TIME, CONSCIOUSNESS, AND MIND UPLOADING

The function of the brain is intricately woven into the fabric of time. Functions such as (i) storing and accessing past memories, (ii) dealing with immediate sensorimotor needs in the present, and (iii) projecting into the future for goal-directed behavior are good examples of how key brain processes are integrated into time. Moreover, it can even seem that the brain generates time (in the psychological sense, not in the physical sense) since, without the brain, a living organism cannot have the notion of past nor future. When combined with an evolutionary perspective, this seemingly straightforward idea that the brain enables the conceptualization of past and future can lead to deeper insights into the principles of brain function, including that of consciousness. In this paper, we systematically investigate, through simulated evolution of artificial neural networks, conditions for the emergence of past and future in simple neural architectures, and discuss the implications of our findings for conscious...

[1]  Yoonsuck Choe,et al.  Predictive internal neural dynamics for delay compensation , 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

[2]  Yves Rossetti,et al.  Abstraction from a sensori-motor perspective: can we get a quick hold on simple perception? , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[3]  Sanjay Chandrasekharan,et al.  The Origin of Epistemic Structures and Proto-Representations , 2007, Adapt. Behav..

[4]  Guy Theraulaz,et al.  A Brief History of Stigmergy , 1999, Artificial Life.

[5]  R. Johansson,et al.  Prediction Precedes Control in Motor Learning , 2003, Current Biology.

[6]  David Mitchell Mindwaves: Thoughts on Intelligence, Identity and Consciousness , 1989 .

[7]  Current Biology , 2012, Current Biology.

[8]  Jeffrey L. Elman,et al.  Distributed Representations, Simple Recurrent Networks, and Grammatical Structure , 1991, Mach. Learn..

[9]  Yoonsuck Choe,et al.  Emergence of Memory-like Behavior in Reactive Agents Using External Markers , 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

[10]  R. Beer Dynamical approaches to cognitive science , 2000, Trends in Cognitive Sciences.

[11]  Yoonsuck Choe,et al.  Evolution of recollection and prediction in neural networks , 2009, 2009 International Joint Conference on Neural Networks.

[12]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[13]  R. Meech,et al.  Central circuitry in the jellyfish Aglantha digitale IV. Pathways coordinating feeding behaviour , 2003, Journal of Experimental Biology.

[14]  Mnh,et al.  Histologie du Système Nerveux de Lʼhomme et des Vertébrés , 1998 .

[15]  Henry Markram,et al.  Coding of temporal information by activity-dependent synapses. , 2002, Journal of neurophysiology.

[16]  Jeffrey L. Krichmar,et al.  The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World , 2008, Adapt. Behav..

[17]  R. L. Gregory The Oxford companion to the mind , 1989 .

[18]  Jean-Louis Deneubourg,et al.  From local actions to global tasks: stigmergy and collective robotics , 2000 .

[19]  Jason D. Warren,et al.  The Oxford Companion to the Mind , 2005 .

[20]  J.B. Theocharis,et al.  Long-term wind speed and power forecasting using local recurrent neural network models , 2006, IEEE Transactions on Energy Conversion.

[21]  Yoonsuck Choe,et al.  Compensating for Neural Transmission Delay Using Extrapolatory Neural Activation in Evolutionary Neural Networks , 2006 .

[22]  Nash Jm,et al.  Mystery of consciousness. , 1999 .

[23]  J. Elman Distributed representations, simple recurrent networks, and grammatical structure , 1991, Machine Learning.

[24]  Colin Blakemore,et al.  Mindwaves: Thoughts on Intelligence, Identity, and Consciousness , 1989 .

[25]  Mitsuo Kawato,et al.  Internal models for motor control and trajectory planning , 1999, Current Opinion in Neurobiology.

[26]  N. Humphrey A History of the Mind , 1992 .

[27]  Yoonsuck Choe,et al.  Facilitating neural dynamics for delay compensation: A road to predictive neural dynamics? , 2009, Neural Networks.

[28]  Les E. Atlas,et al.  Recurrent neural networks and robust time series prediction , 1994, IEEE Trans. Neural Networks.

[29]  Rajesh P. N. Rao,et al.  Predictive Sequence Learning in Recurrent Neocortical Circuits , 1999, NIPS.

[30]  Gustavo Deco,et al.  Predictive Coding in the Visual Cortex by a Recurrent Network with Gabor Receptive Fields , 2001, Neural Processing Letters.

[31]  Alan Carleton,et al.  Sonic hedgehog controls stem cell behavior in the postnatal and adult brain , 2005, Development.

[32]  Robert Kozma,et al.  Basic principles of the KIV model and its application to the navigation problem. , 2003, Journal of integrative neuroscience.

[33]  D. Wolpert,et al.  Internal models in the cerebellum , 1998, Trends in Cognitive Sciences.

[34]  D. Long Networks of the Brain , 2011 .

[35]  Olaf Sporns,et al.  The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..

[36]  Andrew P. McMahon,et al.  Sonic Hedgehog Is Required for Progenitor Cell Maintenance in Telencephalic Stem Cell Niches , 2003, Neuron.

[37]  Yoonsuck Choe,et al.  Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks , 2006, GECCO.

[38]  Yoonsuck Choe,et al.  Emergence of Memory in Reactive Agents Equipped With Environmental Markers , 2011, IEEE Transactions on Autonomous Mental Development.

[39]  Chung-Ming Kuan,et al.  Forecasting exchange rates using feedforward and recurrent neural networks , 1992 .

[40]  Hod Lipson,et al.  Resilient Machines Through Continuous Self-Modeling , 2006, Science.

[41]  Wolfgang Maass,et al.  E?cient Temporal Processing with Biolog-ically Realistic Dynamic Synapses , 2001 .

[42]  Yoonsuck Choe,et al.  Extrapolative Delay Compensation Through Facilitating Synapses and Its Relation to the Flash-Lag Effect , 2008, IEEE Transactions on Neural Networks.

[43]  U. Lendahl,et al.  Central nervous system stem cells in the embryo and adult , 1998, Cellular and Molecular Life Sciences CMLS.

[44]  Horst-Michael Groß,et al.  Generative character of perception: a neural architecture for sensorimotor anticipation , 1999, Neural Networks.

[45]  E. Bonabeau,et al.  Three-dimensional architectures grown by simple 'stigmergic' agents. , 2000, Bio Systems.

[46]  Yoonsuck Choe,et al.  Internal state predictability as an evolutionary precursor of self-awareness and agency , 2008, 2008 7th IEEE International Conference on Development and Learning.

[47]  W. J. Fisher MATTER AND MEMORY. , 1914, Science.

[48]  J. Hildebrand,et al.  Analysis of chemical signals by nervous systems. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[49]  E. Fortune,et al.  Short-term synaptic plasticity as a temporal filter , 2001, Trends in Neurosciences.

[50]  Yoonsuck Choe,et al.  The role of temporal parameters in a thalamocortical model of analogy , 2004, IEEE Transactions on Neural Networks.

[51]  Marco Dorigo,et al.  Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..

[52]  Michael I. Jordan,et al.  An internal model for sensorimotor integration. , 1995, Science.

[53]  Sanjay Chandrasekharan,et al.  Reactive Agents Learn to Add Epistemic Structures to the World , 2004 .

[54]  S. Fender The New York Review of Books , 1986 .

[55]  D. H. Janzen,et al.  Ecology of Foraging by Ants , 1973 .

[56]  L. Shastri Episodic memory and cortico–hippocampal interactions , 2002, Trends in Cognitive Sciences.

[57]  Jeffrey V. Nickerson,et al.  Anticipatory systems: philosophical, mathematical, and methodological foundations , 2012, Int. J. Gen. Syst..

[58]  J. Hawkins,et al.  On Intelligence , 2004 .

[59]  M. Corballis,et al.  The evolution of foresight: What is mental time travel, and is it unique to humans? , 2007, The Behavioral and brain sciences.

[60]  Joachim M. Buhmann,et al.  Sensory segmentation with coupled neural oscillators , 1992, Biological Cybernetics.

[61]  G Vassart,et al.  Specific repertoire of olfactory receptor genes in the male germ cells of several mammalian species. , 1997, Genomics.

[62]  W. Maass,et al.  Efficient temporal processing with biologically realistic dynamic synapses , 2001, Network.

[63]  Brian K. Kooy The Internet Encyclopedia of Philosophy , 2009 .

[64]  G. Theraulaz,et al.  Inspiration for optimization from social insect behaviour , 2000, Nature.

[65]  Daniel Chern-Yeow Eng,et al.  Autonomous Learning of the Semantics of Internal Sensory States Based on Motor Exploration , 2007, Int. J. Humanoid Robotics.

[66]  Luis Mateus Rocha Eigenbehavior and symbols , 1996 .

[67]  L. Swanson Brain Architecture: Understanding the Basic Plan , 2002 .

[68]  Yoonsuck Choe,et al.  Evolution of Time in Neural Networks: From the Present to the Past, and Forward to the Future , 2012 .