How can bottom-up information shape learning of top-down attention-control skills?

2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Conference Program

Volumn , Issue , 2010, Pages 231-237

  Ognibene, Dimitri ^a   Pezzulo, Giovanni ^b   Baldassarre, Gianluca ^a  

^a INSTITUTE OF COGNITIVE SCIENCES AND TECHNOLOGIES   (Italy)

^b CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ATTENTION CONTROL; BOTTOM-UP ATTENTION; COORDINATION MODEL; FOVEATION; OPEN PROBLEMS; PERCEPTUAL ALIASING; PROCESSING COSTS; SALIENCY MAP; SHAPE LEARNING; SPATIAL RELATIONS; SPECIFIC KNOWLEDGE; TASK PERFORMANCE; TOPDOWN; VISUOMOTORS;

COMPUTER SIMULATION; OBJECT RECOGNITION;

KNOWLEDGE REPRESENTATION;

EID: 78149237286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEVLRN.2010.5578839     Document Type: Conference Paper

References (30)

1. C. Balkenius and N. Hulth. Attention as selection-for-action: a scheme for active perception. In Giovanni Pezzulo, Martin Butz, Rino Falcone, and Cristiano Castelfranchi, editors, Advanced Mobile Robots, 1999. (Eurobot '99) 1999 Third European Workshop on, pages 113-119, 6-8 Sept. 1999.
2. Chun. Contextual cueing of visual attention. Trends Cogn Sci, 4(5):170-178, May 2000.
3. Paul Cisek. Integrated neural processes for defining potential actions and deciding between them: a computational model. J Neurosci, 26(38):9761-9770, Sep 2006.
4. Vassilis Cutsuridis. A cognitive model of saliency, attention, and picture scanning. Cognitive Computation, 1:292-299, 2009.
5. P. F. Dominey and M. A. Arbib. A cortico-subcortical model for generation of spatially accurate sequential saccades. Cereb Cortex, 2(2):153-175, 1992.
6. Krista A Ehinger, Barbara Hidalgo-Sotelo, Antonio Torralba, and Aude Oliva. Modeling search for people in 900 scenes: A combined source model of eye guidance. Vis cogn, 17(6-7):945-978, Aug 2009.
7. Wolfgang Einhuser, Ueli Rutishauser, and Christof Koch. Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuli. J Vis, 8(2):2.1-219, 2008.
8. Wolfram Erlhagen and Gregor Schöner. Dynamic field theory of movement preparation. Psychological Review, 109(3):545-572, 2002.
9. Jennifer J Heisz and David I Shore. More efficient scanning for familiar faces. J Vis, 8(1):9.1-910, 2008.
10. O. Hikosaka, Y. Takikawa, and R. Kawagoe. Role of the basal ganglia in the control of purposive saccadic eye movements. Physiol Rev, 80(3):953-978, 2000.
11. L. Itti and C. Koch. Computational modelling of visual attention. Natutre Review Neuroscience, 2(3):194-203, Mar 2001.
12. Klein. Inhibition of return. Trends Cogn Sci, 4(4):138-147, Apr 2000.
13. Michael F Land. Eye movements and the control of actions in everyday life. Prog Retin Eye Res, 25(3):296-324, May 2006.
14. M. Lungarella and O. Sporns. Information self-structuring: Key principle for learning and development. In Development and Learning, 2005. Proceedings. The 4th International Conference on, pages 25-30, 19-21 July 2005.
15. George L. Malcolm and John M. Henderson. Combining top-down processes to guide eye movements during real-world scene search. Journal of Vision, 10:1-11, 2010.
16. D. Ognibene, C. Balkenius, and G. Baldassarre. Integrating epistemic action (active vision) and pragmatic action (reaching): A neural architecture for camera-arm robots. In Minoru Asada, Jun Tani, John Hallam, and Jean-Arcady Meyer, editors, The tenth International Conference on the Simulation of Adaptive Behaviour (SAB'08), Osaka, Japan, july 2008. Springer.
17. Dimitri Ognibene, Angelo Rega, and Gianluca Baldassarre. A model of reaching that integrates reinforcement learning and population encoding of postures. In From Animals to Animats 9, 9th International Conference on Simulation of Adaptive Behavior, SAB 2006, Rome, Italy, September 25-29, 2006, Proceedings., pages 381-393. Springer, september 2006.
18. A. Pouget, K. Zhang, S. Deneve, and P. E. Latham. Statistically efficient estimation using population coding. Neural Comput, 10(2):373-401, Feb 1998.
19. Alexandre Pouget, Jean Christophe Ducom, Jeffrey Torri, and Daphne Bavelier. Multisensory spatial representations in eye-centered coordinates for reaching. Cognition, 83(1):B1-11, Feb 2002.
20. C. A. Rothkopf, T. H. Weisswange, and J. Triesch. Learning independent causes in natural images explains the spacevariant oblique effect. In IEEE 8th International Conference on Development and Learning, June 5-7 2009.
21. Constantin A Rothkopf, Dana H Ballard, and Mary M Hayhoe. Task and context determine where you look. J Vis, 7(14):16.1-1620, 2007.
22. Uta Sailer, J. Randall Flanagan, and Roland S Johansson. Eye-hand coordination during learning of a novel visuomotor task. J Neurosci, 25(39):8833-8842, Sep 2005.
23. Michael A Silver and Sabine Kastner. Topographic maps in human frontal and parietal cortex. Trends Cogn Sci, 13(11):488-495, 2009.
24. Satinder Pal Singh. Transfer of learning by composing solutions of elemental sequential tasks. Mach. Learn., 8(3-4):323-339, 1992.
25. R.S. Sutton and A.G. Barto. Reinforcement Learning. MIT PRESS, Cambridge, MA, 1998.
26. M. Suzuki, D. Floreano, and E.A. Di Paolo. The contribution of active body movement to visual development in evolutionary robots. Neural Networks, 18(5-6):656-665, 2005. (Pubitemid 43186586)
27. Joshua B. Tenenbaum, Thomas L. Griffiths, and Charles Kemp. Theory-based bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences, 10:309-318, 2006.
28. Kirk G Thompson and Narcisse P Bichot. A visual salience map in the primate frontal eye field. Prog Brain Res, 147:251-262, 2005.
29. Stefan Treue. Visual attention: the where, what, how and why of saliency. Curr Opin Neurobiol, 13(4):428-432, Aug 2003.
30. A. L. Yarbus. Eye movements and vision. Plenum Press, 1967.