There are 3 repositories under working-memory topic.
We introduce temporal working memory (TWM), which aims to enhance the temporal modeling capabilities of Multimodal foundation models (MFMs). This plug-and-play module can be easily integrated into existing MFMs. With our TWM, nine state-of-the-art models exhibit significant performance improvements across QA, captioning, and retrieval tasks.
Working memory tests on JavaScript (digit span, operation span, visual array, spatial span)
N-Back Task Games designed to improve working memory and cognitive abilities.
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
A simple Android app that helps you improve your working memory
Spiking neuronal network simulations (Python, NEST Simulator) for continuous attractor working memory networks with short-term plasticity.
The classic dual n-back task implemented in Matlab; includes position, sound, and color options.
Example code accompanying the sternberg concept cell data release for Kyzar et al. (2024)
A setup to evaluate working memory using EEG signals
Estimate the demand of working memory in Social Cognition Tasks using HCP-fMRI dataset
Code for "Interpersonal movement synchrony responds to high- and low-level conversational constraints" (Paxton & Dale, 2017, Frontiers in Psychology).
A flutter app that can generate Chinese lyrics, poems and prose based on your given words and photos using GPT-2 and Working Memory Model. Designed to polish your twitter or moments.
Implementation of the change detection task aimed at measuring working memory capacity
This is our Neuromatch Academy 2020 computational neuroscience summer school group project.
Analysis Code and Data of "Concept neurons in the human medial temporal lobe flexibly represent abstract relations between concepts" (Bausch et al., 2021). Also see https://www.nature.com/articles/s41467-021-26327-3
Visual Working Memory Game in Python which gives you the gameplay data
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.
A unified working & short-term memory task for artificial neural networks.
Script for immunology and cognition analyses in UK Biobank
Large Scale Neural Modeling (LSNM) simulator in Python
Working Memory model description submitted for the 2020 WBAI Modelathon.
This repository is the MATLAB codes for the WM with SR model, published in iScience journal.
Working Memory Architecture and Demand model created by Montbretia Cabinet in NMA Computational Neuroscience course and Impact Scholars Program.
Multi-Agent Framework built on VoltAgent. Similar to n8n but its not no code, allowing you to create advanced multi-agent systems with memory, tools. & more
A psychophysics paradigm using checkerboard stimuli to assess working memory performance.
A psychophysics task using sequential paradigm with bar stimuli to assess working memory performance.
Working Memory Inspired Hierarchical Video Decomposition with Transformative Representations
Visual Working Memory experiment for Presentation® NeuroBehavioral Systems
The analysis pipeline for our paper 'Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex'.
This repository is the MATLAB codes for the WM with SR model, published in iScience journal.