wsojka00

phi_gcn

Reward Propagation using Graph Convolutional Networks

gaze-following

Code & documentation reporting results obtained when working on a project named "Gaze-following in nonhuman primates" under the supervision of Prof. Peter Thier, Masih Shafiei and Marius Görner at University of Tübingen.

graph_navigation

Open-source code repository where reinforcement learning agents solve grid-maze environment and represent learning process as a graph learning.

THUS-Torun

all-contributors

✨ Recognize all contributors, not just the ones who push code ✨

Assael2022

Restoring and attributing ancient texts using deep neural networks

bids-specification

Brain Imaging Data Structure (BIDS) Specification

bids-validator

Validator for the Brain Imaging Data Structure

brainiak-tutorials

CaImAn

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

computational-modelling

Code and website accompanying Farrell & Lewandowsky's (2017) book

cv

EDA-on-Netflix---Data-Literacy-WS2021-22

Electrophysiology-Tutorial-for-Neuroscience

This is a tutorial for key data analysis steps used by neuroscientists - filtering, spike extraction, PCA, clustering, and spectral analysis. It applies to neuroscientists who deal with spikes, LFPs, EEGs and EMGs

FindingLandmarks_a_publication_repository

Repository for the publication "Finding landmarks – an investigation of viewing behavior during spatial navigation in VR using a graph-theoretical analysis approach". Contains all scripts used in the publication, for example the pre-processing pipeline and graph theoretical analysis

gym-minigrid

Minimalistic gridworld package for OpenAI Gym

HodgkinHuxley

Code based on Hodgkin-Huxley spiking neuron model in Python made by @giuseppebonaccorso with additional changes and attempts to understand principles of the model.

KordingLab.github.io

Jekyll page for Kording lab webpage

maze

Generate random, solvable mazes and solve them.

maze-generator

Test code for maze generation

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

neural_data_science

Contains programming labs and lecture notes for the lecture "Neural Data Science"

neuro-nav

A set of neuroscience inspired navigation and decision making tasks.

PathFinder

Discover optimum path through graphs of costed links

pyclass23

pypillometry

pupillometry with python

Pythia

Restoring ancient text using deep learning: a case study on Greek epigraphy.

PyTrack

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

rl-starter-files

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code