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Titolo:
The Neurally Controlled Animat: Biological brains acting with simulated bodies
Autore:
DeMarse, TB; Wagenaar, DA; Blau, AW; Potter, SM;
Indirizzi:
CALTECH, Div Biol 156 29, Pasadena, CA 91125 USA CALTECH Pasadena CA USA 91125 CH, Div Biol 156 29, Pasadena, CA 91125 USA
Titolo Testata:
AUTONOMOUS ROBOTS
fascicolo: 3, volume: 11, anno: 2001,
pagine: 305 - 310
SICI:
0929-5593(200111)11:3<305:TNCABB>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
CORTICAL-NEURONS; NETWORKS;
Keywords:
MEA; multi-electrode arrays; rat cortex; prosthetics; hybrid system; cybernetics;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
20
Recensione:
Indirizzi per estratti:
Indirizzo: DeMarse, TB CALTECH, Div Biol 156 29, Pasadena, CA 91125 USA CALTECH Pasadena CA USA 91125 156 29, Pasadena, CA 91125 USA
Citazione:
T.B. DeMarse et al., "The Neurally Controlled Animat: Biological brains acting with simulated bodies", AUTON ROBOT, 11(3), 2001, pp. 305-310

Abstract

The brain is perhaps the most advanced and robust computation system known. We are creating a method to study how information is processed and encoded in living cultured neuronal networks by interfacing them to a computer-generated animal, the Neurally-Controlled Animat, within a virtual world. Cortical neurons from rats are dissociated and cultured on a surface containing a grid of electrodes (multi-electrode arrays, or MEAs) capable of both recording and stimulating neural activity. Distributed patterns of neural activity are used to control the behavior of the Animat in a simulated environment. The computer acts as its sensory system providing electrical feedbackto the network about the Animat's movement within its environment. Changesin the Animat's behavior due to interaction with its surroundings are studied in concert with the biological processes (e.g., neural plasticity) thatproduced those changes, to understand how information is processed and encoded within a living neural network. Thus, we have created a hybrid real-time processing engine and control system that consists of living, electronic, and simulated components. Eventually this approach may be applied to controlling robotic devices, or lead to better real-time silicon-based information processing and control algorithms that are fault tolerant and can repair themselves.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/05/20 alle ore 18:22:35