neuro-galaxy / torch_brainLinks
☆45Updated this week
Alternatives and similar repositories for torch_brain
Users that are interested in torch_brain are comparing it to the libraries listed below
Sorting:
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆87Updated 2 months ago
- ☆54Updated 3 months ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆114Updated 8 months ago
- Preferential Subspace Identification Algorithm☆54Updated 4 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 7 months ago
- ☆81Updated 3 years ago
- Python tools for participating in Neural Latents Benchmark '21☆63Updated last year
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆70Updated 3 weeks ago
- ☆26Updated 4 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
- ☆17Updated last month
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 7 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆106Updated this week
- ☆59Updated 3 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated last month
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated last month
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated last week
- Machine Learning Methods for Neural Data Analysis☆19Updated 4 months ago
- ☆31Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated 5 months ago
- Towards large neural data models.☆30Updated 3 months ago
- Tools for analyzing spiking data from single-neuron recodings.☆29Updated last month
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆29Updated 2 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated last year
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- State-space Oscillator Modeling And Time-series Analysis (SOMATA) is a Python library for state-space neural signal processing algorithms…☆32Updated last year
- Toolbox for analyzing behavioral videos and neural activity☆60Updated last year
- A reservoir computing toolbox for neuroscientists☆107Updated 9 months ago