ePoster · Neuroscience
Slow transition to chaos and robust reservoir computing in recurrent neural networks with heavy-tailed distributed synaptic weights
Yi Xie, Stefan Mihalas, Lukasz Kusmierz · COSYNE 2025
The synaptic connection strengths in the brain largely follow a heavy-tailed distribution, whereas most theoretical frameworks assume a Gaussian distribution due to the mathematical complexity involved. Understanding how these heavy-tailed distributions influence neural dynamics is crucial for developing more biologically realistic models and theories that better capture the brain's properties. To bridge this gap, we provide both theoretical and computational insights into the dynamics shaped by heavy-tailed synaptic weights through mathematical derivations and case studies in recurrent neural