Alternatives and similar repositories for AdaptiveDecisionMaking_2018:

Users that are interested in AdaptiveDecisionMaking_2018 are comparing it to the libraries listed below

• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• payampiray / VKF
  ☆14Updated 5 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated last year
• csmfindling / learning_variability
  ☆12Updated 5 years ago
• nivlab / opendata
  This project has moved to https://github.com/nimh-dsst/OpenCogData
  ☆25Updated last year
• aweinstein / FHDMM
  ☆13Updated 8 years ago
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆32Updated last year
• drbenvincent / bayesian2afc
  Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.
  ☆14Updated 7 years ago
• compmem / QuantCog
  Introduction to Quantified Cognition
  ☆15Updated 2 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
• gamaleldin / TME
  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
• DrugowitschLab / MultiAlternativeDecisions
  Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.
  ☆10Updated 5 years ago
• payampiray / cbm
  computational and brain/behavior modeling
  ☆32Updated 3 years ago
• pennmem / ptsa
  PTSA - Python Time Series Analysis
  ☆22Updated 9 months ago
• lei-zhang / BayesCog_v0.2
  ☆20Updated 5 years ago
• pauljaffe / task-dyva
  ☆14Updated 5 months ago
• xjwanglab / pyrl
  ☆18Updated 8 years ago
• lei-zhang / talks_and_workshops
  ☆10Updated 3 weeks ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆49Updated 9 years ago
• crgagne / volatility_paper_elife
  ☆11Updated 2 years ago
• lnccbrown / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆11Updated last week
• sjgershm / tlsa_matlab
  Matlab code for Topographic Latent Source Analysis of brain imaging data
  ☆15Updated 9 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 3 years ago
• jmxpearson / rlfit
  Simple Matlab code to fit reinforcement learning models to choice data
  ☆17Updated 5 years ago
• DurstewitzLab / DataAnaBook
  MatLab code for Srpinger book 'Advanced Data Analysis in Neuroscience'
  ☆20Updated 6 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆14Updated 3 years ago
• alexhuth / ndap-fa2018
  neuro data analysis in python
  ☆33Updated 6 years ago
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆37Updated 8 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• gallantlab / tikreg
  Tikhonov regression in python
  ☆31Updated last year