A curated list of awesome Biological Computing (Biocomputing) resources.
-
Updated
Jul 25, 2024
A curated list of awesome Biological Computing (Biocomputing) resources.
Applying k-mean clustering on a dataset using R.
Neuro-Ensemble Distillation (NED) — A cross-domain framework for stabilizing cultured-neuron computing using Cortical Labs platforms (CL1, DishBrain). Includes paper, simulations, and supplementary code (Python/JSON IR).
A Bidirectional LSTM Network and EEG-Response Organoid for simulating neural responses to classical piano music.
Using K Means and R Language, K-Means algorithm applied the elbow method to get the optimal k, which is equal to 7.
Solved Set Covering Problem (SCP) with Max-Min Ant System (MMAS) on benchmark datasets.
Applied Particle Swarm Optimization (PSO) to find global maxima and minima of multivariable functions.
python based DSL for biocomputing
Contains material of IDC306 course at @IISERM.
Web app in Django for the automatic analysis of Watson-Crick finite automatas
Verified a 4-state Deterministic Finite Automata (DFA) using multi McCulloch–Pitt neural networks.
Bio computing assignment
NeuroBridge — Biocomputing analytics dashboard. 9 pages, D3.js visualizations, real-time organoid analysis.
Search for elements and retrieve their results. Built around Sails framework.
NeuroBridge API — 123 endpoints, 55+ analysis modules for brain organoid data. Organoid IQ, STDP, attractors, consciousness metrics, and more.
Projects written in CELLO
A Python package for the simulation of organoids for the purpose of studying Organoid Intelligence (OI) and Organoid Learning (OL).
bio-inspired computing course assignments and projects, Fall-2018
Add a description, image, and links to the biocomputing topic page so that developers can more easily learn about it.
To associate your repository with the biocomputing topic, visit your repo's landing page and select "manage topics."