Advances in Cognitive Neurodynamics (V): Proceedings of the by Rubin Wang, Xiaochuan Pan

By Rubin Wang, Xiaochuan Pan

This lawsuits includes articles submitted to the 5th overseas convention on Cognitive Neurodynamics (ICCN2015). In ICCN2015, twelve invited plenary lectures have been provided by means of the major scientists of their respective study fields. greater than 15 mini-symposiums are geared up through experts with subject matters masking: motor keep watch over and studying, dynamic coding in disbursed neural circuits, dynamics of firing styles and synchronization in neuronal platforms, details and sign processing innovations in neurotechnology, neural oscillations and synaptic plasticity within the hippocampus, new standpoint on model-based vs. model-free mind method, neural mechanisms of inner switching, neuroinformation computation, neural version and dynamics, imaging human cognitive networks, neuroinformatics, neuroergonomics & neuroengineering, dynamic mind for conversation, visible details processing and practical imaging and neural mechanisms of language processing. All articles are peer-reviewed. The ICCN is a chain convention held each years considering that 2007.

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We revealed that flies in the ‘paradoxical’ situation resolved the ‘shape/color’ or ‘color/position’ dilemma by taking into account the reliability of the current information during retrieval that wild-type flies could make firm, stable choices on the basis of small differences in the relative salience of competitive cues. We found that the fly’s choice behavior consists of two temporal phases: an early phase that requires the activities of both the dopaminergic system (DA) and mushroom bodies (MBs), and a later phase of executing the decision, which is independent of these activities (Fig.

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Neural Netw. 37, 1–47 (2013) 17. : ARTSCENE: a neural system for natural scene classification. J. Vis. 9(6), 1–19 (2009) 18. : On the road to invariant recognition: explaining tradeoff and morph properties of cells in inferotemporal cortex using multiple-scale task-sensitive attentive learning. Neural Netw. 24, 1036–1049 (2011) 19. : Binocular fusion and invariant category learning due to predictive remapping during scanning of a depth scene with eye movements. Front. Psychol: Percept. Sci. (2014).

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