xjwanglab / pycogLinks
Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
☆38Updated 9 years ago
Alternatives and similar repositories for pycog
Users that are interested in pycog are comparing it to the libraries listed below
Sorting:
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆102Updated last year
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- ☆34Updated 2 months ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆31Updated 7 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆85Updated 2 months 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
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated 2 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- repository for grid cell network code☆66Updated 2 years ago
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- 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
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆96Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated last week
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆40Updated 3 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- ☆56Updated 7 months ago
- methods & simulation code to measure sequential replay☆42Updated 4 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- ☆59Updated 3 years ago
- ☆26Updated last week
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 6 years ago
- Python implementation of spike distance metrics☆75Updated last year