Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons.… Plus…
Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons. Organization is a ?uid medium capable of rapid adaptation.The brain carries organizational ?uidity to the extreme.In its context, typical devices are ion channels, transmitters and receptors, signaling pathways, whole individual neurons or speci?c circuit patterns.The border line between what is to be called device and what a feat of organization is ?owing, given that in time organized s- systems solidify into devices.In spite of the neurosciences' traditional concentration on devices, their aiming point on the horizon must be to understand the principles by which the nervous system ties vast arrays of internal and external variables into one coherent purposeful functional whole - to understand the brain's mechanism of organization.For that purpose a crucial methodology is in silico experimentation.Computer simulation is a convenient tool for testing functional ideas, a sharp weapon for d- tinguishing those that work from those that don't.To be sure, many alternatives can only be decided by direct experiment on the substrate, not by modeling.However, if a functional idea can be debunked as ?awed once tried in silico it would be a waste to make it the subject of a decade of experimentation or discussion.The venture of understanding the function and organization of the visual system illustrates this danger.; PDF; Scientific, Technical and Medical > Clinical & internal medicine > Ophthalmology, Springer New York<
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Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons.… Plus…
Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons. Organization is a ?uid medium capable of rapid adaptation.The brain carries organizational ?uidity to the extreme.In its context, typical devices are ion channels, transmitters and receptors, signaling pathways, whole individual neurons or speci?c circuit patterns.The border line between what is to be called device and what a feat of organization is ?owing, given that in time organized s- systems solidify into devices.In spite of the neurosciences' traditional concentration on devices, their aiming point on the horizon must be to understand the principles by which the nervous system ties vast arrays of internal and external variables into one coherent purposeful functional whole - to understand the brain's mechanism of organization.For that purpose a crucial methodology is in silico experimentation.Computer simulation is a convenient tool for testing functional ideas, a sharp weapon for d- tinguishing those that work from those that don't.To be sure, many alternatives can only be decided by direct experiment on the substrate, not by modeling.However, if a functional idea can be debunked as ?awed once tried in silico it would be a waste to make it the subject of a decade of experimentation or discussion.The venture of understanding the function and organization of the visual system illustrates this danger.; PDF; Scientific, Technical and Medical > Clinical & internal medicine > Ophthalmology, Springer US<
hive.co.uk
No. 9780387288062. Frais d'envoiInstock, Despatched same working day before 3pm, zzgl. Versandkosten., Livraison non-comprise Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
Biological structures can be seen as collections of special devices coordinated by a matrix of organization. Devices are dif?cult to evolve and are meticulously conserved through the eons… Plus…
Biological structures can be seen as collections of special devices coordinated by a matrix of organization. Devices are dif?cult to evolve and are meticulously conserved through the eons. Organization is a ?uid medium capable of rapid adaptation. The brain carries organizational ?uidity to the extreme. In its context, typical devices are ion channels, transmitters and receptors, signaling pathways, whole individual neurons or speci?c circuit patterns. The border line between what is to be called device and what a feat of organization is ?owing, given that in time organized s- systems solidify into devices. In spite of the neurosciences’ traditional concentration on devices, their aiming point on the horizon must be to understand the principles by which the nervous system ties vast arrays of internal and external variables into one coherent purposeful functional whole — to understand the brain’s mechanism of organization. For that purpose a crucial methodology is in silico experimentation. Computer simulation is a convenient tool for testing functional ideas, a sharp weapon for d- tinguishing those that work from those that don’t. To be sure, many alternatives can only be decided by direct experiment on the substrate, not by modeling. However, if a functional idea can be debunked as ?awed once tried in silico it would be a waste to make it the subject of a decade of experimentation or discussion. The venture of understanding the function and organization of the visual system illustrates this danger. Books > Life Sciences eBook, Springer Shop<
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Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons.… Plus…
Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons. Organization is a ?uid medium capable of rapid adaptation.The brain carries organizational ?uidity to the extreme.In its context, typical devices are ion channels, transmitters and receptors, signaling pathways, whole individual neurons or speci?c circuit patterns.The border line between what is to be called device and what a feat of organization is ?owing, given that in time organized s- systems solidify into devices.In spite of the neurosciences' traditional concentration on devices, their aiming point on the horizon must be to understand the principles by which the nervous system ties vast arrays of internal and external variables into one coherent purposeful functional whole - to understand the brain's mechanism of organization.For that purpose a crucial methodology is in silico experimentation.Computer simulation is a convenient tool for testing functional ideas, a sharp weapon for d- tinguishing those that work from those that don't.To be sure, many alternatives can only be decided by direct experiment on the substrate, not by modeling.However, if a functional idea can be debunked as ?awed once tried in silico it would be a waste to make it the subject of a decade of experimentation or discussion.The venture of understanding the function and organization of the visual system illustrates this danger.; PDF; Scientific, Technical and Medical > Clinical & internal medicine > Ophthalmology, Springer New York<
No. 9780387288062. Frais d'envoiInstock, Despatched same working day before 3pm, zzgl. Versandkosten., Livraison non-comprise
Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons.… Plus…
Biological structures can be seen as collections of special devices coordinated by a matrix of organization.Devices are dif?cult to evolve and are meticulously conserved through the eons. Organization is a ?uid medium capable of rapid adaptation.The brain carries organizational ?uidity to the extreme.In its context, typical devices are ion channels, transmitters and receptors, signaling pathways, whole individual neurons or speci?c circuit patterns.The border line between what is to be called device and what a feat of organization is ?owing, given that in time organized s- systems solidify into devices.In spite of the neurosciences' traditional concentration on devices, their aiming point on the horizon must be to understand the principles by which the nervous system ties vast arrays of internal and external variables into one coherent purposeful functional whole - to understand the brain's mechanism of organization.For that purpose a crucial methodology is in silico experimentation.Computer simulation is a convenient tool for testing functional ideas, a sharp weapon for d- tinguishing those that work from those that don't.To be sure, many alternatives can only be decided by direct experiment on the substrate, not by modeling.However, if a functional idea can be debunked as ?awed once tried in silico it would be a waste to make it the subject of a decade of experimentation or discussion.The venture of understanding the function and organization of the visual system illustrates this danger.; PDF; Scientific, Technical and Medical > Clinical & internal medicine > Ophthalmology, Springer US<
No. 9780387288062. Frais d'envoiInstock, Despatched same working day before 3pm, zzgl. Versandkosten., Livraison non-comprise
Biological structures can be seen as collections of special devices coordinated by a matrix of organization. Devices are dif?cult to evolve and are meticulously conserved through the eons… Plus…
Biological structures can be seen as collections of special devices coordinated by a matrix of organization. Devices are dif?cult to evolve and are meticulously conserved through the eons. Organization is a ?uid medium capable of rapid adaptation. The brain carries organizational ?uidity to the extreme. In its context, typical devices are ion channels, transmitters and receptors, signaling pathways, whole individual neurons or speci?c circuit patterns. The border line between what is to be called device and what a feat of organization is ?owing, given that in time organized s- systems solidify into devices. In spite of the neurosciences’ traditional concentration on devices, their aiming point on the horizon must be to understand the principles by which the nervous system ties vast arrays of internal and external variables into one coherent purposeful functional whole — to understand the brain’s mechanism of organization. For that purpose a crucial methodology is in silico experimentation. Computer simulation is a convenient tool for testing functional ideas, a sharp weapon for d- tinguishing those that work from those that don’t. To be sure, many alternatives can only be decided by direct experiment on the substrate, not by modeling. However, if a functional idea can be debunked as ?awed once tried in silico it would be a waste to make it the subject of a decade of experimentation or discussion. The venture of understanding the function and organization of the visual system illustrates this danger. Books > Life Sciences eBook, Springer Shop<
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Données bibliographiques du meilleur livre correspondant
Informations détaillées sur le livre - Computational Maps in the Visual Cortex
EAN (ISBN-13): 9780387288062 Date de parution: 2006 Editeur: Springer-Verlag
Livre dans la base de données depuis 2007-08-27T15:35:08+02:00 (Paris) Page de détail modifiée en dernier sur 2024-01-23T22:20:52+01:00 (Paris) ISBN/EAN: 9780387288062
ISBN - Autres types d'écriture: 978-0-387-28806-2 Autres types d'écriture et termes associés: Auteur du livre: bednar, ris, james, joseph, choe Titre du livre: maps, visual
Données de l'éditeur
Auteur: Risto Miikkulainen Titre: Computational Maps in the Visual Cortex Editeur: Springer; Springer US 538 Pages Date de parution: 2006-01-16 New York; NY; US Imprimé / Fabriqué en Langue: Anglais 99,00 € (DE)
EA; E107; eBook; Nonbooks, PBS / Biologie/Zoologie; Neurowissenschaften; Verstehen; behavior; computational neuroscience; cortex; neural mechanisms; neuroscience; B; Neurobiology; Neurosciences; Ophthalmology; Computer Appl. in Life Sciences; Neuroscience; Ophthalmology; Computational and Systems Biology; Biomedical and Life Sciences; Augenheilkunde; DV-gestützte Biologie/Bioinformatik; BB
Biological Background.- Computational Foundations.- LISSOM: A Computational Map Model of V1.- Development of Maps and Connections.- Understanding Plasticity.- Understanding Visual Performance: The Tilt Aftereffect.- HLISSOM: A Hierarchical Model.- Understanding Low-Level Development: Orientation Maps.- Understanding High-Level Development: Face Detection.- PGLISSOM: A Perceptual Grouping Model.- Temporal Coding.- Understanding Perceptual Grouping: Contour Integration.- Computations in Visual Maps.- Scaling LISSOM simulations.- Discussion: Biological Assumptions and Predictions.- Future Work: Computational Directions.- Conclusion.
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