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Fabrizio Musacchio🧠 New <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#preprint</a>! Confavreux et al. use meta-learning to uncover thousands of diverse, local <a href="https://sigmoid.social/tags/plasticity" class="mention hashtag" rel="nofollow noopener" target="_blank">#plasticity</a> rule quadruplets that stabilize <a href="https://sigmoid.social/tags/RecurrentSpikingNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#RecurrentSpikingNetworks</a> — and incidentally support <a href="https://sigmoid.social/tags/memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#memory</a> functions like novelty detection, replay, & contextual prediction. A striking case of function emerging from stability.📄 <a href="https://doi.org/10.1101/2025.05.28.656584" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1101/2025.05.28.656584</a><a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroscience</a> <a href="https://sigmoid.social/tags/Plasticity" class="mention hashtag" rel="nofollow noopener" target="_blank">#Plasticity</a> <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#ComputationalNeuroscience</a> <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#CompNeuro</a> <a href="https://sigmoid.social/tags/SNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#SNN</a> <a href="https://sigmoid.social/tags/SpikingNeurons" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpikingNeurons</a>

Fabrizio MusacchioVery interesting work by Confavreux and colleagues on <a href="https://sigmoid.social/tags/MetaLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MetaLearning</a> families of <a href="https://sigmoid.social/tags/plasticity" class="mention hashtag" rel="nofollow noopener" target="_blank">#plasticity</a> rules in <a href="https://sigmoid.social/tags/RecurrentSpikingNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#RecurrentSpikingNetworks</a> using simulation-based inference 👌🌍 <a href="https://openreview.net/forum?id=FLFasCFJNo" rel="nofollow noopener" translate="no" target="_blank">https://openreview.net/forum?id=FLFasCFJNo</a><a href="https://sigmoid.social/tags/RSN" class="mention hashtag" rel="nofollow noopener" target="_blank">#RSN</a> <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#CompNeuro</a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroscience</a> <a href="https://sigmoid.social/tags/NeurIPS2023" class="mention hashtag" rel="nofollow noopener" target="_blank">#NeurIPS2023</a> <a href="https://sigmoid.social/tags/SynapticPlasticity" class="mention hashtag" rel="nofollow noopener" target="_blank">#SynapticPlasticity</a> <a href="https://sigmoid.social/tags/SpikingNeuronalNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpikingNeuronalNetwork</a> <a href="https://sigmoid.social/tags/SNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#SNN</a>

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