By J. Leo van Hemmen, Terrence J. Sejnowski

ISBN-10: 0195148223

ISBN-13: 9780195148220

ISBN-10: 0199726388

ISBN-13: 9780199726387

The complexity of the mind and the protean nature of habit stay the main elusive sector of technology, but additionally an important. 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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Extra info for 23 Problems in Systems Neuroscience (Computational Neuroscience Series)

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K. Chao, A. Nemes, M. Mendelsohn, J. Edmondson, and R. Axel. 1996. Visualizing an olfactory sensory map. Cell 87: 675–686. Motokizawa, F. 1996. Odor representation and discrimination in mitral tufted cells of the rat olfactory bulb. Exp. Brain Res. 112: 24–34. 20 How Have Brains Evolved? , O. Mazor, G. Turner, S. Cassenaer, R. Wilson, and G. Laurent. 2002. Oscillations and sparsening of odor representations in the mushroom body. Science 297: 359–365. Rabinovich, M. , A. Volkovskii, P. Lacanda, R.

A. Ba¨cker, and G. Laurent. 1998. Who reads temporal information contained across synchronized and oscillatory spike trains? Nature 395: 693–698. , and G. Laurent. 1996. Distinct mechanisms for synchronization and temporal patterning of odor-encoding neural assemblies. Science 274: 976–979. , and S. L. Chorover. 1972. Olfactory bulb units, activity correlated with inhalation cycles and odor quality. Science 185: 84–87. , and W. Schneider. 1986. A neural cocktail-party processor. Biol. Cybern.

Volkovskii, and H. D. I. 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.

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


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