computational methods neural modeling (5 résultats)

Paperback. Etat : Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Except for library markings, interior clean and unmarked. Tight binding.

Hardcover. Etat : Very Good. No Jacket. Hardcover 2003 Part 1, library bound edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Laminated covers and text in very good to near fine condition. Series: Lecture Notes in Computer Science ;2686. [764p].

Etat : New. In.

Kartoniert / Broschiert. Etat : New. Biological Models.- Modeling Neuronal Firing in the Presence of Refractoriness.- A Study of the Action Potential Initiation Site Along the Axosomatodendritic Axis of Neurons Using Compartmental Models.- Real Neurons and Neural Computation: A Summary of Thou.

Taschenbuch. Etat : Neu. Neuware - The global purpose of IWANN conferences has been to provide a broad and - terdisciplinary forum for the interplay between neuroscience and computation. Our dream has been, and still is: (1) nd ways to understand the physiol- ical, symbolic and cognitive nature of the nervous system (NS) with the help of computational and engineering tools; and (2) nd rich and insightful sources of inspiration in biology, to develop new materials, mechanisms and probl- solving methods (PSM) of value in engineering and computation. As all of us knowwell, this dreamstarted with the AncientGreeks, reappearedin the fo- dational stage of neurocybernetics and bionics, and is now broadly accepted in the scienti c community under di erent labels such as computational neu- science(CN) andarti cialneuralnets (ANN), orgenetic algorithmsandhybrid neuro-fuzzy systems. We have also to recognize that there is a considerable lack of credibility associated with CN and ANN among some researchers, both from biology and from the engineering and computation area. Potential causes of this scepticism could be the lack of methodology, formal tools, and real-world applications, in the engineering area, and the lack also of formal tools for cognitive process modeling. There is also the possibility of the computational paradigm being inappropriate to explain cognition, because of the representational character ofanycomputationalmodel. Some moresituated approachesarelookingback to the neurophysiological epistemology of the 1960 s (mind in a body) to searchdirectlyforthemechanismsthatcouldembodythecognitiveprocess,and this means some fresh air for our old dream of connectionism.