This is a self-played snake game that uses genetic algorithm and neural network to learn and improve its gameplay over time. The game is built using the p5.js library for graphics and user interface, and the tensorflow.js and neataptic libraries for machine learning.

T2N is an extension of the TREES toolbox providing an interface between Matlab and the compartmental modeling environment NEURON. It was published in (and should be cited this way): Beining M, Mongiat, LA, Schwarzacher SW, Cuntz H, Jedlicka P: T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born denta…

A research tool based in virtual reality. Produced by the Center for Computational Mathematics and Modeling at Temple University

A BBP Simulation Control application for NEURON

Set of tools in Blender to create models for MCell/Neuron hybrid simulations

The LCN-HippoModel is a biophysically realistic model of CA1 pyramidal cells aimed to get novel insights on firing dynamics in deep and superficial populations during the theta rhythm.

This package performs material transport simulation in the complex geometry of neurons using isogeometric analysis (IGA)

NMODL to NeuroML Language Translator

Using Simulated Training Data of Voxel-level Generative Model to Improve 3D Neuron Reconstruction

Python implimentation Nonlinear Dynamics Simulation

SIM-CE is an advanced, user-friendly modeling and simulation environment in Simulink, for performing multi-scale behavioral analysis of the nervous system of Caenorhabditis elegans (C. elegans).

Bio-physical neural network simulator for Mind-in-Vitro

visualize how individual neuron PSTHs look in population space

Code for simulations of action potential propagation

FREs and QIF neurons simulations

Interactive spiking neuron models

CA1_Cutsuridis_new, Using Magnesium to simulate impact on Alzheimer's Disease

Investigating the performance of a cross-correlation method of inferring functional connectivity in adaptive-exponential integrate and fire (aEIF) neuron model on small-scale neuronal networks of different activity patterns (synchronous & regular / asynchronous & regular) and topologies (random / scale-free).

Reverse Engineering the Gate Composition given the Voltage Trace of a Gate