Download 23 Problems in Systems Neuroscience (Computational by J. Leo van Hemmen, Terrence J. Sejnowski PDF

By J. Leo van Hemmen, Terrence J. Sejnowski

The complexity of the mind and the protean nature of habit stay the main elusive sector of technological know-how, but additionally crucial. van Hemmen and Sejnowski invited 23 specialists from the numerous areas--from evolution to qualia--of structures neuroscience to formulate one challenge each one. even supposing every one bankruptcy was once written independently and will be learn individually, jointly they supply an invaluable roadmap to the sector of structures neuroscience and should function a resource of inspirations for destiny explorers of the mind.

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Abarbanel. 2001. Odor encoding as an active, dynamical process: Experiments, computation and theory. Annu. Rev. Neurosci. 24: 263–297. , M. Wehr, and H. Davidowitz. 1996. Temporal representations of odors in an olfactory network. J. Neurosci. 16: 3837–3847. , and B. H. Smith. 1999. Generalization between binary odor mixtures and their components in the rat. Physiol. Behavior 66: 701–707. , and D. G. Laing. 1996. Influence of training and experience on the perception of multicomponent odor mixtures.

Temporal decorrelation—a theory of lagged and nonlagged responses in the lateral geniculate-nucleus. Network-Comp. Neural 6: 159–178. , and A. Duchamp. 1997. Odor processing in the frog olfactory system. Prog. Neurobiol. 53: 561–602. Engel, A. , P. Fries, and W. Singer. 2001. Dynamic predictions, oscillations and synchrony in top-down processing. Nature Reviews Neurosci. 2: 704–716. Freeman, W. J. 2000. Neurodynamics: An Exploration in Mesoscopic Brain Dynamics. London, Springer-Verlag. , and G.

Our thinking about sensory integration seems much too linear and passive: stimulus a ? response in area x ? response in area y, and so on; in reality, neural circuits are often massively interconnected and reciprocally connected; similarly, our thinking generally ignores the fact that, except for motoneurons, a given neuron never is an end point or its ‘‘response’’ an end product. , decorrelation in OB circuits) or in ‘‘target’’ circuits. , considering ‘‘responses’’ not only as products, but also as ongoing transformations toward some other goal) might be helpful to understand some brain operations.

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