BrainCOGS / HPC_manifoldsLinks
Analysis of hippocampal activity in the towers task
☆20Updated 4 years ago
Alternatives and similar repositories for HPC_manifolds
Users that are interested in HPC_manifolds are comparing it to the libraries listed below
Sorting:
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆27Updated last year
- Machine Learning Methods for Neural Data Analysis☆19Updated 2 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆83Updated last week
- The standardised environment for the hippocampus and entorhinal cortex models☆73Updated 2 weeks ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- ☆79Updated 3 years ago
- Python tools for participating in Neural Latents Benchmark '21☆61Updated last year
- Exercises and examples for the latent dynamics workshop☆19Updated 3 weeks ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆76Updated last week
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 4 months ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated last year
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆29Updated 4 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆101Updated this week
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆23Updated 3 months ago
- Preferential Subspace Identification Algorithm☆52Updated last year
- ☆20Updated 3 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 10 months ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆233Updated last month
- ☆55Updated 2 years ago
- DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity☆17Updated 6 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆139Updated last year
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- ☆23Updated last year