This repository contains some numerical analysis regarding physical models applied to both Ecology and Neuroscience, written in Python.

Reference repository for code used in our NBDT publication on the dynamic clicks task

Publications by Peter Overmann

Short description of me !

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.

Theoretical Neuroscience Models

Code for my paper: "Theta sequences as eligibility traces: a biological solution to credit assignment"

code to infer model parameters from data (first dedicated to the dynamic clicks task)

My attempt at working through the exercises presented in Peter Dayan & LF Abbott's 2003 introductory textbook "Theoretical Neuroscience: Computational And Mathematical Modeling of Neural Systems

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

Extended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).

An implementation of the Morris-Lecar Neuron from Theoretical Neuroscience

An implementation of Olshausen and Field (96) in PyTorch