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ML-from-scratch-seminar
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.VBLinLogit
Variational Bayes linear and logistic regressionDiffModels.jl
Diffusion Model simulation and first-passage time densities in Juliadm
C++ Diffusion model toolset with Python and Matlab interfacesHippocampalSWRDynamics
Code for Krause and Drugowitsch (2022). "A large majority of awake hippocampal sharp-wave ripples feature spatial trajectories with momentum". Neuron.MultiAlternativeDecisions
Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.CoSMo2017
Data and scripts for the CoSMo 2017 summer schoolFENS2015
Code for a tutorial on normative solutions to the speed-accuracy trade-off in perceptual decision makingBayesianRingAttractor
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.2210622120motion-structure-used-in-perception
Python code and data for Bill et al. "Hierarchical structure is employed by humans during visual motion perception"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 Drugowitschmotion-structure-identification
Investigating how humans identify statistical motion relations in dynamic scenes.remoteBook
Utilities for working remotelyOptimal-policy-attention-modulated-decisions
Code accompanying paper "Optimal policy for attention-modulated decisions explains human fixation behavior".DDMLearningWithConfidence
Scripts to generate plots of "Learning optimal decisions with confidence" paperImpactOfLearningDecisionsOnSAT
Code and data accompanying Mendonca et al., (2020): The impact of learning on perceptual decisions and its implication for speed-accuracy tradeoffs.Love Open Source and this site? Check out how you can help us