David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Journal of Cognitive Neuroscience 14 (6):818-831 (2002)
& Functional brain imaging offers new opportunities for the begin with single-subject (preprocessed) scan series, and study of that most pervasive of cognitive conditions, human consider the patterns of all voxels as potential multivariate consciousness. Since consciousness is attendant to so much encodings of phenomenal information. Twenty-seven subjects of human cognitive life, its study requires secondary analysis from the four studies were analyzed with multivariate of multiple experimental datasets. Here, four preprocessed methods, revealing analogues of phenomenal structures, datasets from the National fMRI Data Center are considered: particularly the structures of temporality. In a second Hazeltine et al., Neural activation during response competi- interpretive approach, artificial neural networks were used tion; Ishai et al., The representation of objects in the human to detect a more explicit prediction from phenomenology, occipital and temporal cortex; Mechelli et al., The effects of namely, that present experience contains and is inflected by presentation rate during word and pseudoword reading; and past states of awareness and anticipated events. In all of 21 Postle et al., Activity in human frontal cortex associated with subjects in this analysis, nets were successfully trained to spatial working memory and saccadic behavior. The study of extract aspects of relative past and future brain states, in consciousness also draws from multiple disciplines. In this comparison with statistically similar controls. This exploratory article, the philosophical subdiscipline of phenomenology study thus concludes that the proposed methods for provides initial characterization of phenomenal structures ‘‘neurophenomenology’’ warrant further application, includ- conceptually necessary for an analysis of consciousness. These ing the exploration of individual differences, multivariate structures include phenomenal intentionality, phenomenal differences between cognitive task conditions, and explora- superposition, and experienced temporality..
|Keywords||*Brain *Consciousness States *Magnetic Resonance Imaging *Phenomenology Neural Networks|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Colin Klein (2010). Philosophical Issues in Neuroimaging. Philosophy Compass 5 (2):186-198.
Elizabeth Schier (2009). Identifying Phenomenal Consciousness. Consciousness and Cognition 18 (1):216-222.
Dan Lloyd (2012). Neural Correlates of Temporality: Default Mode Variability and Temporal Awareness. Consciousness and Cognition 21 (2):695-703.
Similar books and articles
Dan Lloyd (1999). Consciousness Should Not Mean, but Be. Behavioral and Brain Sciences 22 (1):158-159.
Pete Mandik (2007). The Neurophilosophy of Consciousness. In Max Velmans & Susan Schneider (eds.), The Blackwell Companion to Consciousness. Blackwell. 418--430.
Dan Lloyd (1996). Consciousness, Connectionism, and Cognitive Neuroscience: A Meeting of the Minds. Philosophical Psychology 9 (1):61-78.
D. H. Ffytche (2000). Imaging Conscious Vision. In Thomas Metzinger (ed.), Neural Correlates of Consciousness. MIT Press.
Ansgar Beckermann (1995). Visual Information Processing and Phenomenal Consciousness. In Thomas Metzinger (ed.), Conscious Experience. Ferdinand Schoningh.
E. Roy John (2002). The Neurophysics of Consciousness. Brain Research Reviews 39 (1):1-28.
Wolf Singer (2000). Phenomenal Awareness and Consciousness From a Neurobiological Perspective. In Thomas Metzinger (ed.), Neural Correlates of Consciousness. MIT Press. 121--137.
Owen Holland (ed.) (2003). Machine Consciousness. Imprint Academic.
Added to index2009-01-28
Total downloads50 ( #32,304 of 1,101,088 )
Recent downloads (6 months)2 ( #177,551 of 1,101,088 )
How can I increase my downloads?