Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System

Last update: Oct 28, 2022

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Overview

Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System

This repository contains code for the paper

Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia.

Install requirements

python -m venv env
source env/bin/activate
python -m pip install -r requirements.txt

Running the examples

python reaching_example.py
python random_example.py
python belief_tracking.py
python eye_example.py

Owner

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Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System

Related tags

Overview

Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System

Install requirements

Running the examples

Owner

WiFi-based Multi-task Sensing

Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"

The Noise Contrastive Estimation for softmax output written in Pytorch

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DGCNN - Dynamic Graph CNN for Learning on Point Clouds

Allele-specific pipeline for unbiased read mapping(WIP), QTL discovery(WIP), and allelic-imbalance analysis

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