A model of optimal learning with redundant synaptic connections (Hiratani & Fukai 2018)

This is a detailed neuron model of non-parametric near-optimal latent model acquisition using multisynaptic connections between pre- and postsynaptic neurons.

Model Type: Neuron or other electrically excitable cell

Cell Type(s): Neocortex L2/3 pyramidal GLU cell

Model Concept(s): Synaptic Plasticity

Simulation Environment: NEURON; Python

Implementer(s): Hiratani,Naoki [N.Hiratani at gmail.com]


Hiratani N, Fukai T. (2018). Redundancy in synaptic connections enables neurons to learn optimally. Proceedings of the National Academy of Sciences of the United States of America 115 [PubMed]