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147117

Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)

249408

A computational model of action selection in the basal ganglia (Suryanarayana et al 2019)

a310_cns_2018

Modeling class materials/homework for A310 Computational Neuroscience course at OIST

adhd-modularity

Analysis Code for Hilger & Fiebach (2018): ADHD Symptoms are Associated with the Modular Structure of Intrinsic Brain Networks in a Representative Sample of Healthy Adults, doi: https://doi.org/10.1101/505891, https://www.biorxiv.org/content/10.1101/505891v1.

amath_342-neural_coding

Introduces computational neuroscience, grounded in neuronal and synaptic biophysics. Works through mathematical description of how neurons encode information, and how neural activity is produced dynamically. Uses and teaches Matlab as a programming language to implement models of neuronal dynamics and to perform coding analysis.

basal-ganglia-model

This is a Izhikevich spiking model of basal ganglia for action selection and decision making. (Article: Mandali et al 2015, A spiking Basal Ganglia model of synchrony, exploration and decision making). Please cite the article if you would like to use the source code. The main file to run is sim_stn_gpe.m

bg_sury

A MATLAB-based model of the basal ganglia developed by Suryanarayana et al 2019. Article at http://dx.doi.org/10.1016/j.neunet.2018.10.003

bmtk

Brain Modeling Toolkit

brainandstuff

brainpy-models

Models and examples of BrainPy simulation framework.

brian

Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer developed, for new projects consider using Brian2 instead.

ca1-microcircuit

analyses etc. as related to detailed microcircuit model

ccnss2018_students

ccs

Connectome Computation System

cogrhythms.github.io

Website for the Cognitive Rhythms Collaborative

computational-neuroscience

Code for the assignments for the Computational Neuroscience Course BT6270 in the Fall 2018 semester

computational_neurodynamics

Coursework

computationalneurodynamics

Code and exercises for the Computational Neurodynamics course at Imperial College London

computationalneurodynamics-1

computationalneuroscience

Integrate and Fire model, Ring network, BCM rule, Spike time dependent plasticity (STDP), Perceptron and Temporal Difference Learning

computationalneuroscience-1

computationandbrain.github.io

Website for COMS 6998-04 (Fall 2019), Computation and the Brain (Columbia University)

computer-vision-in-action

《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

corticalinhibitorynetwork

Code for Scott Rich's submission to eNeuro on bistability in cortical inhibitory networks

course-content

Summer course content for Neuromatch Academy

course-content-1

d7046e-exercises

danalysiscneuro

Assignments for an academic course

data-analysis

neuroscience

dynamic-brain-network-modularity

Temporal Stability of Modular Brain Network Organization - and its Relationship with Individual Differences (e.g., in General Intelligence)