neuromethods / inference-for-integrate-and-fire-modelsLinks
Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains
☆10Updated 5 years ago
Alternatives and similar repositories for inference-for-integrate-and-fire-models
Users that are interested in inference-for-integrate-and-fire-models are comparing it to the libraries listed below
Sorting:
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆69Updated 2 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Updated 2 years ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆19Updated 5 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- ☆11Updated 7 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 6 years ago
- code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings☆27Updated 9 years ago
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆46Updated 8 months ago
- ☆30Updated 3 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- ☆24Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 2 months ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- Network plotting python package☆12Updated 3 years ago
- ☆18Updated 4 years ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆44Updated last week
- Training spiking neural networks for sound localization☆66Updated 3 months ago
- ☆26Updated 4 months ago
- Gaussian Process Factor Analysis☆30Updated 10 years ago
- Toolbox for detecting and analyzing rhythms as transient spectral events☆21Updated last year
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆30Updated 6 months ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆31Updated last year
- Dynamic Causal Modelling for MNE and the nipy ecosystem☆22Updated 7 years ago
- Analysis code used to create figures in Gao et al., 2017☆15Updated 8 years ago
- A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task☆21Updated 8 months ago
- Numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University for analysing real-life time-series.☆37Updated 5 years ago
- ☆16Updated 11 months ago
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆11Updated last year