eminorhan / recurrent-memory
When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
☆16Updated 5 years ago
Alternatives and similar repositories for recurrent-memory:
Users that are interested in recurrent-memory are comparing it to the libraries listed below
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 4 years ago
- Code for the paper "A Flexible Model of Working Memory" Bouchacourt and Buschman, 2019☆22Updated 5 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆17Updated 7 years ago
- Code for Galgali et al, 2023☆12Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 8 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆27Updated 6 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated 2 years ago
- ☆16Updated 5 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- repository for grid cell network code☆59Updated 2 years ago
- methods & simulation code to measure sequential replay☆41Updated 3 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆69Updated 4 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆38Updated 5 years ago
- ☆47Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆45Updated last year
- Ideas for models that could be made with Nengo if anyone has time☆9Updated last year
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆23Updated 6 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆76Updated 5 months ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆48Updated 8 years ago
- Problem sets and materials for systems and computational neuroscience course☆15Updated last week
- Python tools for analysis of neurophysiology data☆36Updated last year
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆44Updated 5 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 3 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆161Updated 6 years ago
- Code accompanying Steinmetz et al., 2019☆55Updated 3 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- Software for high density electrophysiology☆26Updated this week