Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

A Python package for the simulation of organoids for the purpose of studying Organoid Intelligence (OI) and Organoid Learning (OL).

A closed-loop UDP interface between Cortical Labs' CL1 biocomputer and Unreal Engine: receive living-neuron spikes as gameplay events, send electrical stimulation back as feedback.

A Bidirectional LSTM Network and EEG-Response Organoid for simulating neural responses to classical piano music.

bio-inspired computing course assignments and projects, Fall-2018

Projects written in CELLO

The content of this repository belongs to the Bio-Computing coursework of my Integrated BS-MS in Biology from Indian Institute of Science Education and Research Mohali, India.

Single Python Script to mutate polygons and evaluate their fitness based on a target image.

No-framework browser visualizer for cl-sdk simulator streams, recording replay, and channel-grid/3D previews.

Using K Means and R Language, K-Means algorithm applied the elbow method to get the optimal k, which is equal to 7.

Applied Particle Swarm Optimization (PSO) to find global maxima and minima of multivariable functions.

Verified a 4-state Deterministic Finite Automata (DFA) using multi McCulloch–Pitt neural networks.

A curated list of awesome Biological Computing (Biocomputing) resources.

Replicating a Multi-Functional Synthetic Gene Network

WebCM is a web platform used to develop and run bacterial simulations

NeuroBridge API — 123 endpoints, 55+ analysis modules for brain organoid data. Organoid IQ, STDP, attractors, consciousness metrics, and more.

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).

Biodegradable Digital Logic & Computational Matter. Simulates and models Biological Processing Units (BPUs) using DNA-based storage and organic protein logic circuits to eliminate global electronic waste (E-waste).

Array Coverings using Evolutionary Algorithms