Large-scale neural dynamics: Simple and complex

Cooperativity in biological systems

Living organisms can sense and respond to external and internal stimuli. Response isdemonstrated in many forms including modulation of gene expression profiles, motility,secretion, cell death, etc. Nevertheless, all forms share a basic property: they depend on sensingsmall changes in the concentration of an effector molecule or subtle conformational changes ina protein and invoking the appropri...

Decentralized Interaction Estimators in Large Scale Power Systems with Neural Networks.

Mapping Complex, Large – Scale Spiking Networks on Neural VLSI

Traditionally, VLSI implementations of spiking neural nets have featured large neuron counts for fixed computations or small exploratory, configurable nets. This paper presents the system architecture of a large configurable neural net system employing a dedicated mapping algorithm for projecting the targeted biology-analog nets and dynamics onto the hardware with its attendant constraints. Key...

System Dynamics and Artificial Neural Network Integration: A Tool to Valuate the Level of Job Satisfaction in Services

Job Satisfaction (JS) plays important role as a competitive advantage in organizations especially in helth industry. Recruitment and retention of human resources are persistent problems associated with this field. Most of the researchs have focused on the job satisfaction factors and few of researches have noticed about its effects on productivity. However, little researchs have focused on the ...

Complex Systems, Information Theory and Neural Networks

In this paper relation between complex systems, information theory and the simplest models of neural networks are elucidated. Two diierent types of complex systems are distinguished, new complexity measure based on the graph theory deened, hierarchy of the correlation matrices introduced and connection with the correlation matrix memories and other types of neural models explained. Complex syst...