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    • This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
      Jupyter Notebook
      MIT License
      2428100Updated Oct 19, 2024Oct 19, 2024
    • Network simulation code for Basnak et al. (2024)
      Jupyter Notebook
      BSD 3-Clause "New" or "Revised" License
      0000Updated Aug 8, 2024Aug 8, 2024
    • Code used to generate figures in "Revisiting efficient representations of space in hierarchical place field populations"
      Jupyter Notebook
      0000Updated Jun 13, 2024Jun 13, 2024
    • Some code used in Drugowitsch, DeAngelis, Klier, Angelaki & Pouget (2014) and Drugowitsch, DeAngelis, Angelaki & Pouget (2015)
      MATLAB
      BSD 3-Clause "New" or "Revised" License
      0000Updated Sep 29, 2023Sep 29, 2023
    • Code for Krause and Drugowitsch (2022). "A large majority of awake hippocampal sharp-wave ripples feature spatial trajectories with momentum". Neuron.
      Jupyter Notebook
      BSD 3-Clause "New" or "Revised" License
      71300Updated Apr 18, 2023Apr 18, 2023
    • 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
      BSD 3-Clause "New" or "Revised" License
      0500Updated Feb 7, 2023Feb 7, 2023
    • 0000Updated Nov 2, 2022Nov 2, 2022
    • 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
      BSD 3-Clause "New" or "Revised" License
      0300Updated Oct 6, 2022Oct 6, 2022
    • Python code and data for Bill et al. "Hierarchical structure is employed by humans during visual motion perception"
      Python
      MIT License
      3402Updated Jun 21, 2022Jun 21, 2022
    • circKF

      Public
      Code for Kutschireiter, Rast & Drugowitsch (2022). IEEE Transactions on Signal Processing.
      Jupyter Notebook
      BSD 3-Clause "New" or "Revised" License
      0200Updated Jan 5, 2022Jan 5, 2022
    • Code accompanying paper "Optimal policy for attention-modulated decisions explains human fixation behavior".
      MATLAB
      BSD 3-Clause "New" or "Revised" License
      1200Updated Mar 25, 2021Mar 25, 2021
    • Code for figures in Kafashan et al. (2021). Scaling of sensory information in large neural populations shows signatures of information-limiting correlations.
      MATLAB
      BSD 3-Clause "New" or "Revised" License
      1000Updated Jan 20, 2021Jan 20, 2021
    • dm

      Public
      C++ Diffusion model toolset with Python and Matlab interfaces
      C++
      Other
      81600Updated Dec 14, 2020Dec 14, 2020
    • Investigating how humans identify statistical motion relations in dynamic scenes.
      Jupyter Notebook
      MIT License
      0300Updated Nov 5, 2020Nov 5, 2020
    • Code and data accompanying Mendonca et al., (2020): The impact of learning on perceptual decisions and its implication for speed-accuracy tradeoffs.
      Julia
      BSD 3-Clause "New" or "Revised" License
      0100Updated Jun 8, 2020Jun 8, 2020
    • Diffusion Model simulation and first-passage time densities in Julia
      Julia
      Other
      41800Updated May 29, 2020May 29, 2020
    • Scripts to generate plots of "Learning optimal decisions with confidence" paper
      Julia
      BSD 3-Clause "New" or "Revised" License
      1100Updated Dec 5, 2019Dec 5, 2019
    • Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.
      MATLAB
      MIT License
      3900Updated Aug 23, 2019Aug 23, 2019
    • Variational Bayes linear and logistic regression
      MATLAB
      Other
      143400Updated Jun 27, 2019Jun 27, 2019
    • Code used to generate figures in Drugowitsch, Moreno-Bote & Pouget (2014). Optimal decision-making with time-varying evidence reliability.
      Julia
      MIT License
      1000Updated May 12, 2019May 12, 2019
    • These are the codes related to the following publication: Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision-making. Nature Communications, 7:12400, (2016).
      MATLAB
      GNU General Public License v3.0
      8100Updated May 11, 2019May 11, 2019
    • Utilities for working remotely
      Shell
      MIT License
      0300Updated Feb 14, 2019Feb 14, 2019
    • CoSMo2017

      Public
      Data and scripts for the CoSMo 2017 summer school
      MATLAB
      BSD 3-Clause "New" or "Revised" License
      2600Updated Sep 16, 2017Sep 16, 2017
    • FENS2015

      Public
      Code for a tutorial on normative solutions to the speed-accuracy trade-off in perceptual decision making
      MATLAB
      BSD 3-Clause "New" or "Revised" License
      2500Updated Oct 7, 2016Oct 7, 2016