AdaptiveMotorControlLab / cebra-figures
Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.
☆19Updated last year
Alternatives and similar repositories for cebra-figures:
Users that are interested in cebra-figures are comparing it to the libraries listed below
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆50Updated last month
- ☆50Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 7 months ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆27Updated 2 months ago
- jPCA for Neural Data Analysis in Python☆48Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated last week
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆28Updated 6 years ago
- Poisson Identifiable VAE (pi-VAE)☆51Updated 3 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- Machine Learning Methods for Neural Data Analysis☆13Updated last week
- Home of the neural decode algorithm MINT.☆16Updated 3 months ago
- ☆14Updated 3 weeks ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆29Updated 2 years ago
- Toolbox for analyzing behavioral videos and neural activity☆59Updated last year
- Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…☆23Updated 2 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆29Updated 8 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆95Updated last week
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆98Updated 2 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆68Updated 4 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆47Updated last year
- Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days☆57Updated 3 weeks ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated last month
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆34Updated last year
- IBL core shared libraries☆63Updated this week
- ☆21Updated 2 months ago
- IBL foundation model☆21Updated 4 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
- Preferential Subspace Identification Algorithm☆52Updated 6 months ago