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Raphaël Bergoin

@raphaelbergoin.bsky.social

Postdoctoral Researcher, working at the intersection of AI 💻 and neurosciences 🧠 @UKEHamburg Previously @etislab and @cbcUPF sites.google.com/view/raphael-bergo…

Posts Replies Media

Raphaël Bergoin @raphaelbergoin.bsky.social · 24/07/2025

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Raphaël Bergoin @raphaelbergoin.bsky.social · 24/07/2025

I don't know if it will ever be published, but at least I have a nice animation

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Raphaël Bergoin @raphaelbergoin.bsky.social · 24/04/2025

On another side, the number of inhibitory neurons controls the maximal memory capacity of the considered model, while mixed selective neurons can be sustainably encoded as well.

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Raphaël Bergoin @raphaelbergoin.bsky.social · 24/04/2025

On one side, these inhibitory circuits favour long-term memory consolidation of the learned memories by inducing spontaneous memory recalls in the asynchronous irregular resting phase.

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Raphaël Bergoin @raphaelbergoin.bsky.social · 24/04/2025

We find that only the combination of two inhibitory STDP sub-populations allows for the formation of stable modules in the network, with each sub-population playing a distinctive role.

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Raphaël Bergoin @raphaelbergoin.bsky.social · 24/04/2025

In this paper we show that stable encoding of memories can emerge due to targeted stimulation and simple spike-timing-dependent plasticity (STDP) rules, based only on pre- and post-synaptic spike times, in the absence of any control mechanism.

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Raphaël Bergoin @raphaelbergoin.bsky.social · 24/04/2025

I’m pleased to annonce the publication of our research on the «Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP» in @PLOS Computational Biology. doi.org/10.1371/jour...

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