nmasse / Short-term-plasticity-RNN
Short-term plasticity RNN models in Tensorflow
☆34Updated 5 years ago
Alternatives and similar repositories for Short-term-plasticity-RNN:
Users that are interested in Short-term-plasticity-RNN 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…☆34Updated 6 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- repository for grid cell network code☆61Updated 2 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated this week
- ☆48Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated 2 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆33Updated 11 months ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated this week
- jPCA for Neural Data Analysis in Python☆47Updated last year
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆94Updated 7 months ago
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 8 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆53Updated 3 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- ☆29Updated last year
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆29Updated 2 years ago
- ☆18Updated last month
- ☆75Updated 3 years ago
- ☆19Updated 3 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆41Updated 3 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆60Updated last year
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆34Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- IBL foundation model☆20Updated 3 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 5 months ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆58Updated 3 weeks ago
- sequential learning in orthogonal subspaces☆13Updated 4 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆68Updated 4 years ago