An implementation of Olshausen and Field (96) in PyTorch
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Updated
Aug 16, 2020 - Python
An implementation of Olshausen and Field (96) in PyTorch
Extended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).
This repository contains my current doctoral research at the University of Manchester
Code for simulations and some of the plots from article "Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks" by Everton J Agnes and Tim P Vogels
Code for my paper: "Theta sequences as eligibility traces: a biological solution to credit assignment"
Publications by Peter Overmann
An implementation of the Morris-Lecar Neuron from Theoretical Neuroscience
This repository contains some numerical analysis regarding physical models applied to both Ecology and Neuroscience, written in Python.
code to infer model parameters from data (first dedicated to the dynamic clicks task)
A software simulator of the Neural Dependency Cartesian Product (NxN), a Neurocybernetic model for systems of neurons, derived by forming the Cartesian product of the neurons by the neurons.
A curated list of awesome computational neuroscience libraries, software and any content related to the domain. A forked repo from analyticalmonk.
Short description of me !
Reference repository for code used in our NBDT publication on the dynamic clicks task
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