Developing Intuition: Neural Correlates of Cognitive-Skill Learning in Caudate Nucleus

The superior capability of cognitive experts largely depends on automatic, quick information processing, which is often referred to as intuition. Intuition develops following extensive long-term training. There are many cognitive models on intuition development, but its neural basis is not known. Here we trained novices for 15 weeks to learn a simple board game and measured their brain activities in early and end phases of the training while they quickly generated the best next-move to a given board pattern. We found that the activation in the head of caudate nucleus developed over the course of training, in parallel to the development of the capability to quickly generate the best next-move, and the magnitude of the caudate activity was correlated with the subject's performance. In contrast, cortical activations, which already appeared in the early phase of training, did not further change. Thus, neural activation in the caudate head, but not those in cortical areas, tracked the development of capability to quickly generate the best next-move, indicating that circuitries including the caudate head may automate cognitive computations.

[1]  W. Schultz Multiple reward signals in the brain , 2000, Nature Reviews Neuroscience.

[2]  Fernand Gobet,et al.  Expertise and Intuition: A Tale of Three Theories , 2009, Minds and Machines.

[3]  John R. Anderson Acquisition of cognitive skill. , 1982 .

[4]  K. VanLehn,et al.  Cognitive skill acquisition. , 1996, Annual review of psychology.

[5]  T. Klingberg,et al.  Increased prefrontal and parietal activity after training of working memory , 2004, Nature Neuroscience.

[6]  Matthew D. Lieberman,et al.  Intuition: a social cognitive neuroscience approach. , 2000, Psychological bulletin.

[7]  Adrianus Dingeman de Groot Intuition in Chess , 1986, J. Int. Comput. Games Assoc..

[8]  M. Delgado,et al.  Reward‐Related Responses in the Human Striatum , 2007, Annals of the New York Academy of Sciences.

[9]  Joel L. Davis,et al.  A Model of How the Basal Ganglia Generate and Use Neural Signals That Predict Reinforcement , 1994 .

[10]  Stephen M. Smith,et al.  A Bayesian model of shape and appearance for subcortical brain segmentation , 2011, NeuroImage.

[11]  K. Doya,et al.  Representation of Action-Specific Reward Values in the Striatum , 2005, Science.

[12]  J. Patton,et al.  Factor structure of the Barratt impulsiveness scale. , 1995, Journal of clinical psychology.

[13]  F. Tong,et al.  Training Improves Multitasking Performance by Increasing the Speed of Information Processing in Human Prefrontal Cortex , 2009, Neuron.

[14]  D. Pandya,et al.  Corticostriatal connections of extrastriate visual areas in rhesus monkeys. , 1995, The Journal of comparative neurology.

[15]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[16]  Bogdan Draganski,et al.  Neuroplasticity: Changes in grey matter induced by training , 2004, Nature.

[17]  Richard S. J. Frackowiak,et al.  Navigation-related structural change in the hippocampi of taxi drivers. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Paige E. Scalf,et al.  Training-induced functional activation changes in dual-task processing: an FMRI study. , 2006, Cerebral cortex.

[19]  R. Poldrack,et al.  Characterizing the neural mechanisms of skill learning and repetition priming: evidence from mirror reading. , 2001, Brain : a journal of neurology.

[20]  D. Pandya,et al.  Striatal connections of the parietal association cortices in rhesus monkeys , 1993, The Journal of comparative neurology.

[21]  R. Poldrack Imaging Brain Plasticity: Conceptual and Methodological Issues— A Theoretical Review , 2000, NeuroImage.

[22]  A. Graybiel The Basal Ganglia and Chunking of Action Repertoires , 1998, Neurobiology of Learning and Memory.

[23]  P. Dayan,et al.  A framework for mesencephalic dopamine systems based on predictive Hebbian learning , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[24]  F H Epstein,et al.  Adaptive sensitivity encoding incorporating temporal filtering (TSENSE) † , 2001, Magnetic resonance in medicine.

[25]  H. Simon,et al.  Skill in Chess , 1988 .

[26]  S. Haber,et al.  Reward-Related Cortical Inputs Define a Large Striatal Region in Primates That Interface with Associative Cortical Connections, Providing a Substrate for Incentive-Based Learning , 2006, The Journal of Neuroscience.

[27]  T. Sejnowski,et al.  A Computational Model of How the Basal Ganglia Produce Sequences , 1998, Journal of Cognitive Neuroscience.

[28]  D. G. Watts,et al.  Spectral analysis and its applications , 1968 .

[29]  G. E. Alexander,et al.  Parallel organization of functionally segregated circuits linking basal ganglia and cortex. , 1986, Annual review of neuroscience.

[30]  Steen Moeller,et al.  T 1 weighted brain images at 7 Tesla unbiased for Proton Density, T 2 ⁎ contrast and RF coil receive B 1 sensitivity with simultaneous vessel visualization , 2009, NeuroImage.

[31]  Keiji Tanaka,et al.  The Neural Basis of Intuitive Best Next-Move Generation in Board Game Experts , 2011, Science.

[32]  M. Torrens Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268 , 1990 .

[33]  Lars Bäckman,et al.  Transfer of Learning After Updating Training Mediated by the Striatum , 2008, Science.

[34]  Peter Dayan,et al.  A Neural Substrate of Prediction and Reward , 1997, Science.

[35]  D. Simons,et al.  Striatal volume predicts level of video game skill acquisition. , 2010, Cerebral cortex.

[36]  A. Kelly,et al.  Human functional neuroimaging of brain changes associated with practice. , 2005, Cerebral cortex.

[37]  P. Goldman-Rakic,et al.  Longitudinal topography and interdigitation of corticostriatal projections in the rhesus monkey , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[38]  K. A. Ericsson,et al.  Expert and exceptional performance: evidence of maximal adaptation to task constraints. , 1996, Annual review of psychology.