Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
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Updated
Nov 21, 2017 - Python
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
A setup to evaluate working memory using EEG signals
This repository contains all codes necessary to reproduce figures and results reported in Stein, Barbosa et al. (Nature Communications, 2020) from the raw data acquired in human behavioral experiments (data included in the repository), and from the relevant model simulations.
Spiking neuronal network simulations (Python, NEST Simulator) for continuous attractor working memory networks with short-term plasticity.
Visual Working Memory Game in Python which gives you the gameplay data
Generative working memory in Transformer decoder
A unified working & short-term memory task for artificial neural networks.
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