awillats / dynamics-in-neuro-reading-list
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
☆38Updated 3 years ago
Alternatives and similar repositories for dynamics-in-neuro-reading-list:
Users that are interested in dynamics-in-neuro-reading-list are comparing it to the libraries listed below
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆51Updated last month
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated this week
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- ☆51Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆49Updated last year
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 3 weeks ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆65Updated 2 months ago
- Preferential Subspace Identification Algorithm☆52Updated 6 months ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- NEural MOdelS, a statistical modeling framework for neuroscience.☆95Updated this week
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 7 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated 2 weeks ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 2 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- Neuroelectrophysiology object model and data analysis in Python.☆51Updated last month
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- A open toolbox of several machine learning approaches for sharp-wave ripple detection☆28Updated 9 months ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆79Updated 8 months ago
- ☆52Updated 2 months ago
- Tutorial☆10Updated 4 years ago
- ☆23Updated 5 years ago
- WIP: Python port of Kilosort2☆50Updated last year
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆26Updated last month
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆36Updated last year
- Code for neural and behavioral data analysis from the Brain Computation and Behavior Lab, aka AyA Lab, at Cornell University.☆17Updated this week
- ☆29Updated 2 years ago