eminorhan / recurrent-memoryLinks
When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
☆16Updated 6 years ago
Alternatives and similar repositories for recurrent-memory
Users that are interested in recurrent-memory are comparing it to the libraries listed below
Sorting:
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆40Updated 9 years ago
- Code for the paper "A Flexible Model of Working Memory" Bouchacourt and Buschman, 2019☆21Updated 6 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆34Updated 10 months ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 7 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆73Updated 5 years ago
- Code for Galgali et al, 2023☆14Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Updated 9 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆98Updated 3 years ago
- ☆42Updated 5 months ago
- Short-term plasticity RNN models in Tensorflow☆36Updated 5 years ago
- ☆18Updated 6 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 4 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆50Updated 2 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Tools for spike data analysis and visualization☆111Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- methods & simulation code to measure sequential replay☆43Updated 4 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆51Updated 4 years ago
- Tutorial codes for modeling brains with neural nets☆237Updated 4 years ago
- Python tools for analysis of neurophysiology data☆37Updated 2 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- ☆20Updated 9 years ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Updated 6 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 9 months ago
- Python exercises accompanying the book "Neuronal Dynamics"☆274Updated last year