@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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