cacaomacao

EPDE

EPDE - partial differential equations discovery framework

Analyze-Avalanche-vZ2.3

Introductory Code For Doing Simple Avalanche Analysis (Criticality In The Brain) Mainly Through Power Law Analysis In Log-Log Space and Temporal Coarse Graining (K)

preprint_logic_and_learning_in_network_cascades

This is a preprint of our submitted work on logic and learning in network cascades. It discusses basic biologically-motivated modifications, and implications regarding logic, criticality, spatial constraints, types of error, and information encoding.

evolution_dynamical_regime

Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184

Probab-Greenberg-Hastings

Implementation of a Probabilistic Greenberg-Hastings model for neuroscience and statistical physics

SOCmodel

Implementation of a minimal neural network model for the study of self-organized criticality

2PhotonProcessor

Code for Important Processing Steps For .Tiff or .Raw Video Files Acquired From 2-Photon Imaging System + Completely Automated and With NWB Schema (.HDF5) Capability

CriticalForagingOrgs

A community of Ising-embodied organisms forage for food while learning to be critical

CriticalEvolution

Various studies show that criticality is an attractor in biological evolution. Which conditions have to be fulfilled, such that criticality acts as an attractor in our neuroevolution simulation? -- Masters Thesis Project ---

hackeeg-shield

HackEEG TI ADS1299 Arduino shield hardware design files and tools

awesome-bioinformatics-education

resources for bioinformatics education

nlp_course

YSDA course in Natural Language Processing

training-collection

Collection of bioinformatics training materials

EEGwithRaspberryPI

Open-Source board for converting RaspberryPI to Brain-computer interface

Numerical-Recipes

All header files from numerical recipes. 3rd Edition.

2022_neurotech_course

reverse_engineering

Reverse engineering neural networks

DECIMER-Image-to-SMILES

The repository contains the network and the related scripts for encoder-decoder based Chemical Image Recognition

rdkit

The official sources for the RDKit library

chemprop

Message Passing Neural Networks for Molecule Property Prediction

stk

A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Awesome-GNN-based-drug-discovery

This is a curated list of research papers, resources and tools related to using Graph Neural Networks (GNNs) for drug discovery.

CNMF_E

Constrained Nonnegative Matrix Factorization for microEndoscopic data

inscopix-cnmfe

Algorithm for automated source extraction from 1P data

Data-Analysis-with-Python

ml-course-hse

Машинное обучение на ФКН ВШЭ

BAMT

Repository of a data modeling and analysis tool based on Bayesian networks

ChemGCN

ChemGCN is a graph convolutional network to predict water solubilities of small molecules.

agentpy

AgentPy is an open-source framework for the development and analysis of agent-based models in Python.