Modelling the interaction of attention and emotion

Neurocomputing

Volumn 69, Issue 16-18, 2006, Pages 1977-1983

  Fragopanagos, N ^a   Taylor, J G ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Attention; Computational model; Emotional recognition; Emotions

Indexed keywords

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

ATTENTION; COMPUTATIONAL MODEL; EMOTIONAL RECOGNITION; EMOTIONS;

COGNITIVE SYSTEMS;

AMYGDALOID NUCLEUS; ARTICLE; ATTENTION; BIOENGINEERING; BRAIN CORTEX; COGNITION; EMOTION; FEEDBACK SYSTEM; MATHEMATICAL MODEL; NERVE CELL MEMBRANE POTENTIAL; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SIMULATION;

EID: 33748435024     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.11.016     Document Type: Article

References (31)

1. Adolphs R. Neural systems for recognizing emotion. Curr. Opin. Neurobiol. 12 (2002) 169-177
2. Anderson A.K., and Phelps E.A. Lesions of the human amygdala impair enhanced perception of emotionally salient events. Nature 411 (2001) 305-309
3. Armony J.L., and Dolan R.J. Modulation of spatial attention by fear-conditioned stimuli: an event-related fMRI study. Neuropsychologia 40 (2002) 817-826
4. Beauregard M., Levesque J., and Bourgouin P. Neural correlates of conscious self-regulation of emotion. J. Neurosci. 21 (2001) RC165
5. Broadbent D.E. Perception and Communication (1958), Pergamon Press, London
6. Corbetta M., and Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3 (2002) 201-215
7. Coull J.T., and Nobre A.C. Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI. J. Neurosci. 18 (1998) 7426-7435
8. Deco G. Biased competition for visual attention. In: Wermter S., Austin J., and Willshaw D. (Eds). Emergent Neural Computational Architectures Based on Neuroscience-Towards Neuroscience-Inspired Computing (2001), Springer, Heidelberg 114-126
9. Desimone R., and Duncan J. Neural mechanisms of selective visual attention. Annu. Rev. Neurosci. 18 (1995) 193-222
10. ERMIS website: 〈http://www.image.ntua.gr/ermis〉.
11. N. Fragopanagos, J.G. Taylor, The effect of emotional bias in attentional processes, in: Proceedings of IJCNN 2004, 2004.
12. Fu K.M., Foxe J.J., Murray M.M., Higgins B.A., Javitt D.C., and Schroeder C.E. Attention-dependent suppression of distracter visual input can be cross-modally cued as indexed by anticipatory parieto-occipital alpha-band oscillations. Brain Res. Cogn Brain Res. 12 (2001) 145-152
13. Gitelman D.R., Nobre A.C., Parrish T.B., LaBar K.S., Kim Y.H., Meyer J.R., and Mesulam M. A large-scale distributed network for covert spatial attention: further anatomical delineation based on stringent behavioural and cognitive controls. Brain 122 6 (1999) 1093-1106
14. Hopfinger J.B., Buonocore M.H., and Mangun G.R. The neural mechanisms of top-down attentional control. Nat. Neurosci. 3 (2000) 284-291
15. Hopfinger J.B., Woldorff M.G., Fletcher E.M., and Mangun G.R. Dissociating top-down attentional control from selective perception and action. Neuropsychologia 39 (2001) 1277-1291
16. Kastner S., and Ungerleider L.G. The neural basis of biased competition in human visual cortex. Neuropsychologia 39 (2001) 1263-1276
17. Kim Y.H., Gitelman D.R., Nobre A.C., Parrish T.B., LaBar K.S., and Mesulam M.M. The large-scale neural network for spatial attention displays multifunctional overlap but differential asymmetry. Neuroimage 9 (1999) 269-277
18. Logothetis N.K., Pauls J., Augath M., Trinath T., and Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature 412 (2001) 150-157
19. Mayberg H.S. Limbic-cortical dysregulation: a proposed model of depression. J. Neuropsychiatry Clin. Neurosci. 9 (1997) 471-481
20. McNeely H.E., and Parlow S.E. Complementarity of linguistic and prosodic processes in the intact brain. Brain Lang. 79 (2001) 473-481
21. Mesulam M.M. A cortical network for directed attention and unilateral neglect. Ann. Neurol. 10 (1981) 309-325
22. Mozer M.C., and Sitton M. Computational modeling of spatial attention. In: Pashler H. (Ed). Attention (1998), Taylor & Francis, New York 341-393
23. Perlstein W.M., Elbert T., and Stenger V.A. Dissociation in human prefrontal cortex of affective influences on working memory-related activity. Proc. Natl. Acad. Sci. USA 99 (2002) 1736-1741
24. Pessoa L.B., McKenna M., Gutierrez E., and Ungerleider L.G. Neural processing of emotional faces requires attention. Proc. Natl. Acad. Sci. USA 99 (2002) 11458-11463
25. Taylor J.G. Paying attention to consciousness. Prog. Neurobiol. 71 (2003) 305-335
26. Taylor J.G. Attentional movement: the control basis for consciousness. Soc. Neurosci. Abstracts 26 (2000) 2231 #839.3
27. Taylor J.G. From matter to mind. J. Conscious. Stud. 9 (2002) 3-22
28. Taylor J.G., and Rogers M. A control model of the movement of attention. Neural Networks 15 (2002) 309-326
29. Treisman A.M. Strategies and models of selective attention. Psychol. Rev. 76 (1969) 282-299
30. van D., Velde d., and Kamps M. From knowing what to knowing where: modeling object-based attention with feedback disinhibition of activation. J. Cogn. Neurosci. 13 (2001) 479-491
31. Yamasaki H., LaBar K.S., and McCarthy G. Dissociable prefrontal brain systems for attention and emotion. Proc. Natl. Acad. Sci. USA 99 (2002) 11447-11451