Dynamics-of-Neural-Systems-Lab / MARBLELinks
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets.
☆86Updated 2 months ago
Alternatives and similar repositories for MARBLE
Users that are interested in MARBLE are comparing it to the libraries listed below
Sorting:
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 6 months ago
- ☆59Updated 3 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated last week
- Preferential Subspace Identification Algorithm☆54Updated 4 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated 5 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated last year
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆114Updated 8 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated last month
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 7 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 6 years ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆50Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 6 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆106Updated this week
- Python tools for participating in Neural Latents Benchmark '21☆63Updated last year
- ☆54Updated 3 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆84Updated last month
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated last month
- Home of the neural decode algorithm MINT.☆19Updated 8 months ago
- ☆45Updated this week
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 6 months ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆36Updated 3 years ago
- ☆31Updated last year
- ☆26Updated 4 months ago
- a visualization method for neural data☆236Updated 6 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆72Updated 5 years ago
- Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days☆68Updated 2 weeks ago