marius10p / NeuralDataScienceCSHL2019Links
Coding exercises for Neural Data Science at CSHL in 2019
☆29Updated 5 years ago
Alternatives and similar repositories for NeuralDataScienceCSHL2019
Users that are interested in NeuralDataScienceCSHL2019 are comparing it to the libraries listed below
Sorting:
- Revealing neural correlates of behavior without behavioral measurements☆15Updated 5 years ago
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated 2 weeks ago
- IBL core shared libraries☆63Updated this week
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 5 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆102Updated this week
- "Approaches to Study Neural Circuits" course☆66Updated 8 months ago
- ☆24Updated 5 years ago
- Toolbox for analyzing behavioral videos and neural activity☆59Updated last year
- Functions to assess quality of spike sorting results☆34Updated last year
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 5 months 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
- Mesoscale activity ephys ingest schema☆11Updated 2 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- Code accompanying Steinmetz et al., 2019☆60Updated 4 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- ☆54Updated 5 months ago
- ☆57Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 11 months ago
- Create NWB files by converting and combining neural data in proprietary formats and adding essential metadata.☆62Updated this week
- Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF☆102Updated this week
- IaC codebase for the NeuroCAAS Platform☆38Updated last year
- Machine Learning Methods for Neural Data Analysis☆19Updated 3 months ago
- Tutorial☆11Updated 4 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆29Updated 6 months ago
- pynapple collaborative data analysis (high level python scripts)☆37Updated last year
- 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 dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated this week
- Visualization of electrophysiological data from Elephant☆24Updated 10 months ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆94Updated 3 years ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago