Dynamic Coordination in the Brain: From Neurons to Mind by Christoph von der Malsburg, William A. Phillips, Wolf Singer

By Christoph von der Malsburg, William A. Phillips, Wolf Singer

A basic shift is happening in neuroscience and comparable disciplines. some time past, researchers excited about practical specialization of the mind, researching advanced processing techniques according to convergence and divergence in slowly adapting anatomical architectures. but for the mind to deal with ever-changing and unpredictable conditions, it wishes concepts with richer interactive temporary dynamics. contemporary study has published ways that the mind successfully coordinates greatly allotted and really good actions to fulfill the desires of the instant. This booklet explores those findings, analyzing the services, mechanisms, and manifestations of allotted dynamical coordination within the mind and brain throughout diverse species and degrees of association. The booklet identifies 3 easy services of dynamic coordination: contextual disambiguation, dynamic grouping, and dynamic routing. It considers the function of dynamic coordination in temporally based task and explores those concerns at assorted degrees, from synaptic and native circuit mechanisms to macroscopic process dynamics, emphasizing their value for cognition, habit, and psychopathology.ContributorsEvan Balaban, Gy?rgy Buzs?ki, Nicola S. Clayton, Maurizio Corbetta, Robert Desimone, Kamran Diba, Shimon Edelman, Andreas ok. Engel, Yves Fregnac, Pascal Fries, Karl Friston, Ann Graybiel, Sten Grillner, Uri Grodzinski, John-Dylan Haynes, Laurent Itti, Erich D. Jarvis, Jon H. Kaas, J. A. Scott Kelso, Peter K?nig, Nancy J. Kopell, Ilona Kov?cs, Andreas Kreiter, Anders Lansner, Gilles Laurent, J?rg L?cke, Mikael Lundqvist, Angus MacDonald, Kevan Martin, Mayank Mehta, Lucia Melloni, Earl okay. Miller, Bita Moghaddam, Hannah Monyer, Edvard I. Moser, May-Britt Moser, Danko Nikolic, William A. Phillips, Gordon Pipa, Constantin Rothkopf, Terrence J. Sejnowski, Steven M. Silverstein, Wolf Singer, Catherine Tallon-Baudry, Roger D. Traub, Jochen Triesch, Peter Uhlhaas, Christoph von der Malsburg, Thomas Weisswange, Miles Whittington, Matthew Wilson

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3) (Elston 2003; Elston et al. 1999). In contrast, the layer 3 pyramidal cells in tree shrews had larger arbors in V1, while V2 and temporal visual cortex had neurons with progressively smaller arbors. Other features of dendrites are also variable (Elston et al. 2005). For example, the pyramidal cells in V1 of tree shrews had twice the number of dendritic spines as those of primates. In addition, Elston et al. (1999) reported that peak spine density, reÀecting synaptic contacts, was over three times higher for layer 3 pyramidal cells in higher-order visual area TE than in primary visual cortex of macaque monkeys.

Furthermore, it is possible that the decoding of PS by downstream neurons or networks involves no sequence decoding per se. This does not mean that PS, as a dynamical pattern, is not relevant. It may, however, reveal that its value is only implicit in the code. Analogy If you have learned a racquet sport such as tennis at one point in your life, you will have learned the value of the “follow-through”—the seemingly stylistic exercise of keeping the racquet in motion toward some imaginary position after the racquet has hit the ball.

For example, the monoclonal antibody Cat-301, which reacts with neurons associated with the magnocellular visual processing stream of primates, reveals different laminar patterns of antigen expression in primary visual cortex of cats, monkeys, and tree shrews (Jain et al. 1994). Layers across cortical areas vary in such features as the expression of synaptic zinc, cytochrome oxidase, parvalbumin, calbindin, vesicular glutamate transporters, and neuro¿lament markers. While layers in homologous cortical areas across species often have similar relative levels of expression of these markers, there is considerable variability (Hof et al.

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