DrugowitschLab/DDMLearningWithConfidence DrugowitschLab/DDMLearningWithConfidence

  • Stars
    star
    1
  • Language
    Julia
  • License
    BSD 3-Clause "New...
  • Created almost 5 years ago
  • Updated almost 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
DrugowitschLab/DDMLearningWithConfidence
github

DrugowitschLab

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Scripts to generate plots of "Learning optimal decisions with confidence" paper

More Repositories

1

ML-from-scratch-seminar

This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
Jupyter Notebook
270
star
2

VBLinLogit

Variational Bayes linear and logistic regression
MATLAB
34
star
3

DiffModels.jl

Diffusion Model simulation and first-passage time densities in Julia
Julia
18
star
4

dm

C++ Diffusion model toolset with Python and Matlab interfaces
C++
16
star
5

HippocampalSWRDynamics

Code for Krause and Drugowitsch (2022). "A large majority of awake hippocampal sharp-wave ripples feature spatial trajectories with momentum". Neuron.
Jupyter Notebook
12
star
6

MultiAlternativeDecisions

Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.
MATLAB
9
star
7

CoSMo2017

Data and scripts for the CoSMo 2017 summer school
MATLAB
6
star
8

FENS2015

Code for a tutorial on normative solutions to the speed-accuracy trade-off in perceptual decision making
MATLAB
5
star
9

BayesianRingAttractor

This repo contains the code for simulations and figures in Anna Kutschireiter, Melanie A Basnak, Rachel Wilson & Jan Drugowitsch. 2023. Bayesian inference in ring attractor networks. PNAS. https://doi.org/10.1073/pnas.2210622120
Jupyter Notebook
4
star
10

motion-structure-used-in-perception

Python code and data for Bill et al. "Hierarchical structure is employed by humans during visual motion perception"
Python
4
star
11

structure-in-motion

Code for the research paper "Structure in motion: visual motion perception as online hierarchical inference" by Johannes Bill, Samuel J Gershman, and Jan Drugowitsch
Python
3
star
12

motion-structure-identification

Investigating how humans identify statistical motion relations in dynamic scenes.
Jupyter Notebook
3
star
13

remoteBook

Utilities for working remotely
Shell
3
star
14

Optimal-policy-attention-modulated-decisions

Code accompanying paper "Optimal policy for attention-modulated decisions explains human fixation behavior".
MATLAB
1
star
15

circKF

Code for Kutschireiter, Rast & Drugowitsch (2022). IEEE Transactions on Signal Processing.
Jupyter Notebook
1
star
16

ImpactOfLearningDecisionsOnSAT

Code and data accompanying Mendonca et al., (2020): The impact of learning on perceptual decisions and its implication for speed-accuracy tradeoffs.
Julia
1
star