Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b)
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Updated
Apr 23, 2018 - AMPL
Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b)
Showcases of Spiking Neural Network, which have Synaptic Plasticity
Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity (Bono & Clopath 2019)
Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014)
Numerical integration of mean-field equations for large-scale leaky integrate-and-fire neuronal network simulations incorporating synaptic plasticity via Graupner Brunel model. Includes support for a memory-induction stim-pop.
Simulate multiple independent leaky integrate-and-fire neurons. Incorporates synaptic plasticity model. Useful for comparing effect of independence vs causal synaptic coupling on synaptic plasticity.
Parallel-fibre to Purkinje cell plasticity simulator. Multiple optimisation functions incorporated to fit model to experimental data.
This repository contains my current doctoral research at the University of Manchester
Simulation code for Limbacher, T. and Legenstein, R. (2020). Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring
Python code accompanying the paper https://doi.org/10.1101/460568
Convolutional spiking neural network implementing STDP
Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons
Factors contribution to GDP-induced [Cl-]i transients (Lombardi et al 2019)
Companion code to Confavreux*, Ramesh*, Goncalves, Macke* & Vogels*, Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference, NeurIPS 2023
Model of the Thalamo-Cortical Microcircuit - Please, refer to the new repository https://github.com/celinesoeiro/TCM-model
Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.
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