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Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…
Data and analysis code for Jung et al. Nat. Neurosci. 2024, A dopamine-mediated formation of memory module in the nucleus accumbens for goal-directed navigation.
OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁🧠🔬🖥️📈
Tools for the analysis of behavior and neural data from the dynamic foraging task
A library that defines AIND data schema and validates JSON.
A low-level interface to data collected with the Harp binary protocol
Bonsai/Harp workflow for Dynamic Foraging with Python GUI for visualization and control
pyqt5 dependent applications for IBL sessions
A Python-based module for creating flexible and robust spike sorting pipelines.
Port of the lims2 eye-tracking pipeline - outputs annotated points and ellipse fits for eye-perimeter, pupil and corneal reflection.
Bonsai/Harp workflow for Dynamic Foraging with Python GUI for visualization and control
phy: interactive visualization and manual spike sorting of large-scale ephys data
Repository for collecting manual curation data for spike-sorting
Task implemention of VR Foraging experiment
Entry point of "han's temporary pipeline" for dynamic foraging
Code related to the brainwide map paper
Automated 3D brain registration with support for multiple species and atlases.
suite2p wrapper for multi-trial multi-session recordings
pynapple collaborative data analysis (high level python scripts) 🍹
Supplementary scripts for Step-by-step active inference modelling tutorial
Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and theta phase information. Used in Hardcastle et al., 2017.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Neural network tracking code applied to single mice in open fields assays.
TensorFlow Basic Tutorial Labs
Vector-based navigation using grid-like representations in artificial agents
Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy