Valerii's Projects
Agent based model framework to simulate collective foraging with visual private and social cues
This repository contains the code to replicate and simulate a collective foraging model described in Garg et al.(2022)
List of Computer Science courses with video lectures.
Code, data, and tutorials for "Sense organ control in moths to moles is a gamble on information through motion"
The statically generated website for EuroSciPy 2020, 2022, and 2023
Group Online Behavioral Experiments with FastAPI, React, and MongoDB
FAST iteration of MARL research ideas: A starting point for Multi-Agent Reinforcement Learning
Interface to explore kernel-PCA features transformation
Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2018). Generalization guides human exploration in vast decision spaces. Nature Human Behaviour. 2, 915ā924. https://doi.org/10.1038/s41562-018-0467-4
Code associated with manuscript " Spatial planning with long visual range benefits escape from visual predators in complex naturalistic environments"
Code accompanying the paper "A Deep Learning Method for Comparing Bayesian Hierarchical Models".
Toolbox for segmentation and characterisation of transient connectivity
code for generating infotaxis trajectories
front end machine culture experiment
A suite of test scenarios for multi-agent reinforcement learning.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Seminal agent based models developed using Mesa
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Easy whole-brain modeling for computational neuroscientists š§ š»š©šæāš¬
The project made for Neuromatch Academy 2022
The project made for Neuromatch Academy 2022