xjwanglab / pycogLinks
Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
☆40Updated 9 years ago
Alternatives and similar repositories for pycog
Users that are interested in pycog are comparing it to the libraries listed below
Sorting:
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 4 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆54Updated 9 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆30Updated 2 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
- ☆37Updated 4 months ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆33Updated 9 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
- repository for grid cell network code☆71Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 6 years ago
- Code for Galgali et al, 2023☆14Updated 2 years ago
- Tools for spike data analysis and visualization☆110Updated 2 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆41Updated 4 years ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆248Updated 2 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆72Updated 3 weeks ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21Updated 7 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 6 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆85Updated last month
- ☆29Updated 2 months ago
- Short-term plasticity RNN models in Tensorflow☆36Updated 5 years ago
- Elephant is the Electrophysiology Analysis Toolkit☆228Updated last week
- A package to train neural networks to perform various motor tasks☆72Updated 3 months ago
- methods & simulation code to measure sequential replay☆43Updated 4 years ago
- Software for high density electrophysiology☆30Updated 11 months ago