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Author: Elena Saftenku

Affiliation: A. A. Bogomoletz Institute of Physiology, Ukraine

Keyword(s): Neural Networks, Network Processing, Brain-based Device.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction

Abstract: Humanoid robots are created to imitate some of the tasks that humans undergo, but no current robot can emulate the cognitive capabilities of even the simplest mammals. One approach to developing computing platforms for cognitive robotics is to make use of experimental characterizations of the neurobiological substrate for action and perception systems and simulate brain functions designing real-time spiking neural networks. Biologically detailed network models are a powerful tool to understand how molecular and cellular mechanisms determine high level network processing. Recent advances in experimental and theoretical studies of the dynamic organization of neuronal populations suggest that our further success in creation of higher intelligence robots will depend on the ability to incorporate such basic principles of brain functioning as (i) stochastic dynamics and intrinsic nonlinearities in input-output transformation of neurons, (ii) structural and functional plasticity, (iii) sign aling through neuromodulator networks. (More)

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Paper citation in several formats:
Saftenku, E. (2012). THE THORNY PATH TO AN ARTIFICIAL BRAIN - How to Build a Bridge between Neurophysiology and Network Modeling. In Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - PECCS; ISBN 978-989-8565-00-6; ISSN 2184-2817, SciTePress, pages 170-176. DOI: 10.5220/0003824901700176

@conference{peccs12,
author={Elena Saftenku.},
title={THE THORNY PATH TO AN ARTIFICIAL BRAIN - How to Build a Bridge between Neurophysiology and Network Modeling},
booktitle={Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - PECCS},
year={2012},
pages={170-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003824901700176},
isbn={978-989-8565-00-6},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - PECCS
TI - THE THORNY PATH TO AN ARTIFICIAL BRAIN - How to Build a Bridge between Neurophysiology and Network Modeling
SN - 978-989-8565-00-6
IS - 2184-2817
AU - Saftenku, E.
PY - 2012
SP - 170
EP - 176
DO - 10.5220/0003824901700176
PB - SciTePress