A bio-inspired architecture of an active visual search model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5164 LNCS, Issue PART 2, 2008, Pages 248-257

  Cutsuridis, Vassilis ^a  

^a UNIVERSITY OF STIRLING   (United Kingdom)

Author keywords

Action; ART; Attention; Cognitive system; Decision making; Dopamine; Perception; Reinforcement learning; Saliency; Visual search

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COGNITIVE SYSTEMS; CONTROL THEORY; DECISION MAKING; FEATURE EXTRACTION; FEEDBACK; IMAGE SEGMENTATION; MAPS; MECHANISMS; MOTORS; PROBLEM SOLVING; REINFORCEMENT; REINFORCEMENT LEARNING; VISUAL COMMUNICATION;

ACTION; ART; ARTIFICIAL NEURAL NETWORKS; ATTENTION; BIO-INSPIRED; BOTTOM-UP; COGNITIVE SYSTEM; DECISION-MAKING MECHANISMS; DOPAMINE; INHIBITORY FEEDBACK; INTERNATIONAL CONFERENCES; MAP FORMATION; MULTI-MODULAR; PERCEPTION; REINFORCEMENT SIGNAL; SALIENCY; SALIENCY MAP; SYSTEM ARCHITECTURES; TOP-DOWN; VISUAL FEATURE EXTRACTION; VISUAL PROCESSING; VISUAL SEARCH; WINNER-TAKE-ALL;

NEURAL NETWORKS;

EID: 51849159096     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87559-8_26     Document Type: Conference Paper

References (38)

1. Cutsuridis, V., Perantonis, S.: A Neural Network Model of Parkinson's Disease Bradykinesia. Neural Networks 19(4), 354-374 (2006)
2. Cutsuridis, V.: Does Reduced Spinal Reciprocal Inhibition Lead to Co-contraction of Antagonist Motor Units? A Modeling Study. Int. J. Neur. Syst. 17(4), 319-327 (2007)
3. Cutsuridis, V., Smyrnis, N., Evdokimidis, I., Perantonis, S.: A Neural Network Model of Decision Making in an Antisaccade Task by the Superior Colliculus. Neural Networks 20(6), 690-704 (2007b)
4. Cutsuridis, V., Kahramanoglou, I., Smyrnis, N., Evdokimidis, I., Perantonis, S.: A Neural Variable Integrator Model of Decision Making in an Antisaccade Task. Neurocomputing 70(7-9), 1390-1402 (2007a)
5. Cutsuridis, V.: Neural Model of Dopaminergic Control of Arm Movements in Parkinson's Disease Bradykinesia. In: Kollias, S.D., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4131, pp. 583-591. Springer, Heidelberg (2006)
6. Cutsuridis, V., Kahramanoglou, I., Perantonis, S., Evdokimidis, I., Smyrnis, N.: A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity. In: Duch, W., et al. (eds.) ICANN 2005. LNCS, vol. 3695, pp. 205-210. Springer, Berlin (2005)
7. Comoli, E., Coizet, V., Boyes, J., Bolam, J.P., Canteras, N.S., Quirk, R.H., Over-ton, P.G., Redgrave, P.: A Direct Projection from the Superior Colliculus to Sub-stantia Nigra for Detecting Salient Visual Events. Nat. Neurosci. 6(9), 974-980 (2003)
8. Coizet, V., Comoli, E., Westby, G.W., Redgrave, P.: Phasic Activation of Sub-stantia Nigra and the Ventral Tegmental Area by Chemical Stimulation of the Superior Colliculus: An Electrophysiological Investigation in the Rat. Eur. J. Neu-rosci. 17(1), 28-40 (2003)
9. Schultz, W.: Predictive Reward Signal of Dopamine Neurons. J. Neurophysiol. 80, 1-27 (1998)
10. McHaffie, J.G., Jiang, H., May, P.J., Coizet, V., Overton, P.G., Stein, B.E., Redgrave, P.: A Direct Projection from Superior Colliculus to Substantia Nigra Pars Compacta in the Cat. Neurosci. 138(1), 221-234 (2006)
11. May, P.J., et al.: Projections from the Superior Colliculus to Substantia Nigra Pars Compacta in a Primate. Soc. Neurosci. Abstr. 450(2) (2005)
12. Redgrave, P., Gurney, K.: The Short Latency Dopamine Signal: A Role in Discovering Novel Actions. Nat. Neurosci. 7, 967-975 (2006)
13. Itti, L., Koch, C.: Computational Modelling of Visual Attention. Nat. Neurosci. 2, 194-203 (2001)
14. Koch, C., Ullman, S.: Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry. Hum. Neurobiol. 4, 219-227 (1995)
15. Didday, R.L., Arbib, M.A.: Eye Movements and Visual Perception: A Two Visual System Model. Int. J. Man-Machine Studies 7, 547-569 (1975)
16. Lee, D.K., Itti, L., Koch, C., Braun, J.: Attention Activates Winner-Take-All Competition Among Visual Filters. Nat. Neurosci. 2, 375-381 (1999)
17. Deco, G., Rolls, E.T.: Attention, Short-Memory and Action Selection: A Unifying Theory. Prog. Neurobiol. 76, 236-256 (2005)
18. Korsten, N.J.H., Fragopanagos, N., Hartley, M., Taylor, N., Taylor, J.G.: Attention as a Controller. Neural Networks 19, 1408-1421 (2006)
19. Desimone, R., Duncan, J.: Neural Mechanisms of Selective Visual Attention. Ann. Rev. Neurosci. 18, 193-222 (1995)
20. Tsotsos, J.K., Culhane, S., Wai, W., Lai, Y., Davis, N., Nuflo, F.: Modeling Visual Attention via Selective Tuning. Art. Intel. 78(1-2), 507-547 (1995)
21. Itti, L., Koch, C.: A Saliency Based Search Mechanism for Overt and Covert Shifts of Visual Attention. Vision Res. 40, 1489-1506 (2000)
22. Grossberg, S., Raisada, R.D.: Contrast-Sensitive Perceptual Grouping and Object-Based Attention in the Laminar Circuits of Primary Visual Cortex. Vision Res. 40, 1413-1432 (2000)
23. Dommett, E., Coizet, V., Blaha, C.D., Martindale, J., Lefebre, V., Walton, N., Mayhew, J.E., Overton, P.G., Redgrave, P.: How Visual Stimuli Activate Dopamin-ergic Neurons at Short Latency. Science 307(5714), 1476-9 (2005)
24. Grossberg, S.: Competitive Learning: From Interactive Activation to Adaptive Resonance. Cogn. Sci. 11, 23-63 (1987)
25. Carpenter, G.A., Grossberg, S.: Adaptive Resonance Theory. In: Arbib, M.A. (ed.) The Handbook of Brain Theory and Neural Networks, 2nd edn., pp. 87-90. MIT Press, Cambridge (2003)
26. Reynolds, J.H., Desimone, R.: The Role of Neural Mechanisms of Attention in Solving the Binding Problem. Neuron 24(1), 19-29 (1999)
27. Thrope, S., Fize, D., Marlot, C.: Speed of Processing in the Human Visual System. Nature 381(6582), 520-522 (1996)
28. Thompson, K.G., Bichot, N.P.: A Visual Saliency Map in the Primate Frontal Eye Field. Prog. Brain Res. 147, 251-262 (2005)
29. Hamker, F.H.: The Re-entry hypothesis: The Putative Interaction of the Frontal Eye Field, Ventrolateral Prefrontal Cortex and Areas V4, IT of Attention and Eye Movement. Cereb. Cortex 15, 431-447 (2005)
30. Brown, J.W., Bullock, D., Grossberg, S.: How Laminar Frontal Cortex and Basal Ganglia Circuits Interact to Control Planned and Reactive Saccades. Neural Networks 17, 471-510 (2004)
31. Tsotsos, J.K., Culhane, S.M., Wai, W.Y.K., Lai, Y.H., Davis, N., Nublo, F.: Modelling Visual Attention via Selective Tuning. Artif. Intell. 78(1-2), 506-545 (1995)
32. Tsotsos, J.K., Liu, Y., Martinez-Trujillo, J.C., Pomplun, M., Simine, E., Zhou, K.: Attending to Visual Motion. Comput. Vis. Image Und. 100(1-2), 3-40 (2005)
33. Cutzu, F., Tsotsos, J.K.: The Selective Tuning Model of Attention: Psychophysical Evidence for a Suppressive Annulus Around an Attended Item. Vis. Res. 43(2), 205-219 (2003)
34. Rothenstein, A.L., Tsotsos, J.K.: Attention Links Sensing to Recognition. Image and Vision Computing 26(1), 114-126 (2008)
35. Taylor, J.G.: Race for Consciousness. MIT Press, Cambridge
36. Taylor, J.G., Fragopanagos, N.: Simulations of Attention Control Models in Sensory and Motor Paradigms. In: Proc. Int. J. Conf. Neur. Netw., pp. 298-303 (2003)
37. Taylor, J.G., Rogers, M.: A Control Model of the Movement of Attention. Neural Networks 15, 309-326 (2002)
38. Taylor, J.G.: Paying Attention to Consciousness. TICS 6, 206-210 (2003)