rajanlab / CURBD
Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
☆52Updated 4 years ago
Alternatives and similar repositories for CURBD:
Users that are interested in CURBD are comparing it to the libraries listed below
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆48Updated last week
- ☆48Updated 2 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆29Updated 2 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆33Updated 11 months ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆42Updated last year
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆44Updated 5 years ago
- Preferential Subspace Identification Algorithm☆52Updated 4 months ago
- ☆18Updated last month
- jPCA for Neural Data Analysis in Python☆47Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 5 months ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- ☆22Updated 5 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆53Updated 3 months ago
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years 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
- Sparse component analysis☆26Updated last month
- ☆48Updated 11 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆14Updated last year
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- pynapple collaborative data analysis (high level python scripts)☆37Updated 11 months ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆44Updated last year
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆29Updated 7 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆68Updated 4 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆92Updated this week
- ☆19Updated 3 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆37Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated 2 months ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago