Decision making guided by emotion: A computational architecture

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2012, Pages

  Béroule, Dominique G ^a   Gisquet Verrier, Pascale ^b  

^a UFR 919 Laboratoire d'Informatique Pour la Mécanique et les Sciences de l'Ingénieur   (France)

^b CNRS   (France)

Author keywords

coincidence detection; conditioning; emotional valence; Guided Propagation Network; neuromodulation; retrieval cues

Indexed keywords

COINCIDENCE DETECTION; EMOTIONAL VALENCE; GUIDED PROPAGATION; NEUROMODULATION; RETRIEVAL CUES;

COINCIDENCE CIRCUITS; COMPUTER SIMULATION; DECISION MAKING; NATURAL GAS CONDITIONING; NEURAL NETWORKS;

NETWORK ARCHITECTURE;

EID: 84865067263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2012.6252412     Document Type: Conference Paper

References (25)

1. M.G. Cowling and J. F. Price, "Bandwidth versus time concentration: the Heisenberg-Pauli-Weyl inequality", SIAM J. Math. Anal., vol. 15(1), 1984, pp.151-165
2. M.J. Franck, M.X. Cohen, and A.G. Sanfey, "Multiple Systems in Decision Making: A Neurocomputational Perspective", Current Directions in Psychological Science, Volume 18, No 2, 2009, pp.73-77
3. J. LeDoux, "The Emotional Brain, Fear, and the Amygdala", Cellular and Molecular Neurobiology, Vol.23, Nos 4/5, October 2003
4. A. R. Damasio, D. Tranel and H.C. Damasio, "Somatic Markers and the Guidance of Behavior: Theory and preliminary testing". In H.S. Levine, H.M. Eisenberg, A.L. Benton, eds., Frontal Lobe Function and Dysfunction (pp. 217-229). New York: Oxford University Press.
5. P.C. Holland & M. Gallagher, "Amygdala circuitry in attentional and representational processes.," Trends in Cog. Sci., 3(2), 1999, pp. 65-73.
6. E.K. Miller & J.D. Cohen, "An integrative theory of prefrontal cortex function," Annual Reviews of Neuroscience, 24, 2001, pp. 167-202.
7. S.W. Kennerley, T.E. J. Behrens & J.D. Wallis, "Double dissociation of value computations in orbitofrontal and anterior cingulate neurons", Nature Neuroscience Vol.14, no2, 2011, pp.1581-1589
8. M. Boujabit, B. Bontempi, C. Destrade & P. Gisquet-Verrier, "Exposure to retrieval cues in rats induces changes in regional brain glucose metabolism: Role for the amygdala in the retrieval of memory?", Neurobiology of Learning and Memory, 79, 2003, pp. 57-71.
9. S.N. Haber, J.L. Fudge, and N.R. McFarland, "Striatonigrostriatal pathways in primates form an ascending spiral from the shell to the dorsolateral striatum," J. of Neuroscience, 20(6), 2000, pp. 2369-2382.
10. S.N. Haber, and B. Knutson, "The reward circuit: linking primate anatomy and human imaging," Neuropsychopharm., 35, 2010, pp. 4-26.
11. E. Koechlin, C. Odyl and F. Kouneiher, "The Architecture of Cognitive Control in the Human Prefrontal Cortex", Science 14 November 2003: Vol. 302 no. 5648 pp. 1181-1185
12. R.J.Beninger, R.Miller, "Dopamine D1-like receptors and reward related incentive learning," Neurosci Biobehav Rev; 22(2), 1998, pp. 335-45
13. A. Bechara, A.R. Damasio, H. Damasio & S.W. Anderson, "Insensitivity to future consequences following damage to human prefrontal cortex". Cognition 50 1994, pp. 7-15.
14. F. Botreau, N. El Massioui, F. Chéruel, and P. Gisquet-Verrier, "Effects of medial prefrontal cortex and dorsal striatum lesions on retrieval processes in rats," Neuroscience, 129, 2004, pp. 539-553.
15. P. Gisquet-Verrier,"Hypersensitivity to cue-elicited memory reactivation as a possible source for psychiatric pathologies such as relapse to drug addiction and post-traumatic stress disorder," in Endophenotypes of psychiatric and Neurodegenerative Disorders in Rodent Models, Ed. S.Granon, 2009, pp.41-82.
16. F. Rosenblatt, "The perceptron: a probabilistic model for information storage and organization in the brain", Psychological Review, Vol 65(6), 1958, pp.386-408.
17. T. Hill, L. Marquez, M. O'Connor, W.Remus, Artificial neural network models for forecasting and decision making, Int. Journal of Forecasting, Vol. 10, no1, 1994, pp. 5-15
18. D.S.Levine, Neural network modeling of emotion, Physics of Life Reviews, Vol.4, no1, 2007, pp. 37-63.
19. P. Eckhoff, K.-F. Wong, and P. Holmes, Optimality and robustness of a biophysical decision-making model under norepinephrine modulation, J. Neurosci., 29, 2009, pp. 4301-4311.
20. D. Béroule, "The Never-ending Learning", in: Neural Computers, R.Eckmiller, C.v.d. Malsburg (Eds), Springer-Verlag, 1988, pp. 219-230
21. st Conf. On Neural Networks, San-Diego, 1987.
22. C. Toffano, D. Béroule, J-P. Tassin, "A Functional Model of some Parkinson's Disease Symptoms using a Guided Propagation Network," in Artificial Intelligence in Medecine, No 14, 1998, pp. 237-258.
23. D. Béroule, "An instance of coincidence detection architecture relying on temporal coding," IEEE trans. Neural Net, 15(5), 2004, pp. 963-979.
24. J.-P., Tassin, "Uncoupling between noradrenergic and serotonergic neurons as a molecular basis of stable changes in behavior induced by repeated drugs of abuse", Biochemical Pharmacol. 75, 2008, pp.85-97
25. F.C. Bartlett, "Remembering: A Study in Experimental and Social Psychology" Cambridge, England: Cambridge University Press, 1932.