All code and intermediate data to reproduce results in our preprint, 'Unifying concepts in information-theoretic time-series analysis'

Use Google Sheets as your application's reporting tool

Really useful google colab script for file transfer

Some useful scripts for Google Apps.

Neuroscience for machine learners course

Python implementation of the constrained deconvolution algorithm

Python-based module for extracting from, converting between, and handling optical imaging data from several file formats. Inspired by SpikeInterface.

Analysis tools and models of mouse behavior in a two-armed bandit task as described in Beron et al., 2022

Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

Analysis tools for neural timeseries data collected during event-based behavior or stimuli

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Simulation code for Hashemi, S., and Shafiee, S., and Tetzlaff, C. (2025)."Robust Input Disentanglement Through Dendritic Calcium-Mediated Action Potentials"

This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semester. For more information, see the course page at

Lean 4 programming language and theorem prover

Affine registration of 3D image stacks

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…

Q-learning for Tic-tac-toe

Variational quantum ground states

Code-base for the simulations of dendritic microcircuit networks in the paper "Learning efficient backprojections across cortical hierarchies in real time".

Official code repository for the publication "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons"

Code for the manuscript 'Hierarchy of prediction errors shapes the learning of context-dependent sensory representations'

Code repository for the paper "A neuronal least-action principle for real-time learning in cortical circuits"