zwzhang36 Goto Github PK

2021_rouhaniniv

data and code for analysis and figures in "Signed and unsigned reward prediction errors dynamically enhance learning and memory"

a-neural-network-model-for-the-orbitofrontal-cortex-and-task-space-acquisition-

blech_clust

book

buzcode

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

ccnss2017_students

ccnss2018_students

desktop

Simple collaboration from your desktop

dpca

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

gwm

Grid Workload Modeller

headcap-designs-stl-files

Collection of .stl files for in vivo electrophysiology chronic implants

kilotools

basic tools for spike sorting data via kilosort

mathclub

mathematical methods for neuroscience and machine learning

opticka

Opticka is an experiment manager built on top of the Psychophysics toolbox (PTB) for MATLAB. It runs experimental tasks using flexible state machine logic and easily does dynamic methods-of-constants type experiments with full behavioural control. It uses a class system to create simple to use visual stimuli using experimenter friendly units. Opticka can use an Eyelink eyetracker, Plexon Omniplex neurophysiology data collection and general TTL control using either a cheap LabJack (ms precision) or DataPixx/Display++ (µs precision). It contains analysis routines linked to Fieldtrip for spike and LFP data easily parsed in terms of the experimental variables.

pycwt

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

python-100-days

Python - 100天从新手到大师

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

reservoirnet_ofc_taskstate

sensory-evidence_transformation_in_lip

th2-demos

演示如何使用天河2号及解决常见问题

uncoveringtemporalstructurehippocampus

Partial analyses to accompany "Uncovering temporal structure in hippocampal output patterns".

zhao

【编程随想】整理的《太子党关系网络》，专门揭露赵国的权贵