Alternatives and similar repositories for workshop-nyu-2019:

Users that are interested in workshop-nyu-2019 are comparing it to the libraries listed below

• lacerbi / workshop-bristol-2019
  Introductory workshop to modeling and model fitting in psychophysics and neuroscience
  ☆11Updated 5 years ago
• mcfrank / rules
  Simple Bayesian rule learning model described in Frank & Tenenbaum (2011), Cognition
  ☆13Updated 9 years ago
• kdesimone / popeye
  A population receptive field estimation tool
  ☆33Updated 3 years ago
• charlesfrye / AppliedStatisticsForNeuroscience
  Materials for UC Berkeley Neuroscience 299
  ☆53Updated 5 years ago
• KordingLab / spykes
  Tools for spike data analysis and visualization
  ☆104Updated 2 years ago
• eminorhan / recurrent-memory
  When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
  ☆16Updated 5 years ago
• Remi-Gau / advanced_fMRI_course
  List of ressources and practicals used for the fMRI data analysis course of UoB (UK) (2014-2017)
  ☆45Updated 2 years ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆68Updated 5 years ago
• poldrack / myconnectome
  Code for the myconnectome project
  ☆32Updated 4 months ago
• nivlab / opendata
  This project has moved to https://github.com/nimh-dsst/OpenCogData
  ☆25Updated last year
• xjwanglab / book
  ☆23Updated 4 months ago
• abrahamnunes / fitr
  Tools for computational psychiatry research.
  ☆9Updated 3 months ago
• Summer-MIND / mind_2017
  Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics
  ☆33Updated 5 years ago
• PrincetonUniversity / PsyNeuLink
  A block modeling system for cognitive neuroscience
  ☆88Updated this week
• kylerbrown / python-for-neuroscience
  A workshop for teaching python to neuroscientists with some previous programming experience.
  ☆34Updated 9 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• marcelomattar / PrioritizedReplay
  Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…
  ☆28Updated 6 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆49Updated 9 years ago
• Summer-MIND / mind_2019
  Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps
  ☆51Updated 5 years ago
• alexhuth / ndap-fa2018
  neuro data analysis in python
  ☆33Updated 6 years ago
• lovelabUCL / dimensionality
  Estimating the functional dimensionality of neural representations
  ☆19Updated 3 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• hddm-devs / kabuki
  Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
  ☆72Updated 2 years ago
• ContextLab / CDL-tutorials
  Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
  ☆16Updated 5 years ago
• the-virtual-brain / tvb-framework
  DEPRECATED: Use tvb-root. The Virtual Brain framework. Requires tvb-library
  ☆45Updated 4 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆70Updated 2 years ago
• mne-tools / mne-hcp
  MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python
  ☆24Updated 8 months ago
• the-virtual-brain / tvb-library
  DEPRECATED: Use tvb-root. The science behind The Virtual Brain
  ☆87Updated last year
• ProjectSEM / SEM
  ☆14Updated 5 years ago
• jbakermans / ManifoldTutorial
  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