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#computationalneuroscience — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #computationalneuroscience, aggregated by home.social.

  1. Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

    🌍 fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

  2. #NeuralPlasticity & #learning are distinct but interrelated processes. #Plasticity denotes biological change in #NeuralSystems, while learning is its functional expression in #NetworkDynamics & #behavior. Learning arises from coordinated plastic processes, reshaping #NeuralStateSpace & #attractors to support stable yet flexible representations. Here's a new post on these concepts & their implications for #ComputationalNeuroscience:

    🌍fabriziomusacchio.com/blog/202

    #CompNeuro #Neuroscience