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DrugowitschLab

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

ML-from-scratch-seminar

This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.

Jupyter Notebook

270

VBLinLogit

Variational Bayes linear and logistic regression

MATLAB

DiffModels.jl

Diffusion Model simulation and first-passage time densities in Julia

Julia

C++ Diffusion model toolset with Python and Matlab interfaces

C++

HippocampalSWRDynamics

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

Jupyter Notebook

MultiAlternativeDecisions

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

MATLAB

CoSMo2017

Data and scripts for the CoSMo 2017 summer school

MATLAB

FENS2015

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

MATLAB

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

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

motion-structure-identification

Investigating how humans identify statistical motion relations in dynamic scenes.

Jupyter Notebook

remoteBook

Utilities for working remotely

Shell

Optimal-policy-attention-modulated-decisions

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

MATLAB

DDMLearningWithConfidence

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

Julia

circKF

Code for Kutschireiter, Rast & Drugowitsch (2022). IEEE Transactions on Signal Processing.

Jupyter Notebook

ImpactOfLearningDecisionsOnSAT

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

Julia

DrugowitschLab/motion-structure-used-in-perception

DrugowitschLab

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