orena1 / NEURON_tutorialLinks
Tutorial for understanding how to use NEURON simulation environment
☆34Updated 5 years ago
Alternatives and similar repositories for NEURON_tutorial
Users that are interested in NEURON_tutorial are comparing it to the libraries listed below
Sorting:
- 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
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆28Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- ☆58Updated 2 years ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆156Updated last year
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 6 months ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆29Updated 5 months ago
- Elephant is the Electrophysiology Analysis Toolkit☆220Updated 5 months ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- Code accompanying Steinmetz et al., 2019☆60Updated 4 years ago
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆161Updated last week
- Python-module for calculation of extracellular potentials from multicompartment neuron models and networks☆83Updated 7 months ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆102Updated last week
- Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF☆103Updated this week
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated 3 weeks ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆40Updated 3 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆29Updated 5 years ago
- A MATLAB toolbox for performing information theory analyses of neuroscience data☆74Updated 7 years ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆233Updated 2 months ago
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆71Updated last month
- Modules for processing extracellular electrophysiology data from Neuropixels probes☆119Updated last year
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- IBL core shared libraries☆63Updated this week
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 5 months ago
- Tutorial codes for modeling brains with neural nets☆233Updated 4 years ago
- STATS320: Statistical Methods for Neural Data Analysis☆198Updated 2 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Tutorial☆11Updated 4 years ago