lacerbi / workshop-nyu-2019Links
Introductory workshop to modeling and model fitting in cognitive and computational neuroscience
☆15Updated 5 years ago
Alternatives and similar repositories for workshop-nyu-2019
Users that are interested in workshop-nyu-2019 are comparing it to the libraries listed below
Sorting:
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 6 years ago
- ☆23Updated 7 months ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- Tools for computational psychiatry research.☆10Updated 6 months ago
- Tools for spike data analysis and visualization☆106Updated 2 years ago
- A population receptive field estimation tool☆33Updated 4 years ago
- A tutorial on neuroinformatics resources for computational modellers☆66Updated 5 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆72Updated 2 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics☆33Updated 5 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- PTSA - Python Time Series Analysis☆22Updated last year
- 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
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Simple Bayesian rule learning model described in Frank & Tenenbaum (2011), Cognition☆13Updated 10 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆29Updated 7 years ago
- neuro data analysis in python☆32Updated 6 years ago
- Ideas for models that could be made with Nengo if anyone has time☆9Updated 2 years ago
- A workshop for teaching python to neuroscientists with some previous programming experience.☆35Updated 9 years ago
- MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python☆25Updated 11 months ago
- Code for the myconnectome project☆32Updated 7 months ago
- cli for downloading data from crcns.org☆31Updated last year
- Collection of tutorials about methods of computational neuroscience using Python☆78Updated 8 years ago
- YASS: Yet Another Spike Sorter☆67Updated 2 years ago
- Python package for power mapping and functional connectivity using DICS☆37Updated 3 weeks ago
- Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techni…☆78Updated 10 years ago
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago