pyntcloud is a Python library for working with 3D point clouds.

Generalized Canonical Correlation Analysis

Precise and flexible generation of stimuli for neuroscience experiments.

Bayesian learning and inference for state space models

A Python implementation of global optimization with gaussian processes.

A list of various lists consisting of academics on Mastodon

matplotlib: plotting with Python

Papers from the intersection of deep learning and neuroscience

Neuronal Morphology Analysis Tool

A chrome side-bar extension to visualize reading progress.

Python module for Simulated Annealing optimization

tmux source code

Vundle, the plug-in manager for Vim

Optimization of single-cell biophysically detailed models

认知计算神经联盟 讨论会

Code associated with the paper "Bicknell B.A. & Häusser M., (2021). A synaptic learning rule for exploiting nonlinear dendritic computation".

Awesome Incremental Learning

A list of existing calcium imaging deconvolution methods

pytorch implementation for Contrastive Adaptation Network

CoNNECT: Convolutional Neural Network for Estimating synaptic Connectivity from spike Trains. Endo et al., bioRxiv (2020).

CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.

Tips for paper writing and researches 科技论文写作经验记录和总结

Code for internal lab sharing - polishing has started but is by no means complete

code for reading and processing Allen Institute for Brain Science data

NEURON Simulator

A list of schools and researchers in computational neuroscience

Code from Szoboszlay et al, Functional Properties of Dendritic Gap Junctions in Cerebellar Golgi Cells, Neuron 2016

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)