ahwillia / PyNeuron-ToolboxLinks
Some python functions to supplement the NEURON python module
☆29Updated 6 years ago
Alternatives and similar repositories for PyNeuron-Toolbox
Users that are interested in PyNeuron-Toolbox are comparing it to the libraries listed below
Sorting:
- 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
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆36Updated last year
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- Python tools for analysis of neurophysiology data☆37Updated last year
- latent manifold tuning model / P-GPLVM☆12Updated 6 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- Pytorch implementation of LocaNMF☆36Updated 5 years ago
- IBL core shared libraries☆63Updated this week
- YASS: Yet Another Spike Sorter☆70Updated 2 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- A SciUnit library for validation testing of spiking neural network models.☆16Updated last year
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- A class for using ML algorithms for spike prediction☆61Updated 7 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 3 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆83Updated 2 weeks ago
- Some of my python tools for computational neuroscience☆12Updated this week
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆12Updated 2 years ago
- Computational toolbox for analysis of calcium imaging data of neuronal populations☆33Updated last year
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Spike sorting software being developed at Flatiron Institute, based on JRCLUST (Janelia Rocket Cluster)☆28Updated 3 years ago
- Detect synchronous and overlapped spikes in extracellular recordings using Binary Pursuit (Pillow et al 2013)☆12Updated 10 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆27Updated last year