Andreas Tolias Lab @AToliasLab Twitter profile

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Andreas Tolias Lab

27 days

Check out our new #BCI . Subdural, flexible μECoG device features 65,536 channels, with bi-directional wireless communication and power enabling decoding the primate brain with high spatiotemporal resolution. Compare specs to other #BCIs

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Andreas Tolias Lab

@AToliasLab

1 year

Does the concept of cortical columns extend to higher-level primate cortex? Using #DeepLearning & physiology, we found that V4 neurons cluster in columns & form functional groups Led by @KonstantinWille @kelli_restivo w/ @sinzlab @kfrankelab @alxecker 🧵

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Andreas Tolias Lab

@AToliasLab

4 years

Functional connectomics to mechanistically dissect cortical algorithms. We align 2P calcium with EM data using CNMF framework to recover cell body and dendritic activity in EM volume. Thanks @IARPAnews for funding

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Andreas Tolias Lab

@AToliasLab

4 years

Multimodal census-atlas of cell types of mouse and primate motor cortex including Patch-Seq data. Massive effort from labs of @NIH BRAIN Initiative. Proud to be part of it with @CellTypist @FedericoScala7 @hippopedoid @sandberglab

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Andreas Tolias Lab

@AToliasLab

3 months

Last day @bcm_neurosci after an incredible 15+ yrs. Immensely thankful to our brilliant students, postdocs, staff, collaborators, and colleagues. Next up: @Stanford ! Thrilled for new adventures and collaborations in the Bay Area as we unlock the secrets of intelligence!

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Andreas Tolias Lab

@AToliasLab

5 years

#InceptionLoops combine large scale recordings with #DeepLearning to reveal a neuron's feature selectivity, such as most exciting inputs. Optimal stimuli for mouse V1 are not Gabors. in #NatureNeuroscience Lead by @eywalker @sinzlab together with @ecobost

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Andreas Tolias Lab

@AToliasLab

4 years

With @AllenInstitute and @SebastianSeung we release our MICrONS @IARPAnews phase 1 functional connectomics data . Movie shows 2P calcium and EM data aligned together using EASE with cell body and dendritic activity in EM volume. .

Allen Institute

@AllenInstitute

4 years

Announcing the MICrONs Explorer: A virtual observatory of the cortex 👉 This data portal includes #openscience #electronmicroscopy based reconstructions of cortical circuitry from mouse visual cortex.

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Andreas Tolias Lab

@AToliasLab

2 years

1/4 Excited to share our latest work on feedback (FB). . There are abundant FB connections between cortical areas. To understand its function and its circuit level mechanisms we need to discover the FB cell type writing rules.

Distinct organization of two cortico-cortical feedback pathways

Nature Communications - Cortical activity is modulated by an intricate network of feedforward and feedback connectivity. Here the authors demonstrate distinct organizational rules govern feedback...

www.nature.com

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Andreas Tolias Lab

@AToliasLab

5 years

Canonical circuits are thought to makeup the #cortex . But what is canonical about them? Lead by @FedericoScala7 and Dmitry Kobak we show that not all cell types are present across areas and propose that specific circuit motifs are used as building blocks

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Andreas Tolias Lab

@AToliasLab

3 years

Proud to release our MICrONS multi-area data , the largest functional connectome to date, containing 200,000 cells, 75,000 neurons with functional imaging, and 523 million synapses. Excited to see the discoveries from this dataset.

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Andreas Tolias Lab

@AToliasLab

4 years

1/2 As suggested by our huge Patch-seq effort lead by @FedericoScala7 and @hippopedoid published today in @nature the tree of cortical cell types seems more like a banana tree with a few large leaves, rather than an olive tree with many small ones

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Andreas Tolias Lab

@AToliasLab

5 years

Finding optimal stimuli for neurons has long been central for understanding information processing in the brain. This is hard because the search space is high-dimensional and sensory information processing is fundamentally nonlinear.Check out our preprint

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Andreas Tolias Lab

@AToliasLab

5 years

Neuroscience has inspired #DeepLearning , but lacks methods to directly translate neural data into better #AI algorithms. Lead by Zhe Li in our @NeurIPSConf paper we used neural data to engineer more robust AI algorithms with better generalization .

Learning From Brains How to Regularize Machines

Despite impressive performance on numerous visual tasks, Convolutional Neural Networks (CNNs) --- unlike brains --- are often highly sensitive to small perturbations of their input, e.g....

arxiv.org

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Andreas Tolias Lab

@AToliasLab

5 months

Saddened by the loss of my PhD advisor, Peter Schiller . A distinguished neuroscientist, he dedicated his career to passionately exploring the visual and oculomotor systems of the macaque brain. His legacy endures through decades of innovative work.

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Andreas Tolias Lab

@AToliasLab

1 year

Unraveling structure-function links in the brain is a relentless pursuit! Our collaborative analysis of #MICrONS data unveils a universal wiring rule, including feedback! Synaptic connectivity is driven by shared feature preference, not receptive fields.

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Andreas Tolias Lab

@AToliasLab

7 months

Join the Moore and Tolias Labs for a unique postdoc at @Stanford in cognition, perception and AI research. Leverage Neuropixels, #AI , and closed-loop experiments for groundbreaking neuroscience. Apply with CV and research statement to camilal @stanford .edu.

Home | MooreLab

www.moorelabstanford.com

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Andreas Tolias Lab

@AToliasLab

5 years

Are the same cell types and connectivity rules recycled across the neocortex? Check out our preprint on the organization of L4 in V1 and S1 with Scala, Kobak, Shan, Bernaerts, Laturnus, Cadwell, Hartmanis, Castro, Tan, Sandberg, @CellTypist and Jiang

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Andreas Tolias Lab

@AToliasLab

5 months

Summary of statistical distances and their underlying Geometries

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Andreas Tolias Lab

@AToliasLab

2 months

URGENT: BRAIN Initiative funding slashed by $267M, a 40% cut! This jeopardizes crucial brain research. Demand action NOW! Use the link to email your reps. @SfNtweets , are you mobilizing? @MarinaP63 , take ACTION! #SaveBrainResearch

TK Kozai (BIONICLab.org)

@BIONIC_Lab

2 months

Please contact your government representative to fund the BRAIN Initiative and encourage your colleagues and trainees to do the same:

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Andreas Tolias Lab

@AToliasLab

4 years

(1/5) Our latest work (led by @GMvandeVen , published in @NatureComms ) provides an exciting example of how insights from neuroscience can help address shortcomings of deep learning:

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Andreas Tolias Lab

@AToliasLab

1 year

There is an open letter calling for an "immediately pause for at least 6 months the training of AI systems more powerful than GPT-4". Do you agree ?

Pause training

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Andreas Tolias Lab

@AToliasLab

4 years

Understanding intra-cortical feedback requires deciphering its wiring logic. There are 2 pathways. Motor to sensory (MS) is via VIP+ and intra visual cortex (VC) via SST+ cells. MS facilitates bursting while VC increases time precision. Lead by @shenshanpku

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Andreas Tolias Lab

@AToliasLab

4 years

1/3 Lead by @froudara we study how the geometry of objet manifolds changes across the cortical hierarchy using large scale recordings across the whole visual cortex. With @UriCohen42 @DiamantakiMaria @eywalker @viajake @CellTypist @HSompolinsky

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Andreas Tolias Lab

@AToliasLab

5 years

We deciphered a circuit neocortical connectivity motif: Developmental clones composed of different excitatory cell types prefer to connect across cortical layers and not within layers to assemble the neocortex. Lead by @crcadwell and great collaborators

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Andreas Tolias Lab

@AToliasLab

5 years

#DeepLearning surpasses humans in many tasks ( #AlphaGo ) but does not generalize well to new situations. With @fabiansinz @xaqlab @viajake @bethgelab we discuss ideas in @NeuroCellPress how neuroscience can guide the quest for better generalization.

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Andreas Tolias Lab

@AToliasLab

4 years

Interested in how #DeepLearning can help understand #brains and how #neuroscience can advance #AI ? Two weeks left to apply to @FENSorg summer school in beautiful #Tuscany ! Great line of lecturers and hands-on workshop on #DeepLearning and #brain data.

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Andreas Tolias Lab

@AToliasLab

2 years

Very excited to see our work published in #Nature lead by the amazing @kfrankelab and @KonstantinWille and awesome collaboration with @sinzlab . See cool movies and read thread describing how pupil dilation rapidly tunes color vision by switching between rods & cones.

Katrin Franke

@kfrankelab

2 years

So excited this is out @Nature 🎉 Pupil dilation with internal brain state rapidly shifts neural feature/color selectivity in mouse visual cortex by switching between rod&cone photoreceptors👁️🧠 Shared work with @KonstantinWille , @AToliasLab & @sinzlab

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Andreas Tolias Lab

@AToliasLab

4 years

Clones of excitatory neurons preferentially connect vertically across layers but not laterally within the same layer suggesting that integration of vertical intra-clonal input with lateral inter-clonal input maybe a developmental motif supporting cortical function

Cathryn Cadwell

@crcadwell

4 years

Very excited to share our recent work examining the cell type composition and layer-specific connectivity matrix of clonally related excitatory neurons in mouse neocortex with @AToliasLab @CellTypist @hippopedoid @fabiansinz @xlchiang and @sandberglab .

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Andreas Tolias Lab

@AToliasLab

5 years

With @eywalker @fabiansinz @froudara Fahey Muhammad @alxecker @ecobost @viajake @xaqLab we developed Inception Loops: a closed-loop optimization method combining in vivo recordings and in silico nonlinear modeling to find Most Exciting Images (MEIs) we show back to the brain.

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Andreas Tolias Lab

@AToliasLab

4 years

We are excited to be part of this work on Chandelier and pyramidal cells wiring principles and function

Allen Institute

@AllenInstitute

4 years

Check out the latest preprint from our #electronmicroscopy connectomics studies: Our researchers describe the findings in the thread below 👇 These collaborative efforts with @SebastianSeung & @AToliasLab are supported by @IARPAnews MICrONS.

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Andreas Tolias Lab

@AToliasLab

5 years

The visual cortex in Context. With @froudara @paulgfahey @viajake Smirnakis Tehovnik we review the interactions of mouse visual cortex with the rest of the brain.

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Andreas Tolias Lab

@AToliasLab

6 years

Interested in linking structure, function and computation in cortex? Together with our wonderful collaborators we have 17 presentations at #sfn2018 including recording from ~100K neurons in 1mm^3 and use #DeepLearning to dissect brain function (sessions: 219, 519, 699, 767, 088)

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Andreas Tolias Lab

@AToliasLab

4 years

Interested on the neural code of uncertainty and how likelihood functions are represented in the brain. Have fun over the holidays reading our paper with @eywalker @peabody124 @weijima01 that just came out today @NatureNeuro

A neural basis of probabilistic computation in visual cortex

Nature Neuroscience - Although Bayesian models provide good accounts of perceptual decisions, it is unclear how their components are represented in the brain. This paper addresses this question by...

www.nature.com

Wei Ji Ma

@weijima01

4 years

Sick and tired of holiday fun? A cure: our paper on V1! @eywalker @peabody124 @AToliasLab (and for the image: apologies to Jorge Cham @PHDcomics )

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Andreas Tolias Lab

@AToliasLab

7 months

Awesome work! It's fantastic to see the #InceptionLoops paradigm powering this exciting study! Merging large-scale experiments with #AI tools and closed-loop experiments is unveiling the functional organization of the mouse visual cortex.

Inception loops discover what excites neurons most using deep predictive models

Nature Neuroscience - The authors develop a deep learning approach that enables an efficient search of the input space to find the best stimuli for modeled neurons. When tested, these stimuli are...

www.nature.com

Blake Richards

@tyrell_turing

7 months

1/ What is the organization of mouse visual cortex across regions? In our latest work led by Rudi Tong and Stuart Trenholm, now out on bioRxiv () we mapped the "feature landscape" of mouse visual cortex. Here is a #tweeprint thread about what we found.

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Andreas Tolias Lab

@AToliasLab

4 years

Horace Barlow has passed away at 99 years old. He is a giant in Neuroscience and vision research.

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Andreas Tolias Lab

@AToliasLab

6 months

Really excited to host my wonderful friend and amazing scientist @TrackingActions for the first seminar in 2024!

BCM Department of Neuroscience

@bcm_neurosci

6 months

Join us Friday, 1/5 from 11am-12pm in M112, DeBakey bldg., for the weekly #neuroscience seminar series feat. Dr. Mackenzie Mathis @TrackingActions from @EPFL . Seminar Title: ‘Learnable Neural Dynamics’.

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Andreas Tolias Lab

@AToliasLab

5 years

Are functional maps a universal principle of the organization of the mammalian neocortex after all ? Do we just have to look harder to find them ? Congrats to everyone especially @paulgfahey for great team work !

Jacob Reimer

@viajake

5 years

Using dense, large-field-of-view 2P imaging we find a global map of orientation in mouse visual cortex. We're as surprised as you! Still salt-and-pepper in small fields of view. With @atoliaslab and @sinzlab . Congrats @paulgfahey et al!

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Andreas Tolias Lab

@AToliasLab

5 years

Very proud of @eywalker and his PhD thesis work on the interface of #neuroscience and #DeepLearning . Find out how to use #InceptionLoops to decipher representations in the brain and about the neural code of uncertainty

A neural basis of probabilistic computation in visual cortex

For more than a century, Bayesian-inspired models have been used to explain human and animal behavior, suggesting that organisms represent the uncertainty associated with sensory variables. Neverth...

www.biorxiv.org

BCM Department of Neuroscience

@bcm_neurosci

5 years

Congratulations to Edgar Walker who successfully defended his thesis this week!!! Edgar is from the lab of Dr. Andreas Tolias and gave an impressive talk on a very complex project titled, “From Visual Perception to Decision: Encoding and Decoding in V1.” #Congrats #PhD

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Andreas Tolias Lab

@AToliasLab

4 years

Our data so far support a tree model of neuronal types with large branches with distinct morpho-electric features and with a leaf on each branch where neighbouring transcriptomic cell types show similar morpho-electric features (correlated transcript-morpho-electric manifolds)

Philipp Berens

@CellTypist

4 years

proud of all papers from my lab - but this one in particular! patch-seq on >1,300 neurons from mouse motor #cortex yields ephys & anatomy for >70 #transcriptomic #neuron types. with @hippopedoid @FedericoScala7 @AToliasLab @LHartmanis and many others!

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Andreas Tolias Lab

@AToliasLab

1 year

#ChatGPT 's potential to pass the Turing test marks a pivotal moment in AI. We advocate for an embodied Turing test--AI animal agents interacting with the physical world, emulating their living counterparts. #NeuroAI will fuel next-gen AI revolution, merging Neuroscience & AI

Tony Zador

@TonyZador

1 year

@ylecun @seanescola @tyrell_turing @BOlveczky finally! @chklovskii @anne_churchland @ClopathLab @JamesJDiCarlo @SuryaGanguli @koerding @joe6783 @countzerozzz @AdamMarblestone @pouget_alex @SaraASolla @sejnowski @SussilloDavid @AToliasLab @doristsao

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Andreas Tolias Lab

@AToliasLab

7 months

Check out #NeuroAI meeting "From Neuroscience to Artificially Intelligent Systems (NAISys)" at Cold Spring Harbor Laboratory next September

Tony Zador

@TonyZador

7 months

NeuroAI Meeting at CSHL! Sept 28-Oct 4, 2024. Save the date! And retweet @doristsao @tyrell_turing @evadyer @s_y_chung @TrackingActions @realAKoulakov @alonamarie @computingnature @AToliasLab @dyamins

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Andreas Tolias Lab

@AToliasLab

4 years

Interested to do exciting research on the interface of machine learning and Neuroscience to engineer novel AI technologies? Upload AI, a spin-off startup of http:/ninai.org, is hiring ML scientists in the US and Europe @ELLISforEurope (send inquires to info @uploadai .com).

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Andreas Tolias Lab

@AToliasLab

2 years

Excited to see @metricausa 's piece highlighting the power of Patch-seq and how it is used by many labs around the world to link molecular, anatomical and functional levels to dissect brain circuits.

Patch-seq takes neuroscience to a multimodal place

Nature Methods - Patch-seq delivers morphology, electrophysiology and transcriptomic data to those with skill, patience and persistence.

www.nature.com

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Andreas Tolias Lab

@AToliasLab

5 years

If at #sfn2019 pick @NeuroCellPress issue with our article on how #neuroscience can advance #AI . Counter-intuitively #nextgen intelligent algorithms will not come by larger/deeper networks but instead by constraining them by introducing better inductive biases learned from brains

Neuron

@NeuroCellPress

5 years

Going to #SfN19 ? Come pick up our latest issues at the Cell Press booth #101 . Neuron editors will be there too - come meet us!

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Andreas Tolias Lab

@AToliasLab

5 years

(1/5) A major issue in #MachineLearning is that artificial neural networks are very bad at retaining old information when learning something new. Alleviating such catastrophic forgetting is a very hot research topic toward #lifelonglearning in #ArtificialIntelligence

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Andreas Tolias Lab

@AToliasLab

1 year

Thrilled to share our latest work! Kudos to @jiakunfu , @kfrankelab , and all contributors! 🎉 We combined #deeplearning & closed-loop experiments to analyze contextual modulation using natural images. Results: pattern completion & disruption are key characteristics. 🧠💡🔥

Katrin Franke

@kfrankelab

1 year

Excited to share our preprint on contextual modulation in🐭V1 led by @jiakunfu w/ @AToliasLab @sinzlab .. We use CNNs to optimize exciting&inhibiting surround stimuli given the optimal center stimulus. Can you guess what defines excitation&inhibition?🧵👇

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Andreas Tolias Lab

@AToliasLab

6 years

Bayesian statistics, with roots back to #Laplace and von #Helmholtz , explain behavior. However, its neural underpinnings remained speculative. Interested in how neurons encode probabilities and likelihood functions. Check out our paper with @eywalker , James Cotton, @weijima01

Wei Ji Ma

@weijima01

6 years

In 2006, @pouget_alex , Jeff Beck, Peter Latham, and I proposed probabilistic population codes as the neural building block of Bayesian inference. New work, with @eywalker , James Cotton, and @andreastolias , is imo the first to come close to empirical proof:

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Andreas Tolias Lab

@AToliasLab

6 years

Great job and good luck to our @AllenInstitute collaborators. Supercool that for the exact same tissue shown here we also have functional data we collected at @AToliasLab . Large scale functional connectomics is becoming a reality thanks to MICrONS program from @IARPAnews .

Allen Institute

@AllenInstitute

6 years

Check out this real-time brain imaging from our #ElectronMicrocopy team! After an intense round of sectioning over 25,000 ultra thin sections of brain tissue, the team is switching gears to imaging & will be running the microscopes 24/7 for several months

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Andreas Tolias Lab

@AToliasLab

1 year

This is so sad to lose such an impactful member of our community. Krishna was an inspiration to all of us in so many ways. He was a brilliant scientist, engineer and an exemplary human being. Our hearts go out to his loved ones during this difficult time. #RIPKrishna

Rui Costa

@ruimcosta

1 year

So sad to hear about Krishna. A brilliant scientist that transformed his field, a great mentor, a generous human that touched family, friends and colleagues #thankyoukrishna @shenoystanford

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Andreas Tolias Lab

@AToliasLab

6 months

Awesome work. Congratulations @giovannimarchet @naturecomputes and the rest of the team.

Sophia Sanborn

@naturecomputes

6 months

In this new paper, led by @giovannimarchet , we present a unique theoretical result that provides guarantees for the concrete representational structure expected to emerge in a learning system

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Andreas Tolias Lab

@AToliasLab

4 years

Making history !! Congrats @KamalaHarris and @JoeBiden

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Andreas Tolias Lab

@AToliasLab

6 years

@AToliasLab celebrating our @fabiansinz starting his own group at @uni_tue and #CyberValley . @sinzlab is part of our #IARPA #MICrONS , and will do amazing research at the interface of #MachineLearning and #neuroscience . If you are looking for a great PhD opportunity apply now!

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Andreas Tolias Lab

@AToliasLab

1 year

Congrats everyone involved. Landmark manuscript for NHP research dedicated to the great @shenoystanford "We dedicate this manuscript to Krishna Shenoy (1968-2023), whose visionary leadership set this work in motion..."

Eric Trautmann

@EricMTrautmann

1 year

I'm excited to announce our preprint for the Neuropixels 1.0-NHP probe. This represents a large-scale collaborative effort to develop high-density electrodes for neural recording in large animal models like nonhuman primates.

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Andreas Tolias Lab

@AToliasLab

1 year

Interestingly, these functional groups closely resemble the feature maps of units in deep neural networks trained on image classification, suggesting that computational principles are shared among biological & artificial visual systems - see work by @ch402

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Andreas Tolias Lab

@AToliasLab

1 year

Exciting News 🎉! New study led by @zeeweeding & Dat Tran reveals a novel single neuron invariance🧠: bipartite invariance. Half of the RF is tuned to fixed patterns, the other to diverse textures. Thanks to #DeepLearning , this discovery may unlock image segmentation secrets🔓!

Zhiwei Ding

@zeeweeding

1 year

Excited that my thesis work in collab w/ with Dat T. Tran & @AToliasLab is out as a preprint We use #DeepLearning to study single-cell invariance in 🐭 V1 and discover a new form of bipartite invariance that may play a role in object boundary detection.

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Andreas Tolias Lab

@AToliasLab

5 years

Interested to build less artificial and more intelligent algorithms by learning from brains? Join our team! Our is hiring people at all levels with strong background in math and machine learning and with an entrepreneurial spirit interested in AI startups.

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Andreas Tolias Lab

@AToliasLab

9 months

Sign here to support the vision to create a global Brain Behavioral Observatory 🧠! Researchers worldwide 🌏 can propose projects for comprehensive Neuropixel-based brain maps in behaving mice 🐭🔭. #BrainObservatory #Neuroscience #GlobalResearch

Support the BBO Initiative

If you support the Vision & Mission of the BBO, please sign this form. These signatures will be used to support our quest to obtain funds to build & run the BBO free-of-charge in the first (10) years...

docs.google.com

Mackenzie Mathis, PhD

@TrackingActions

11 months

YOU can help us finalize raising funds by signing in support and getting involved ➡️ We just held our first 🧠🌩️ Workshop at @CampusBiotech with a small yet amazing, international group 🇺🇸🇫🇷🇩🇪🇯🇵🇨🇭🇬🇧🇵🇹🇨🇾🇦🇹generously supported by @Boehringer Let's do this!

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Andreas Tolias Lab

@AToliasLab

4 years

@AToliasLab has asked almost all lab members to work from home to "flatten the curve". If your lab is doing the same press like.

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Andreas Tolias Lab

@AToliasLab

1 year

🎉 Huge congrats to @kfrankelab and the entire team for this awesome study! 🐭🧠🌈 It provides important insights into how the mouse visual cortex encodes color, specifically Green/Ultra-Violet and how the cortical organization processing color matches natural scene stats.🎨🔬

Katrin Franke

@kfrankelab

1 year

Excited this work w/ @AToliasLab @CellTypist is now out🎉 How is color🌈represented across mouse visual cortex? We found1⃣extensive color-opponency2⃣distinct color response types3⃣a potential role for Green-On/UV-Off cells in thread detection &4⃣...🧵👇

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Andreas Tolias Lab

@AToliasLab

4 years

Very good preprint from this group in Imperial. The bottom line: Social distancing of the entire population is necessary at this point without treatment or vaccination if we do not want to see millions die in the US alone.

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Andreas Tolias Lab

@AToliasLab

7 years

discussing neuroscience-inspired AI with @demishassabis from @DeepMindAI with @AToliasLab members @viajake @eywalker and @AndreasTolias after Demis gave an excellent talk at Society for Neuroscience today

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Andreas Tolias Lab

@AToliasLab

5 years

@neurowitz @SebastianSeung Lab photo with functional-connectomics baton to image ~ 1.5million neurons-hours for #MICrONS phase 2. Indeed, massive credit to @RJVneurotech and @neurowitz for their vision and leadership. We are all excited to start analysis of #GoldenMouse data.

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Andreas Tolias Lab

@AToliasLab

4 years

This is a cool result. I wonder if similar non-linear dendritic computations are present in neurons in other species too beyond humans.

Yiota Poirazi

@YiotaPoirazi

4 years

In fact it is a single dendritic compartment in human neurons that solves the XOR.

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Andreas Tolias Lab

@AToliasLab

5 years

Six posters (J1-J6) with collaborators in afternoon session at #SfN19 today including "Inception loops" (a powerful way to study representations in cortex using #DeepLearning ), functional-connectomics by @viajake , @sdpapadop , Ding, Christos, NINAI, and J. Fu on variant tuning

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Andreas Tolias Lab

@AToliasLab

4 years

We are excited to present our recent work in @TueNeuroCampus seminar series on Tuesday 6/30.

Philipp Berens

@CellTypist

4 years

Tuesday, 6/30, 5pm, German time, @AndreasTolias is speaking #worldwideneuro about the "The Fabric of the #Neocortex " in the @TueNeuroCampus seminar series @uni_tue @uktuebingen

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Andreas Tolias Lab

@AToliasLab

4 years

To all those scientists working from home now

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Andreas Tolias Lab

@AToliasLab

2 years

We are supper excited to collaborate with @TrackingActions @cris_niell and @xaqlab . If you are interested to work with this awesome team on #activeSensing and #ethologicalVision using large scale recordings, #closeLoopVR and #deepLearning apply to join us.

Mackenzie Mathis, PhD

@TrackingActions

2 years

Funded 🎉! Super excited for my 1st #NIH grant, a U01, w/stellar co-PIs @AToliasLab @cris_niell and @xaqlab ! #ethologicalVision #adaptiveSensing @USBrainAlliance Come join our team —I’m hiring for someone excited to help us develop new closed-loop VR w/deep learning for 🐁

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Andreas Tolias Lab

@AToliasLab

1 year

#AI and Neuroscience enthusiasts! Join @sensorium 's second competition at @NeurIPSConf . Build SOTA digital twins of the visual cortex to predict responses to movies. Organized with @alexecker , @sinzlab and led by Turishcheva and @paulgfahey . Compete now at

SENSORIUM 2023

Welcome to the Sensorium 2023 Competition!

www.sensorium-competition.net

Sensorium

@SensoriumComp

1 year

In addition to the main track for predicting responses to natural videos, this year we test how well models generalize in a bonus track with out-of-domain videos. 3/7

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Andreas Tolias Lab

@AToliasLab

2 years

Read our paper on how brain informed deep learning models and other methods like adversarial training increase robustness and out-of-distribution generalization. We are still far away from #AI with human level generalization. A deeper understanding of brains can help us get there

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Andreas Tolias Lab

@AToliasLab

5 years

Together with @fabiansinz @xaqlab @peabody124 visiting the @VectorInst where pioneering AI research takes place. Lots of exiting discussions and plans with @VectorInst folks from R. Zemel's team for more brain inspired AI and how to make deep nets generalize better.

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Andreas Tolias Lab

@AToliasLab

4 years

Our data so far support a tree model of neuronal types with large branches with distinct morpho-electric features and with a leaf on each branch where neighbouring transcriptomic cell types show similar morpho-electric features (correlated transcript-morpho-electric manifolds)

Dmitry Kobak

@hippopedoid

4 years

Our huge Patch-seq effort is out on bioRxiv: . 1320 neurons in mouse motor cortex patched, sequenced, and mapped to a scRNA-seq atlas. 642 reconstructed morphologies! Our running joke was that it was a bit like catching Pokemons. (1/n)

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Andreas Tolias Lab

@AToliasLab

1 year

🚀Thrilled for our lab to be involved in cutting-edge research that merges data-driven graph-based #MachineLearning approaches with the vast #MICrONS dataset! 🧠 Dive into the possibilities at . #Neuroscience #AI #Connectomics

MICrONS Explorer

www.microns-explorer.org

Alexander Ecker

@alxecker

1 year

📣Excited to share our preprint on excitatory morphological cell types in mouse visual cortex led by Marissa Weis. In this paper, we describe a set of principles that capture the morphological diversity excitatory neurons. A thread: (1/10)

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Andreas Tolias Lab

@AToliasLab

6 years

Looking to find a signal in the noise? Check out our latest paper on how shifts in the focus of attention correlate the activity of neurons in the brain with @ScrawnyG @alxecker @MatthiasBethge @AndreasTolias

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Andreas Tolias Lab

@AToliasLab

4 years

2/2 Exciting collaborative work with @CellTypist @sandberglab @YvesBernaerts @LHartmanis @SophieLaturnus @xlchiang and others

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Andreas Tolias Lab

@AToliasLab

4 years

We should have all academic institutions in the US join the law suit against the new ICE regulations ?

Massachusetts Institute of Technology (MIT)

@MIT

4 years

MIT and Harvard file suit against new ICE regulations:

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Andreas Tolias Lab

@AToliasLab

2 months

please retweet. It is very important to get the message out.

Doris Tsao

@doristsao

2 months

To everyone who has been shocked and depressed by the staggering 40% cut to the BRAIN Initiative: we have a voice! Outside Witness Testimony (aka written testimony) for the FY 2025 appropriations cycle is ongoing. Deadline for the House side is Friday May 3 and the Senate side

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Andreas Tolias Lab

@AToliasLab

6 years

To Build Truly Intelligent Machines, Teach Them Cause and Effect via @QuantaMagazine

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Andreas Tolias Lab

@AToliasLab

4 months

#AI is groundbreaking, but more GPUs alone will likely not achieve robust, trustworthy and interpretable AGI. We need new algorithms, as current #AI is very data-hungry and we may be running out of data. Also, it's uncertain how well current #AI generalizes beyond training data.

Sharon Goldman

@sharongoldman

4 months

Sam Altman wants up to $7 trillion for AI chips. The natural resources required would be 'mind boggling,' @SashaMTL told me. "Even if the energy is renewable (which it isn't guaranteed to be), the water and rare earth minerals required is astronomical."

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Andreas Tolias Lab

@AToliasLab

2 years

Much respect @SussilloDavid ! You are inspiration to all of us.

David Sussillo

@SussilloDavid

2 years

It was all a dream. I used to read Discover Magazine. Indeed, my unofficial story is one of group homes and of growing up in the chaos and neglect inherent in having addicted parents and institutional living. It's a story of poverty, survival, perseverance, and hope.

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Andreas Tolias Lab

@AToliasLab

1 year

Excited to be part of this work using diffusion models to generate highly exciting images for neurons. Lead by @ppierzc from @sinzlab

Paweł Pierzchlewicz

@ppierzc

1 year

My latest preprint is out! 🥳 We introduced a new diffusion guidance method EGG 🥚 using energy functions that allowed us to optimize neurally exciting images. Many thanks to @KonstantinWille @ArneNix @pavithraE_ @kfrankelab @AToliasLab @sinzlab Check out the preprint now

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Andreas Tolias Lab

@AToliasLab

1 year

Our findings provide evidence that functional cortical columns may be a generalizable organizing principle in the cortex, beyond primary sensory areas & demonstrates how deep learning can uncover structure-function relationships in the brain by characterizing neuronal tuning

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Andreas Tolias Lab

@AToliasLab

6 years

three recent papers from @AToliasLab in @arxiv_org . 1) : We combined generative replay with feedback connections and developed a general framework for continual learning in #AI with Gido M. van de Ven. Lifelong learning is a long-standing challenge for #AI

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Andreas Tolias Lab

@AToliasLab

5 years

Deep Learning Networks Can't Generalize—But They're Learning From the Brain via @singularityhub

Deep Learning Networks Can't Generalize—But They're Learning From the Brain

Our brains reuse the same neural network for different experiences, which relies on the ability to generalize and not forget previous learnings.

singularityhub.com

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Andreas Tolias Lab

@AToliasLab

1 year

Moreover, the selectivity of the neuronal population was clustered in the similarity space, suggesting that V4 tuning properties identified using the neuron’s optimal stimuli can be separated into functional groups selective for a specific feature, reminiscent of cell types

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Andreas Tolias Lab

@AToliasLab

4 years

Flies maybe smarter than we think.

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Andreas Tolias Lab

@AToliasLab

5 years

"Taming the Wild Data World of Neuroscience". Perspective from @SimonsFdn featuring among others @YatsenkoDimitri president of @vathesllc discussing the amazing @DataJointIO framework for programming scientific databases and computational data pipelines

Taming the Wild Data World of Neuroscience

Taming the Wild Data World of Neuroscience on Simons Foundation

www.simonsfoundation.org

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Andreas Tolias Lab

@AToliasLab

5 years

I had a great time visiting the @karolinskainst in #Stockholm today and being the opponent in the PhD defense of Carolina Bengtsson Gonzales. Congratulations Carolina you did an excellent job !

Marie Carlén

@CarlenLab

5 years

The PhD defense of Carolina Bengtsson Gonzales in @HjerlingLeffler lab @karolinskainst is coming up with @AndreasTolias @AToliasLab as opponent. The fabric of the brain will apparently be discussed. Good luck Carolina! 💪🏻 #thefabricofthebrain

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Andreas Tolias Lab

@AToliasLab

2 years

Looking forward to hosting this exciting virtual event with @KarlDeisseroth ! Please join us next Friday, 2/18 at 1pm CT!

BCM Department of Neuroscience

@bcm_neurosci

2 years

Join us next Friday, 2/18 at 1pm CT, for a virtual "Discussion with @KarlDeisseroth " about his latest published book, "Projections". Event hosted by @AToliasLab ! All are welcome!

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Andreas Tolias Lab

@AToliasLab

1 year

The contrastive learning method was based on this publication: Thanks to @CellTypist @hippopedoid Niklas Bohm for their help in implementing it!

Unsupervised visualization of image datasets using contrastive...

Visualization methods based on the nearest neighbor graph, such as t-SNE or UMAP, are widely used for visualizing high-dimensional data. Yet, these approaches only produce meaningful results if the...

openreview.net

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Andreas Tolias Lab

@AToliasLab

1 year

The #MICrONS dataset (), collected by @AToliasLab , @AllenInstitute , and @SebastianSeung lab, is the largest mouse functional connectomics dataset combining large-scale two-photon and EM imaging.

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Andreas Tolias Lab

@AToliasLab

1 year

We fitted the readout of a pre-trained robust ResNet50 on our V4 data to predict neuronal firing rates to natural images, achieving high performance. We treated this model as a “digital twin” of macaque V4 and used it for vast in silico experimentation

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Andreas Tolias Lab

@AToliasLab

5 years

Looking forward to present our research today at the 6th Annual Cracking the Neural Code Symposium organized by @KarlDeisseroth and Mark Schnitzer at @Stanford

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Andreas Tolias Lab

@AToliasLab

3 years

Check out our exciting preprint with @kfrankelab @KonstantinWille @sinzlab and others . We discovered that pupil dilation during active behavior tunes mouse color vision towards UV enabling better detection of aerial predators against the background of the twilight sky.

Katrin Franke

@kfrankelab

3 years

Thrilled to share our work @biorxiv_neursci "Behavioral state tunes mouse vision to ethological features through pupil dilation" We identify a new role of rapid pupil dilation with behavioral/brain state /w @KonstantinWille @sinzlab @AToliasLab & 1/n👇

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Andreas Tolias Lab

@AToliasLab

6 years

Lead by @fabiansinz a novel RNN gives SOA population prediction on video and models brain states ( #nips2018 ). Predictive models allow unlimited in silico exp to dissect computation but need to generalize outside training statistics. Our model can do this.

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Andreas Tolias Lab

@AToliasLab

1 year

Here, we asked whether area V4, a mid-level area of the macaque visual system, is organized into functional columns. We presented grayscale natural images & recorded responses of >1200 single V4 neurons in 100 electrophysiological recording sessions using 32-channel depth probes

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Andreas Tolias Lab

@AToliasLab

4 years

Learning predictive models of the brain is time consuming. Led by @peabody124 together with @sinzlab we developed a new #DeepLearning method that enables inferring tuning functions of neurons orders of magnitude faster than current methods. Check out our #NeurIPS2020 paper.

R. James Cotton

@peabody124

4 years

Our ( @AToliasLab and @sinzlab ) NeurIPS 2020 paper on developing a "Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses" is now on arXiv: with . Here is a short summary:

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Andreas Tolias Lab

@AToliasLab

1 year

Amazing breakthrough! 🔬🧠🌡️ @kft70 lab just uncovered the intricate molecular mechanisms underlying neuropathic chronic pain and revealed an exciting therapeutic target 💊. Take note - this could be a game-changer in pain management! #neuroscience #painresearch @NeuroCellPress

Kim Tolias

@kft70

1 year

Happy to share our new paper @NeuroCellPress studying the underlying mechanisms and a potential therapeutic target for chronic pain. @kft70 @Li_Lab_UAB @bcm_neurosci @BCMFromtheLabs

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Andreas Tolias Lab

@AToliasLab

3 years

Our lab is hiring!! We are looking for a technician to perform mouse experiments, including large scale recordings and Patch-seq. Apply here: or email your resume to camilal @bcm .edu (please see link for minimum qualifications).

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Andreas Tolias Lab

@AToliasLab

5 years

Collaborative work with Ben Arenkiel lab lead by Gary Liu and @froudara exploring the role of inhibitory cells in olfactory processing published in @NatureComms .

eman

@froudara

5 years

In our recent paper published at @NatureComms we show how EPL interneurons take part in the non-linear processing in the olfactory bulb of the mouse

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Andreas Tolias Lab

@AToliasLab

1 year

We used our model to generate “Maximally Exciting Images” (MEIs) for each neuron. These MEIs exhibited complex features like textures, shapes, or even high-level attributes such as eye-like structures in line w/ tuning properties of V4 neurons identified using parametric stimuli

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