Neuronal information processing: from biological data to modelling and applications
Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corres...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c1999
|
| Schriftenreihe: | Series in mathematical biology and medicine
vol. 7 |
| Schlagworte: | |
| Online-Zugang: | FHN01 URL des Erstveroeffentlichers |
| Zusammenfassung: | Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corresponding to a quasi-periodic spike-giving, synchronized over several visual cortical areas, have been observed in anaesthesized cats and monkeys. Recent studies have also focused on the role played by the dendritic arborization.These developments have led to considerable interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points of view. This prompts us to look into new models for information processing which will proceed, for example, from a synchronous detection of correlated spike giving, and is particularly robust against noise. Such models could bring about original technical applications for information processing and control.Further developments in this field may be of major importance for our understanding of the basic mechanisms of perception and cognition. They could also lead to new concepts in applications directed towards artificial perception and pattern recognition. Up to now, artificial systems for pattern recognition are far from reaching the standards of human vision. Systems based on a temporal coding by spikes may now be expected to bring about major improvements in this field.This book covers the lectures delivered at a summer school on neuronal information processing. It includes information on all the above-mentioned developments, and also provides the reader with the state-of-the-art in every relevant field, including the neurosciences, physics, mathematics, and information and control theory |
| Beschreibung: | Paralleltitel: Traitement neuronal de l'information des données biologiques à la modélisation et aux applications |
| Beschreibung: | xx, 198 p. ill |
| ISBN: | 9789812818041 |
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| 520 | |a Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corresponding to a quasi-periodic spike-giving, synchronized over several visual cortical areas, have been observed in anaesthesized cats and monkeys. Recent studies have also focused on the role played by the dendritic arborization.These developments have led to considerable interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points of view. This prompts us to look into new models for information processing which will proceed, for example, from a synchronous detection of correlated spike giving, and is particularly robust against noise. Such models could bring about original technical applications for information processing and control.Further developments in this field may be of major importance for our understanding of the basic mechanisms of perception and cognition. They could also lead to new concepts in applications directed towards artificial perception and pattern recognition. Up to now, artificial systems for pattern recognition are far from reaching the standards of human vision. Systems based on a temporal coding by spikes may now be expected to bring about major improvements in this field.This book covers the lectures delivered at a summer school on neuronal information processing. It includes information on all the above-mentioned developments, and also provides the reader with the state-of-the-art in every relevant field, including the neurosciences, physics, mathematics, and information and control theory | ||
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| id | DE-604.BV044636663 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:49Z |
| institution | BVB |
| isbn | 9789812818041 |
| language | English |
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| physical | xx, 198 p. ill |
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| publishDate | 1999 |
| publishDateSearch | 1999 |
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| series2 | Series in mathematical biology and medicine |
| spelling | Neuronal information processing from biological data to modelling and applications editors, G. Burdet, P. Combe, O. Parodi Traitement neuronal de l'information des données biologiques à la modélisation et aux applications Singapore World Scientific Pub. Co. c1999 xx, 198 p. ill txt rdacontent c rdamedia cr rdacarrier Series in mathematical biology and medicine vol. 7 Paralleltitel: Traitement neuronal de l'information des données biologiques à la modélisation et aux applications Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corresponding to a quasi-periodic spike-giving, synchronized over several visual cortical areas, have been observed in anaesthesized cats and monkeys. Recent studies have also focused on the role played by the dendritic arborization.These developments have led to considerable interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points of view. This prompts us to look into new models for information processing which will proceed, for example, from a synchronous detection of correlated spike giving, and is particularly robust against noise. Such models could bring about original technical applications for information processing and control.Further developments in this field may be of major importance for our understanding of the basic mechanisms of perception and cognition. They could also lead to new concepts in applications directed towards artificial perception and pattern recognition. Up to now, artificial systems for pattern recognition are far from reaching the standards of human vision. Systems based on a temporal coding by spikes may now be expected to bring about major improvements in this field.This book covers the lectures delivered at a summer school on neuronal information processing. It includes information on all the above-mentioned developments, and also provides the reader with the state-of-the-art in every relevant field, including the neurosciences, physics, mathematics, and information and control theory Neural transmission / Congresses Neural circuitry / Congresses Neurons / Congresses Neural transmission / Mathematical models / Congresses Burdet, G. Sonstige oth Combe, Philippe 1940- Sonstige oth Parodi, O. Sonstige oth Institut d'études scientifiques de Cargèse Sonstige oth Erscheint auch als Druck-Ausgabe 9789810238261 Erscheint auch als Druck-Ausgabe 9810238266 http://www.worldscientific.com/worldscibooks/10.1142/4060#t=toc Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Neuronal information processing from biological data to modelling and applications Neural transmission / Congresses Neural circuitry / Congresses Neurons / Congresses Neural transmission / Mathematical models / Congresses |
| title | Neuronal information processing from biological data to modelling and applications |
| title_alt | Traitement neuronal de l'information des données biologiques à la modélisation et aux applications |
| title_auth | Neuronal information processing from biological data to modelling and applications |
| title_exact_search | Neuronal information processing from biological data to modelling and applications |
| title_full | Neuronal information processing from biological data to modelling and applications editors, G. Burdet, P. Combe, O. Parodi |
| title_fullStr | Neuronal information processing from biological data to modelling and applications editors, G. Burdet, P. Combe, O. Parodi |
| title_full_unstemmed | Neuronal information processing from biological data to modelling and applications editors, G. Burdet, P. Combe, O. Parodi |
| title_short | Neuronal information processing |
| title_sort | neuronal information processing from biological data to modelling and applications |
| title_sub | from biological data to modelling and applications |
| topic | Neural transmission / Congresses Neural circuitry / Congresses Neurons / Congresses Neural transmission / Mathematical models / Congresses |
| topic_facet | Neural transmission / Congresses Neural circuitry / Congresses Neurons / Congresses Neural transmission / Mathematical models / Congresses |
| url | http://www.worldscientific.com/worldscibooks/10.1142/4060#t=toc |
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