amathislab / Task-driven-Proprioception
[Cell 2024]: Code for Task-driven neural network models predict neural dynamics of proprioception by Marin Vargas* and Bisi* et al.
☆12Updated 9 months ago
Alternatives and similar repositories for Task-driven-Proprioception:
Users that are interested in Task-driven-Proprioception are comparing it to the libraries listed below
- A package to train neural networks to perform various motor tasks☆59Updated 5 months ago
- jPCA for Neural Data Analysis in Python☆45Updated last year
- ☆46Updated 2 years ago
- Preferential Subspace Identification Algorithm☆50Updated 2 months ago
- ☆12Updated 2 weeks ago
- ☆11Updated last month
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆14Updated this week
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆26Updated 2 years ago
- Preferential Subspace Identification Algorithm☆47Updated 11 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆69Updated 4 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆42Updated last year
- Toolbox for analyzing behavioral videos and neural activity☆57Updated last year
- Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days☆48Updated last week
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- ☆21Updated 5 years ago
- Home of the neural decode algorithm MINT.☆14Updated last year
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆39Updated 3 months ago
- Code for neural and behavioral data analysis from the Brain Computation and Behavior Lab, aka AyA Lab, at Cornell University.☆17Updated last week
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆46Updated 3 months ago
- Code and data to accompany the Rosenberg 2021 Preprint☆18Updated last year
- Neuromechanics_Course_2020☆50Updated 2 years ago
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 6 months ago
- ☆11Updated 9 months ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- Code accompanying Steinmetz et al., 2019☆55Updated 3 years ago
- ☆17Updated 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…☆22Updated 2 years ago
- A gui for browsing joint calcium imaging + behavioral data.☆51Updated last month