Titlebook: Biologically Inspired Approaches to Advanced Information Technology; First International Auke Jan Ijspeert,Masayuki Murata,Naoki Wakamiya

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Object-Oriented Specification of Complex Bio-computing Processes: A Case Study of a Network of Proteive a dynamic model involving events, collaboration, synchronization and sequencing. We thus show that OOD can be used in fields very much beyond software design, gives the benefit of unified and sharable descriptions and, as a side effect, automatic generation of code templates for simulation software.

引起

nocturnal

Learning Bayesian Networks by Lamarckian Genetic Algorithm and Its Application to Yeast Cell-Cycle Gonstruct the regulation network of 27 yeast cell cycle genes from a real microarray dataset. The result obtained is promising: 17 out of the 22 reconstructed regulations are consistent with experimental findings.

Fortify

Hypopnea

A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learningimplementation cost in field programmable gate arrays (FPGAs). Adaptation of synaptic weights is implemented with hebbian learning. As an example application we present a frequency discriminator to verify the computing capabilities of a generic network of our neuron model.

Culmination

uncertain

One and Many in Plato’s Metaphysicsficient for dynamic self-assembly. Examples of protein-network-based computation and self-assembling software are presented. We describe some novel capabilities that are enabled by the inherently dynamic nature of the self-assembling executable code.

graphy

Cubicle

Understanding, Knowing and Justification,echanism for the implementation of bio-inspired features such as development (growth) and self-repair (cicatrization). In particular, we shall describe the architecture and operation of a new kind of programmable logic device capable of realizing, in silicon, a cellular division process.

Presbycusis