What are the computational correlates of consciousness

Abstract Cognitive phenomenology refers to the idea that our subjective experiences include deliberative thought processes and high-level cognition. The recent ascendance of cognitive phenomenology in philosophy has important implications for biologically-inspired cognitive architectures and the role that these models can play in understanding the fundamental nature of consciousness. To the extent that cognitive phenomenology occurs, it provides a new route to a deeper understanding of consciousness via neurocomputational studies of cognition. This route involves identifying computational correlates of consciousness in neurocomputational models of high-level cognitive functions that are associated with subjective mental states. Here we develop this idea and compile a summary of potential neurocomputational correlates of consciousness that have been proposed/recognized during the last several years based on biologically-inspired cognitive architectures. We conclude that the identification and study of computational correlates of consciousness will lead to a better understanding of phenomenal consciousness, a framework for creating a conscious machine, and a better understanding of the mind-brain problem in general.

[1]  J. Levine MATERIALISM AND QUALIA: THE EXPLANATORY GAP , 1983 .

[2]  Sung-Bae Cho,et al.  A Neural Global Workspace Model for Conscious Attention , 1997, Neural Networks.

[3]  James A. Reggia,et al.  Simulating single word processing in the classic aphasia syndromes based on the Wernicke–Lichtheim–Geschwind theory , 2006, Brain and Language.

[4]  S. Grossberg The Link between Brain Learning, Attention, and Consciousness , 1999, Consciousness and Cognition.

[5]  Axel Cleeremans,et al.  Consciousness and metarepresentation: A computational sketch , 2007, Neural Networks.

[6]  D. Perlis CONSCIOUSNESS AS SELF-FUNCTION , 1997 .

[7]  Edmund T. Rolls,et al.  Consciousness in Neural Networks? , 1997, Neural Networks.

[8]  B. Baars The conscious access hypothesis: origins and recent evidence , 2002, Trends in Cognitive Sciences.

[9]  B. Baars A cognitive theory of consciousness , 1988 .

[10]  C. Koch,et al.  Attention and consciousness: two distinct brain processes , 2007, Trends in Cognitive Sciences.

[11]  M. Shanahan A spiking neuron model of cortical broadcast and competition , 2008, Consciousness and Cognition.

[12]  Michael C. Mozer,et al.  On the Computational Utility of Consciousness , 1994, NIPS.

[13]  Nabila Charkaoui,et al.  A Computational Model of Minimal Consciousness Functions , 2007 .

[14]  Pentti O. A. Haikonen,et al.  Consciousness and Robot Sentience , 2012, Series on Machine Consciousness.

[15]  Murray Shanahan,et al.  A computational model of a global neuronal workspace with stochastic connections , 2010, Neural Networks.

[16]  Axel Cleeremans,et al.  Know thyself: Metacognitive networks and measures of consciousness , 2010, Cognition.

[17]  G. Tononi Consciousness as Integrated Information: a Provisional Manifesto , 2008, The Biological Bulletin.

[18]  D. Chalmers The Conscious Mind , 1996 .

[19]  Viktor Zárský,et al.  Plant intelligence , 2009, Plant signaling & behavior.

[20]  R. Cotterill CyberChild - A simulation test-bed for consciousness studies , 2003 .

[22]  Auke Jan Ijspeert,et al.  Central pattern generators for locomotion control in animals and robots: A review , 2008, Neural Networks.

[23]  Giorgio A. Ascoli,et al.  Brain and Mind at the Crossroad of Time , 2005, Cortex.

[24]  S Dehaene,et al.  A neuronal model of a global workspace in effortful cognitive tasks. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Riccardo Manzotti,et al.  THE COMPUTATIONAL STANCE IS UNFIT FOR CONSCIOUSNESS , 2012 .

[26]  Christof Koch,et al.  A Theory of Consciousness , 2009 .

[27]  James A. Reggia,et al.  Engineering neural systems for high-level problem solving , 2016, Neural Networks.

[28]  Alex Graves,et al.  Neural Turing Machines , 2014, ArXiv.

[29]  Ricardo Sanz,et al.  CONSCIOUSNESS, ACTION SELECTION, MEANING AND PHENOMENIC ANTICIPATION , 2012 .

[30]  B. Baars,et al.  Brain, conscious experience and the observing self , 2003, Trends in Neurosciences.

[31]  David Gamez,et al.  Information integration based predictions about the conscious states of a spiking neural network , 2010, Consciousness and Cognition.

[32]  V. Lamme Why visual attention and awareness are different , 2003, Trends in Cognitive Sciences.

[33]  Axel Cleeremans Computational correlates of consciousness. , 2005, Progress in brain research.

[34]  Tadashi Kitamura,et al.  How can a robot have consciousness? , 2000, Adv. Robotics.

[35]  A. Raffone,et al.  A global workspace model for phenomenal and access consciousness , 2010, Consciousness and Cognition.

[36]  Salvatore Gaglio,et al.  SYNTHETIC PHENOMENOLOGY AND HIGH-DIMENSIONAL BUFFER HYPOTHESIS , 2012 .

[37]  John G. Taylor,et al.  CODAM: A neural network model of consciousness , 2007, Neural Networks.

[38]  James A. Reggia,et al.  Emergent latent symbol systems in recurrent neural networks , 2012, Connect. Sci..

[39]  Benjamin Kuipers,et al.  Drinking from the firehose of experience , 2008, Artif. Intell. Medicine.

[40]  Anil K Seth,et al.  Theories and measures of consciousness: an extended framework. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[41]  Taylor W. Webb,et al.  A Mechanistic Theory of Consciousness , 2014 .

[42]  Lee McCauley,et al.  Demonstrating the Benefit of Computational Consciousness , 2007, AAAI Fall Symposium: AI and Consciousness.

[43]  D. Chalmers What is a Neural Correlate of Consciousness , 2000 .

[44]  G. Tononi An information integration theory of consciousness , 2004, BMC Neuroscience.

[45]  A. Seth THE STRENGTH OF WEAK ARTIFICIAL CONSCIOUSNESS , 2009 .

[46]  Michael Marder,et al.  Plant intentionality and the phenomenological framework of plant intelligence , 2012, Plant signaling & behavior.

[47]  S. Dehaene,et al.  Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework , 2001, Cognition.

[48]  Walter Schneider,et al.  Controlled & automatic processing: behavior, theory, and biological mechanisms , 2003, Cogn. Sci..

[49]  Ron Sun,et al.  Accounting for the Computational Basis of Consciousness: A Connectionist Approach , 1999, Consciousness and Cognition.

[50]  Edmund T. Rolls,et al.  2007 Special Issue: A computational neuroscience approach to consciousness , 2007 .

[51]  Georges Rey,et al.  A Reason for Doubting the Existence of Consciousness , 1983 .

[52]  Geraint Rees,et al.  The Neural Correlates of Consciousness , 2003 .

[53]  James A. Reggia,et al.  The Computational Explanatory Gap , 2014 .

[54]  John G. Taylor,et al.  Neural networks for consciousness , 1997, Neural Networks.

[55]  Mark Bishop,et al.  Why Computers Can’t Feel Pain , 2009, Minds and Machines.

[56]  Steven Laureys,et al.  Large-scale signatures of unconsciousness are consistent with a departure from critical dynamics , 2015, Journal of The Royal Society Interface.

[57]  R. F. Goldberg,et al.  The Folk Psychology of Consciousness , 2011 .

[58]  S. Edelman,et al.  Towards a computational theory of experience , 2011, Consciousness and Cognition.

[59]  F. Velde,et al.  Neural blackboard architectures of combinatorial structures in cognition , 2006 .

[60]  James A. Reggia,et al.  Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network , 2011, AGI.

[61]  J A Reggia,et al.  Controlling working memory with learned instructions. , 2013, Neural networks : the official journal of the International Neural Network Society.

[62]  C. Koch,et al.  Towards a neurobiological theory of consciousness , 1990 .

[63]  James A. Reggia,et al.  The rise of machine consciousness: Studying consciousness with computational models , 2013, Neural Networks.

[64]  Tim Bayne,et al.  Cognitive phenomenology:: An introduction , 2011 .

[65]  G. Tononi,et al.  Breakdown of Cortical Effective Connectivity During Sleep , 2005, Science.

[66]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[67]  Aaron Sloman,et al.  Virtual Machines and Consciousness , 2003 .

[68]  David S Domozych,et al.  The Charophycean green algae as model systems to study plant cell walls and other evolutionary adaptations that gave rise to land plants , 2012, Plant signaling & behavior.

[69]  N. Block On a confusion about a function of consciousness , 1995, Behavioral and Brain Sciences.

[70]  Richard H. Schlagel Why not Artificial Consciousness or Thought? , 1999, Minds and Machines.

[71]  Benjamin Kuipers,et al.  Consciousness: Drinking from the Firehose of Experience , 2005, AAAI.

[72]  G. Gallup Chimpanzees: Self-Recognition , 1970, Science.

[73]  J. Takeno A Robot Succeeds in 100% Mirror Image Cognition , 2008 .

[74]  D. McDermott The Cambridge Handbook of Consciousness: Artificial Intelligence and Consciousness , 2007 .

[75]  James A. Reggia,et al.  Symbolic Representation of Recurrent Neural Network Dynamics , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[76]  Alexei V. Samsonovich,et al.  Fundamental Principles and Mechanisms of the Conscious Self , 2005, Cortex.

[77]  H. Appel,et al.  Plants respond to leaf vibrations caused by insect herbivore chewing , 2014, Oecologia.

[78]  Giulio Tononi,et al.  Integrated information theory , 2015, Scholarpedia.

[79]  Ron Sun,et al.  Duality of the Mind , 2002 .

[80]  Anne Treisman,et al.  Attention: Theoretical and psychological perspectives. , 2009 .