awillats / dynamics-in-neuro-reading-listLinks
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
☆40Updated 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
Sorting:
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years 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
- ☆55Updated 2 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
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆27Updated last year
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆53Updated 5 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 3 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 10 months ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆50Updated last year
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 5 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 4 months ago
- Tutorial☆11Updated 4 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 5 years ago
- Preferential Subspace Identification Algorithm☆53Updated 2 months 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
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆94Updated 3 years ago
- ☆54Updated 5 months ago
- ☆53Updated last month
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- "Approaches to Study Neural Circuits" course☆66Updated 7 months ago
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated last week
- Code accompanying Steinmetz et al., 2019☆60Updated 3 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆42Updated 6 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆31Updated last year
- Preferential Subspace Identification Algorithm☆52Updated last year
- ☆52Updated last year
- ☆23Updated 5 years ago