Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.
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Updated
Aug 27, 2024 - AGS Script
Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.
This repository contains my current doctoral research at the University of Manchester
Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
Factors contribution to GDP-induced [Cl-]i transients (Lombardi et al 2019)
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
Model of the Thalamo-Cortical Microcircuit - Please, refer to the new repository https://github.com/celinesoeiro/TCM-model
Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014)
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.
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.
Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity (Bono & Clopath 2019)
Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b)
Convolutional spiking neural network implementing STDP
Companion code to Confavreux*, Ramesh*, Goncalves, Macke* & Vogels*, Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference, NeurIPS 2023
Parallel-fibre to Purkinje cell plasticity simulator. Multiple optimisation functions incorporated to fit model to experimental data.
Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons
Showcases of Spiking Neural Network, which have Synaptic Plasticity
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