aiweber / GLM_and_Izhikevich
This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural responses.
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for GLM_and_Izhikevich
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆16Updated 7 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- Code for Galgali et al, 2023☆11Updated last year
- ☆29Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆62Updated last year
- Extracting neuronal functional network dynamics via adaptive Granger causality analysis☆19Updated 6 years ago
- ☆46Updated 2 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 7 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆44Updated 2 months ago
- Recurrent state-space models for decision making☆29Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆35Updated 5 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆25Updated 2 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆25Updated 8 years ago
- ☆9Updated 4 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 3 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆43Updated 5 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆21Updated 3 years ago
- Gaussian Process Factor Analysis☆28Updated 9 years ago
- ☆24Updated last year
- Coding exercises for Neural Data Science at CSHL in 2019☆28Updated 4 years ago
- Code and data for the book "Case Studies in Neural Data Analysis"☆33Updated 7 years ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆16Updated 4 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆13Updated 6 years ago
- ☆21Updated 4 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆33Updated 2 years ago