๐Ÿง  New #preprint! Confavreux et al. use meta-learning to uncover thousands of diverse, local #plasticity rule quadruplets that stabilize #RecurrentSpikingNetworks โ€” and incidentally support #memory functions like novelty detection, replay, & contextual prediction. A striking case of function emerging from stability.

๐Ÿ“„ https://doi.org/10.1101/2025.05.28.656584

#Neuroscience #Plasticity #ComputationalNeuroscience #CompNeuro #SNN #SpikingNeurons

Very interesting work by Confavreux and colleagues on #MetaLearning families of #plasticity rules in #RecurrentSpikingNetworks using simulation-based inference ๐Ÿ‘Œ

๐ŸŒ https://openreview.net/forum?id=FLFasCFJNo

#RSN #CompNeuro #Neuroscience #NeurIPS2023 #SynapticPlasticity #SpikingNeuronalNetwork #SNN

Meta-learning families of plasticity rules in recurrent spiking...

There is substantial experimental evidence that learning and memory-related behaviours rely on local synaptic changes, but the search for distinct plasticity rules has been driven by human...

OpenReview