xjwanglab / bookLinks
☆23Updated 6 months ago
Alternatives and similar repositories for book
Users that are interested in book 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)☆53Updated 4 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆52Updated 2 months ago
- ☆52Updated 2 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆48Updated last year
- jPCA for Neural Data Analysis in Python☆50Updated last year
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆28Updated 2 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆70Updated 5 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated last month
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆20Updated last month
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆72Updated 3 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- ☆52Updated 3 months ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 3 months ago
- Code accompanying Steinmetz et al., 2019☆60Updated 3 years ago
- Preferential Subspace Identification Algorithm☆52Updated last week
- ☆48Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- ☆22Updated 2 weeks ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 2 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 8 months ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆30Updated 9 months ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆94Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆40Updated 5 years ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆44Updated last year
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆59Updated 3 weeks ago