Result: Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback

Title:
Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback
Authors:
PONZI, Adam
Source:
Advances in Neural Networks Research: IJCNN '07Neural networks. 21(2-3):331-340
Publisher Information:
Oxford: Elsevier Science, 2008.
Publication Year:
2008
Physical Description:
print, 1/2 p
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Computer science, Informatique, Neurology, Neurologie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Traitement du signal, Signal processing, Traitement des images, Image processing, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Psychologie. Psychophysiologie, Psychology. Psychophysiology, Perception, Vision, Sciences medicales, Medical sciences, Informatique, statistique et modelisations biomedicales, Computerized, statistical medical data processing and models in biomedicine, Informatique médicale et enseignement, Medical computing and teaching, Psychologie. Psychanalyse. Psychiatrie, Psychology. Psychoanalysis. Psychiatry, Champ gaussien, Gaussian field, Campo gaussiano, Circuit VLSI, VLSI circuit, Circuito VLSI, Cognition, Cognición, Cortex visuel, Visual cortex, Corteza visual, Disparité, Disparity, Disparidad, Dopamine, Dopamina, Laplacien, Laplacian, Laplaciano, Modélisation, Modeling, Modelización, Mémoire de travail, Working memory, Memoria trabajo, Noyau gris central, Basal ganglion, Núcleo basal, Porte logique, Logic gate, Puerta lógica, Renforcement, Reinforcement, Reforzamiento, Réseau porte programmable, Field programmable gate array, Red puerta programable, Rétine, Retina, Rétroaction, Feedback regulation, Retroacción, Saillance du stimulus, Stimulus salience, Saliencia del estímulo, Structure hiérarchisée, Hierarchized structure, Estructura jerarquizada, Système vision, Vision system, Sistema visión, Traitement image, Image processing, Procesamiento imagen, Vision binoculaire, Binocular vision, Visión binocular, Vision ordinateur, Computer vision, Visión ordenador, Analog VLSI, Disparity energy model, FPGA, Multi-chip, Neuromorphic engineering
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Laboratory for Dynamics of Emergent Intelligence, RIKEN Brain Science Institute, Wako, Saitama, Japan
ISSN:
0893-6080
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=20350659
Rights:
Copyright 2008 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Psychology. Ethology

Public health. Hygiene-occupational medicine. Information processing

Telecommunications and information theory

FRANCIS
Accession Number:
edscal.20350659
Database:
PASCAL Archive

Further Information

We designed a VLSI binocular vision system that emulates the disparity computation in the primary visual cortex (V1). The system consists of two silicon retinas, orientation chips, and field programmable gate array (FPGA), mimicking a hierarchical architecture of visual information processing in the disparity energy model. The silicon retinas emulate a Laplacian-Gaussian-like receptive field of the vertebrate retina. The orientation chips generate an orientation-selective receptive field by aggregating multiple pixels of the silicon retina, mimicking the Hubel-Wiesel-type feed-forward model in order to emulate a Gabor-like receptive field of simple cells. The FPGA receives outputs from the orientation chips corresponding to the left and right eyes and calculates the responses of the complex cells based on the disparity energy model. The system can provide the responses of complex cells tuned to five different disparities and a disparity map obtained by comparing these energy outputs. Owing to the combination of spatial filtering by analog parallel circuits and pixel-wise computation by hard-wired digital circuits, the present system can execute the disparity computation in real time using compact hardware.