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:
- 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
- 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☆33Updated 9 months ago
- 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
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- Short-term plasticity RNN models in Tensorflow☆36Updated 5 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆54Updated 9 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- ☆37Updated 4 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- Code for Galgali et al, 2023☆14Updated 2 years ago
- repository for grid cell network code☆71Updated 2 years ago
- Tutorial codes for modeling brains with neural nets☆236Updated 4 years ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21Updated 7 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆50Updated 2 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 4 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆97Updated 3 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 6 years ago
- Tools for spike data analysis and visualization☆110Updated 2 years ago
- ☆56Updated 9 months ago
- ☆18Updated 6 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆31Updated 7 years ago
- Python tools for analysis of neurophysiology data☆37Updated 2 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 4 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 8 years ago