Characterizing Consciousness: From Cognition to the Clinic? (Research and Perspectives in Neurosciences)

Characterizing Consciousness: From Cognition to the Clinic? (Research and Perspectives in Neurosciences)

Language: English

Pages: 202

ISBN: 3642180140

Format: PDF / Kindle (mobi) / ePub


Fifteen of the foremost scientists in this field presented testable theoretical models of consciousness and discussed how our understanding of the role that consciousness plays in our cognitive processes is being refined with some surprising results.

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“intentional” architecture fails to capture the unity of experience captured by conscious awareness, and (4) it does not explain the subjective “what it is like to be. . .” aspects of consciousness, including qualia. This is not a complete list, but it is enough to have a stab at. (1) The mysterious step in the “decision to engage” is the mechanism underlying circuit selection. It is poorly understood in the simplest of perceptual decisions. That said, it is a mechanism, and the notion that it.

Raichle ME, Snyder AZ (2007) A default mode of brain function: a brief history of an evolving idea. Neuroimage 37:1083–1090 Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001) A default mode of brain function. Proc Natl Acad Sci USA 98:676–682 Rensink RA (2000) Seeing, sensing, and scrutinizing. Vis Res 40:1469–1488 Roitman JD, Shadlen MN (2002) Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J Neurosci.

Neural responses in primary visual cortex during the attentional blink. J Neurosci 28:9890–9894 Womelsdorf T, Fries P, Mitra PP, Desimone R (2006) Gamma-band synchronization in visual cortex predicts speed of change detection. Nature 439:733–736 Wyart V, Tallon-Baudry C (2008) Neural dissociation between visual awareness and spatial attention. J Neurosci 28:2667–2679 Wyart V, Tallon-Baudry C (2009) How ongoing fluctuations in human visual cortex predict perceptual awareness: baseline shift versus.

Neuronal group (A) with two other groups (B and C) can be predicted by their patterns of precise synchronization (Fig. 1c), as has recently been demonstrated for interactions of triplets of neuronal groups from within and between areas in awake cat and monkey visual cortex (Womelsdorf et al. 2007). This study measured the trial-by-trial changes in correlated amplitude fluctuation and changes in precise synchronization between pair AB and pair AC using the spontaneous variation of neuronal.

1996; Rodriguez et al. 2004), and it argues for a fine-grained influence of synchronization to modulate the effective transmission of information about the stimulus change to postsynaptic target areas concerned with the planning and execution of responses. These behavioral correlates of gamma-band synchronization during selective attention tasks are complemented by a variety of correlational results linking enhanced gamma-band synchronization to efficient task performance in various.

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