calcium_signalling_inspired_computing
This repository contains a collection of computational models inspired by calcium signaling dynamics in biological systems. These models demonstrate how principles from cellular calcium dynamics can inform novel computing paradigms with unique capabilities beyond traditional computing approaches.
Overview
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Documentation
CalciumComputing
Novel Computational Architectures Inspired by Calcium Signaling
This repository contains a collection of computational models inspired by calcium signaling dynamics in biological systems. These models demonstrate how principles from cellular calcium dynamics can inform novel computing paradigms with unique capabilities beyond traditional computing approaches.
Overview
Calcium signaling represents one of the most versatile and widespread signaling systems in biology. The spatial and temporal organization of calcium dynamics enables cells to encode complex information processing tasks. This project explores how these principles can be adapted into computational frameworks with applications in machine learning, signal processing, fault-tolerant computing, and more.
Models
1. Probabilistic Computing Based on Calcium Puff Dynamics
This model demonstrates how the probability of signal activation can scale linearly with the number of processing elements, similar to how calcium puff probability scales with IP3R receptor cluster size.
Key Features: - Stochastic computing with predictable probabilities - Linear relationship between element density and activation probability - Implementation of probabilistic logic operations
2. Spatiotemporal Computing Inspired by Calcium Wave Propagation
This model implements a reaction-diffusion system where information is encoded in wave patterns and processing occurs through their spatiotemporal evolution.
Key Features: - Multiple channels with different diffusion constraints - Pattern recognition through spatiotemporal dynamics - Information encoding in spatial configurations
3. Analog Computing with Calcium-Like Thresholds
This model creates threshold logic units with calcium-like activation properties, demonstrating how com
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