buschman-lab / FlexibleWorkingMemoryLinks
Code for the paper "A Flexible Model of Working Memory" Bouchacourt and Buschman, 2019
☆21Updated 6 years ago
Alternatives and similar repositories for FlexibleWorkingMemory
Users that are interested in FlexibleWorkingMemory are comparing it to the libraries listed below
Sorting:
- methods & simulation code to measure sequential replay☆42Updated 4 years ago
- ☆53Updated last year
- ☆54Updated 6 months ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics☆33Updated 6 years ago
- MEG MVPA Tutorial☆32Updated 4 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- Pattern Component Modelling toolbox for multivariate analysis☆33Updated 6 months ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 5 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆50Updated 2 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated last week
- Recordings of 10k neurons during spontaneous behaviors☆53Updated last year
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆38Updated 9 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 5 months ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 6 months ago
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.☆99Updated 5 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆31Updated last year
- ☆16Updated 10 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆83Updated 3 weeks ago
- ☆17Updated 6 years ago
- A drift-diffusion modeling (DDM) framework for Python☆99Updated last month
- Matlab tools for running M/EEG analyses - NO LONGER SUPPORTED - Please use Python Version Instead: https://github.com/OHBA-analysis/osl☆31Updated 2 years ago
- computational and brain/behavior modeling☆32Updated 4 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆29Updated 6 months ago
- ☆27Updated 3 weeks ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆95Updated 3 years ago
- Code accompanying Steinmetz et al., 2019☆60Updated 4 years ago