colleenjg / OpenScope_CA_Analysis
Analysis code for the OpenScope Credit Assignment project.
☆11Updated 9 months ago
Alternatives and similar repositories for OpenScope_CA_Analysis:
Users that are interested in OpenScope_CA_Analysis are comparing it to the libraries listed below
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆45Updated 5 years ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- ☆49Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- Deconvolution of calcium imaging data☆93Updated 2 months ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆49Updated last month
- Coding exercises for Neural Data Science at CSHL in 2019☆28Updated 4 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- Revealing neural correlates of behavior without behavioral measurements☆14Updated 5 years ago
- jPCA for Neural Data Analysis in Python☆47Updated last year
- UnitRefine is a machine-learning toolbox that simplifies spike sorting curation by reducing manual curation.☆15Updated this week
- ☆50Updated last month
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 6 months ago
- Tutorial☆10Updated 4 years ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆95Updated last week
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆27Updated 6 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆38Updated 3 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- ☆70Updated 2 years ago
- ☆76Updated 3 years ago
- Region Of Interest Classification and Tracking☆18Updated this week
- Mesoscale activity ephys ingest schema☆11Updated last year