yinawei Goto Github PK

all-active-model

all-active-workflow-1

Creating the code base for All-active Model generation written on top of Bluepyopt

allensdk

ateam-tools

bmtk

Brain Modeling Toolkit

cellclassifier

Cell type classifier based on cardiac-related features

course-content

NMA Computational Neuroscience course

coursera-trigger-word-detection

Sequence Models - Trigger word detection

data_incubator

datasharing

The Leek group guide to data sharing

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

ds30

Data Science in 30 Minutes

ecephys_spike_sorting

Modules for processing extracellular electrophysiology data from Neuropixels probes

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

githubtutorial

handwritingbci

Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"

human_all_active_models_eap

Single-cell all-active models of human neocortical neurons with detailed morphology used in the publication by Mosher*, Wei* et al. "Cellular classes in the human brain revealed in vivo by heartbeat-related modulation of the extracellular action potential waveform", Cell Reports (2020)

ipfx

kilosort

Fast spike sorting with drift correction for up to a thousand channels

mouse-all-active-models-eap

mouse_v1_eap_analysis

phy

phy: interactive visualization and manual spike sorting of large-scale ephys data

pig_eap_analysis

practicalmachinelearningproject

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyriemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

pythontutorial

A Beginner's Python Tutorial

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

sleep-sws-stimulation

Code to replicate results for experiments with stimulation during slow oscillations in small thalamocortical network. Reference: Stimulation Augments Spike Sequence Replay and Memory Consolidation during Slow-Wave Sleep. https://www.jneurosci.org/content/40/4/811.

sleepreplayconsolidation

Repository for Nature Communications paper entitled "Sleep-like Unsupervised Replay Reduces Catastrophic Forgetting in Artificial Neural Networks"