@ClopathLab

Here is the Clopath Lab website: https://xitter.cf/t.co/0kT5QXdBN1

Joined July 2020
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We were asked to write a commentary on NeuroAI for Nat. Rev. Neuro. with Sadra Sadeh, so here it is: nature.com/articles/s41583-0…

The emergence of NeuroAI: bridging neuroscience and artificial intelligence

Nature Reviews Neuroscience - Neuroscience has inspired artificial intelligence (AI) for decades but, in recent years, AI tools have begun to revolutionize neuroscience research. The emerging field...

nature.com
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Trying to train RNNs in a biol plausible (local) way? Well, try our new method using predictive alignment. Paper just out in Nat. Com. @TAsabuki deserves all the credit! nature.com/articles/s41467-0…
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Are predictions computed hierarchically, or can they be computed locally? Check out our paper! Congrats @TAsabuki pnas.org/doi/10.1073/pnas.24…

Learning predictive signals within a local recurrent circuit | PNAS

The predictive coding hypothesis proposes that top–down predictions are compared with incoming bottom–up sensory information, with prediction error...

pnas.org
Toshitake Asabuki@TAsabuki2 Jul 2025
🚀Out in PNAS! We find that recurrent networks trained with the predictive plasticity rules explain many features of prediction errors observed in experimental studies pnas.org/doi/10.1073/pnas.24… @ClopathLab

Learning predictive signals within a local recurrent circuit | PNAS

The predictive coding hypothesis proposes that top–down predictions are compared with incoming bottom–up sensory information, with prediction error...

pnas.org
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Check out our new paper how to embed state transitions in recurrent networks. Well done @TAsabuki ! elifesciences.org/articles/9…

Embedding stochastic dynamics of the environment in spontaneous activity by prediction-based...

A computational model shows how synaptic plasticity shapes spontaneous activity to encode the transition statistics of sensory experience.

elifesciences.org
Toshitake Asabuki@TAsabuki12 Jun 2025
Now in @eLife “Biologically plausible excitatory/inhibitory plasticity rules in recurrent spiking networks embed state-transition statistics into spontaneous activity.” doi.org/10.7554/eLife.95243.… @ClopathLab

Embedding stochastic dynamics of the environment in spontaneous activity by prediction-based...

A computational model shows how synaptic plasticity shapes spontaneous activity to encode the transition statistics of sensory experience.

elifesciences.org
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Check out our new work on in context learning with Jesse Geerts,@neuro_kim and Stephanie Chan arxiv.org/abs/2506.04289

Relational reasoning and inductive bias in transformers and large...

Transformer-based models have demonstrated remarkable reasoning abilities, but the mechanisms underlying relational reasoning remain poorly understood. We investigate how transformers perform...

arxiv.org
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How should you combine sensory inputs with your internal predictions? Well, use uncertainty directly computed by your prediction-error circuits. Cool? Check out our Nat. Com. paper with Loreen Hertäg and Katha Wilmes. nature.com/articles/s41467-0…

Uncertainty estimation with prediction-error circuits

Nature Communications - How the brain integrates sensory input and predictions to adapt to change is not fully understood. Here authors build a neural network model to show how prediction-error...

nature.com
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The @ClopathLab has a fully funded PhD position open for Oct in Computational Neuroscience at Imperial College London. If you are interested, just send us an informal e-mail!
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How can a biologically plausible synaptic plasticity rule tame the chaos in recurrent neural networks? Check out our latest preprint in @ClopathLab! biorxiv.org/content/10.1101/…
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Want to hear more about how feedback can guide learning in RNNs for motor adaptation. Here is our new paper in Nat. Com. with @BarbaFeu and @JAlGallego nature.com/articles/s41467-0…

A neural implementation model of feedback-based motor learning

Nature Communications - How the brain adapts our movements to new conditions remains unclear. Here, the authors show that a recurrent neural network that controls its output using error-based...

nature.com
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ClopathLab retweeted
SWC@SWC_Neuro19 Feb 2025
Check out the full paper in @CellCellPress from Mateo Velez-Fort, Lee Cossell, @_porta_laura, @ClopathLab and Troy Margrie ⬇️ cell.com/cell/fulltext/S0092…

Motor and vestibular signals in the visual cortex permit the separation of self versus externally...

Mouse primary visual cortical neurons receive running, linear translation, and visual inputs that linearly combine to differentially represent the same visual flow information, depending on the...

cell.com
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Check out our new paper with the Margrie lab in Cell on motor and vestibular signals in the visual cortex. Well done Mateo Velez-Fort! cell.com/cell/fulltext/S0092…

Motor and vestibular signals in the visual cortex permit the separation of self versus externally...

Mouse primary visual cortical neurons receive running, linear translation, and visual inputs that linearly combine to differentially represent the same visual flow information, depending on the...

cell.com
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Want to hear more about hippocampus-to-cortex feedback circuit? Our paper with the Basu lab is out in Nat Neuro! rdcu.be/eak1k . Well done Tanvi Butola!
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See our new paper in Science with the Hofer lab. Well done @SaraMederos_ !
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Very grateful for #ERCCoG to fund my research for the next 5 years! erc.europa.eu/news-events/ne…

Consolidator Grants: ERC awards €678m in grants to back excellent research across Europe

The European Research Council (ERC) has awarded its 2024 Consolidator Grants to 328 researchers across Europe. These grants, totalling €678 million, aim to support outstanding scientists and scholars...

erc.europa.eu
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All details, links, code etc. can be found here: tomge.org/papers/simpl/ And a huge shout out to my amazing collaborators @PierreGlaser as well as @ClopathLab @neuro_kim @caswellcaswell! 2/21
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ClopathLab retweeted
Ian Cone@dr_conehed12 Jul 2024
📜Now in @NatureComms : We propose an alternate theory of "RPE-like" DA transients, in which DA's "goal" is to facilitate learning of temporal bases for reward predictive cues (not necessarily to encode a strict RPE). nature.com/articles/s41467-0… w/ Harel Shouval @ClopathLab

Learning to express reward prediction error-like dopaminergic activity requires plastic represent...

Nature Communications - Reinforcement learning is essential for survival. In this paper, the authors explain why current machine learning models are hard to implement biologically, propose a...

nature.com
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🔥We are hiring🔥! The @ClopathLab is looking for Postdocs, come and do cool science😎 with us! Just ping me informally if you are interested!
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Are you a PhD student in machine learning? Looking for meaningful internship? Do you want to use your skills for Social Good?
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Imperial College London (Clopath Lab) and BarefootLaw together are offering a 6-month internship (duration flexible) at BarefootLaw, Kampala, Uganda, to improve a machine learning recommendation system which helps lawyers are BarefootLaw provide free legal guidance.
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Practical information: The application should be sent to [email protected] a 1-page motivation statement and a CV. The internship will start end of summer (date flexible). The travelling costs will be covered, and the student will get a small bursary.
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