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ML-from-scratch-seminar
ML-from-scratch-seminar PublicThis repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
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DiffModels.jl
DiffModels.jl PublicDiffusion Model simulation and first-passage time densities in Julia
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HippocampalSWRDynamics
HippocampalSWRDynamics PublicCode for Krause and Drugowitsch (2022). "A large majority of awake hippocampal sharp-wave ripples feature spatial trajectories with momentum". Neuron.
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MultiAlternativeDecisions
MultiAlternativeDecisions PublicCode for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.
Repositories
- ML-from-scratch-seminar Public
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
DrugowitschLab/ML-from-scratch-seminar’s past year of commit activity - RevisitingHierarchicalPlaceFields Public
Code used to generate figures in "Revisiting efficient representations of space in hierarchical place field populations"
DrugowitschLab/RevisitingHierarchicalPlaceFields’s past year of commit activity - OptimalMultisensoryDecisionMakingwithRT Public
Some code used in Drugowitsch, DeAngelis, Klier, Angelaki & Pouget (2014) and Drugowitsch, DeAngelis, Angelaki & Pouget (2015)
DrugowitschLab/OptimalMultisensoryDecisionMakingwithRT’s past year of commit activity - HippocampalSWRDynamics Public
Code for Krause and Drugowitsch (2022). "A large majority of awake hippocampal sharp-wave ripples feature spatial trajectories with momentum". Neuron.
DrugowitschLab/HippocampalSWRDynamics’s past year of commit activity - BayesianRingAttractor Public
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
DrugowitschLab/BayesianRingAttractor’s past year of commit activity - PPC-Geometry-NeurReps22 Public
DrugowitschLab/PPC-Geometry-NeurReps22’s past year of commit activity - structure-in-motion Public
Code for the research paper "Structure in motion: visual motion perception as online hierarchical inference" by Johannes Bill, Samuel J Gershman, and Jan Drugowitsch
DrugowitschLab/structure-in-motion’s past year of commit activity - motion-structure-used-in-perception Public
Python code and data for Bill et al. "Hierarchical structure is employed by humans during visual motion perception"
DrugowitschLab/motion-structure-used-in-perception’s past year of commit activity
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