catniplab / NeuroTask
NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
☆11Updated last week
Alternatives and similar repositories for NeuroTask:
Users that are interested in NeuroTask are comparing it to the libraries listed below
- IBL foundation model☆21Updated 4 months ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆98Updated 2 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 2 weeks ago
- ☆21Updated 2 months ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆27Updated 2 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated last week
- ☆50Updated 2 years ago
- Preferential Subspace Identification Algorithm☆52Updated 6 months ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated last month
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆63Updated 2 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Python tools for participating in Neural Latents Benchmark '21☆61Updated 9 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆36Updated last year
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆57Updated 4 months ago
- ☆76Updated 3 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆30Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 7 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆63Updated 3 weeks ago
- ☆29Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆50Updated last month
- ☆29Updated last year
- Preferential Subspace Identification Algorithm☆49Updated last year
- code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"☆10Updated last month
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆34Updated 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
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- ☆13Updated last year