Conscious Processing and the Global Neuronal Workspace Hypothesis.
George A. Mashour,Pieter R. Roelfsema,Pieter R. Roelfsema,Jean-Pierre Changeux,Jean-Pierre Changeux,Jean-Pierre Changeux,Stanislas Dehaene,Stanislas Dehaene +7 more
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TLDR
The GNW hypothesis proposes that, in the conscious state, a non-linear network ignition associated with recurrent processing amplifies and sustains a neural representation, allowing the corresponding information to be globally accessed by local processors.About:
This article is published in Neuron.The article was published on 2020-03-04 and is currently open access. It has received 426 citations till now. The article focuses on the topics: Dehaene–Changeux model.read more
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The Human Brain
TL;DR: It is well worth while to make the attempt to correlate the facts and conclusions of these two disciplines into one coherent body of doctrine, if for no other reason than to direct attention to new problems that call for solution.
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Cellular Mechanisms of Conscious Processing.
TL;DR: It is suggested that the hallmark of conscious processing is the flexible integration of bottom-up and top-down data streams at the cellular level, which provides the foundation for Dendritic Information Theory, a novel neurobiological theory of consciousness.
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Neural signs and mechanisms of consciousness: Is there a potential convergence of theories of consciousness in sight?
TL;DR: It is demonstrated that different theories focus on neural signs and measures of distinct aspects of neural activity including stimulus-related, prestimulus, and resting state activity as well as on distinct features of consciousness which may be integrated and nested within the brain's overall temporo-spatial dynamics.
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Theories of consciousness
TL;DR: In this article , the authors review four prominent theoretical approaches to consciousness: higher-order theories, global workspace theories, re-entry and predictive processing theories and integrated information theory, and identify the key characteristics of each approach by identifying which aspects of consciousness they propose to explain, what their neurobiological commitments are and what empirical data are adduced in their support.
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A neural correlate of sensory consciousness in a corvid bird
TL;DR: It is shown that single-neuron responses in the pallial endbrain of crows performing a visual detection task correlate with the birds’ perception about stimulus presence or absence and argued that this is an empirical marker of avian consciousness.
References
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Journal ArticleDOI
Deep learning
TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
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Deep Learning
TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Journal ArticleDOI
A feature-integration theory of attention
Anne Treisman,Garry A. Gelade +1 more
TL;DR: A new hypothesis about the role of focused attention is proposed, which offers a new set of criteria for distinguishing separable from integral features and a new rationale for predicting which tasks will show attention limits and which will not.
Journal ArticleDOI
The magical number 4 in short-term memory: a reconsideration of mental storage capacity.
TL;DR: A wide variety of data on capacity limits suggesting that the smaller capacity limit in short-term memory tasks is real is brought together and a capacity limit for the focus of attention is proposed.
Journal ArticleDOI
Dynamic mapping of human cortical development during childhood through early adulthood
Nitin Gogtay,Jay N. Giedd,Leslie Lusk,Kiralee M. Hayashi,Deanna Greenstein,A. Catherine Vaituzis,Tom F. Nugent,David H. Herman,Liv S. Clasen,Arthur W. Toga,Judith L. Rapoport,Paul M. Thompson +11 more
TL;DR: The dynamic anatomical sequence of human cortical gray matter development between the age of 4-21 years using quantitative four-dimensional maps and time-lapse sequences reveals that higher-order association cortices mature only after lower-order somatosensory and visual cortices are developed.