A neurocomputational model of automaticity and maintenance of abstract rules

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 1192-1198

  Helie, Sebastien ^a   Ashby, F Gregory ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN AREAS; CELL RECORDING; CHANGING ENVIRONMENT; HEBBIAN LEARNING; NEURAL PATHWAY; NEUROCOMPUTATIONAL MODELS; PREFRONTAL CORTEX; VOLTAGE CHANGE;

BRAIN; DIFFERENCE EQUATIONS; NEURAL NETWORKS;

SIMULATORS;

EID: 70449440350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178593     Document Type: Conference Paper

References (18)

1. S. A. Bunge, and M. J. Souza, "Neural representations used to specify action, " in Neuroscience of Rule-Guided Behavior, S. A. Bunge, and J. D. Wallis, Eds. New York: Oxford University Press, 2007, pp. 45- 65.
2. E. K. Miller, and J. D. Cohen, "An integrative theory of prefrontal cortex function, " Annual Review of Neuroscience, vol. 24, pp. 167- 202, 2001.
3. D. J. Freedman, "Exploring the roles of the frontal, temporal, and pariet al. lobes in visual categorization, " in Neuroscience of Rule- Guided Behavior, S. A. Bunge, and J. D. Wallis, Eds. New York: Oxford University Press, 2007, pp. 391-418.
4. J. D. Wallis, "Single neuron activity underlying behavior-guiding rules, " in Neuroscience of Rule-Guided Behavior, S. A. Bunge, and J. D. Wallis, Eds. New York: Oxford University Press, 2007, pp. 23-44.
5. J. M. Fuster, "The prefrontal cortex - An update: Time is of the essence, " Neuron, vol. 30, pp. 319-333, 2001.
6. S. A. Bunge, "How we use rules to select actions: A review of evidence from cognitive neuroscience, " Cognitive, Affective, & Behavioral Neuroscience, vol. 4, pp. 564-579, 2004.
7. W. F. Asaad, G. Rainer, and E. K. Miller, "Neural activity in the primate prefrontal cortex during associative learning, " Neuron, vol. 21, pp. 1399-1407, 1998.
8. I. M. White, and S. P. Wise, "Rule-dependent neuronal activity in the prefrontal cortex, " Experimental Brain Research, vol. 126, pp. 315- 335, 1999.
9. J. D. Wallis, and E. K. Miller, "From rule to response: Neuronal processes in the premotor and prefrontal cortex, " Journal of Neurophysiology, vol. 90, pp. 1790-1806, 2003.
10. R. Muhammad, J. D. Wallis, and E. K. Miller, "A comparison of abstract rules in the prefrontal cortex, premotor cortex, inferior temporal cortex, and striatum, " Journal of Cognitive Neuroscience, vol. 18, pp. 974-989, 2006.
11. F. G. Ashby, J. M. Ennis, and B. J. Spiering, "A neurobiological theory of automaticity in perceptual categorization, " Psychological Review, vol. 114, pp. 632-656, 2007.
12. F. G. Ashby, S. W. Ell, V. Valentin, and M. B. Casale, "FROST: A distributed neurocomputational model of working memory maintenance, " Journal of Cognitive Neuroscience, vol. 17, pp. 1728- 1743, 2005.
13. D. J. Freedman, "Posterior pariet al. cortex: Space...and beyond, " Neuron, vol. 42, pp. 881-883, 2004.
14. L. J. Toth, and J. A. Assad, "Dynamic coding of behaviorally relevant stimuli in pariet al. cortex, " Nature, vol. 415, pp. 165-168, 2002.
15. S. P. Wise, D. Boussaoud, P. B. Johnson, and R. Caminiti, "Premotor and pariet al. cortex: Corticocortical connectivity and combinatorial computations, " Annual Review of Neuroscience, vol. 20, pp. 25-42, 1997.
16. M. Osaka, and N. Osaka, "Neural bases of focusing attention in working memory: An fMRI study based on individual differences, " in The Cognitive Neuroscience of Working Memory, N. Osaka, R. H. Logie, and M. D'Esposito, Eds. New York: Oxford University Press, 2007, pp. 99-117.
17. E. M. Izhikevich, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting. Cambridge, MA: MIT Press, 2007.
18. W. Rall, "Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input, " Journal of Neurophysiology, vol. 30, pp. 1138-1168, 1967.