fmastrogiuseppe / LowRankLinks
Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogiuseppe and S. Ostojic (2018)
☆35Updated 7 years ago
Alternatives and similar repositories for LowRank
Users that are interested in LowRank are comparing it to the libraries listed below
Sorting:
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 7 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- ☆59Updated 3 years ago
- ☆56Updated 7 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆50Updated last month
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated 2 months ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆102Updated last year
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆88Updated 2 months ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 6 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆51Updated 2 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 6 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆55Updated 7 months ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 8 months ago
- ☆26Updated last week
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- ☆34Updated 2 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated last week
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆39Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆36Updated 3 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated 2 months ago