Attention modeled as information in learning multisensory integration

Neural Networks

Volumn 65, Issue , 2015, Pages 44-52

  Bauer, Johannes ^a   Magg, Sven ^a   Wermter, Stefan ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

Author keywords

Attention; Multisensory integration; Self organization; Superior colliculus

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS;

ATTENTION; COGNITIVE PROCESS; MULTISENSORY INTEGRATION; NEURAL NETWORK MODEL; SELF ORGANIZATIONS; SELF ORGANIZED LEARNING; SENSORY STIMULUS; SUPERIOR COLLICULUS;

INTEGRATION;

ARTICLE; ATTENTION; BEHAVIOR; LEARNING; LEARNING MULTISENSORY INTEGRATION; NERVE CELL NETWORK; NEUROPHYSIOLOGY; ONTOGENY; STATISTICS; SUPERIOR COLLICULUS; ANIMAL; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; HUMAN; PERCEPTION;

ANIMALS; ATTENTION; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); PERCEPTION;

EID: 84922799071     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2015.01.004     Document Type: Article

References (63)

1. Akaike Hirotugu A new look at the statistical model identification. IEEE Transactions on Automatic Control 1974, 19(6):716-723.
2. Alais David, Burr David The ventriloquist effect results from near-optimal bimodal integration. Current Biology 2004, 14(3):257-262.
3. Anastasio Thomas~J., Patton Paul~E. A two-stage unsupervised learning algorithm reproduces multisensory enhancement in a neural network model of the corticotectal system. The Journal of Neuroscience 2003, 23(17):6713-6727.
4. Andersen Søren~K., Müller Matthias~M., Hillyard Steven~A. Color-selective attention need not be mediated by spatial attention. Journal of Vision 2009, 9(6).
5. Bauer, Johannes, & Wermter, Stefan (2013). Learning multi-sensory integration with self-organization and statistics. In Artur Garcez, Luis Lamb, and Pascal Hitzler (Eds.), Ninth international workshop on neural-symbolic learning and reasoning NeSy'13, (pp. 7-12), August.
6. Bauer, Johannes, & Wermter, Stefan (2013). Self-organized neural learning of statistical inference from high-dimensional data. In F.Rossi, (Ed.), International joint conference on artificial intelligence IJCAI, (pp. 1226-1232), August.
7. Bauer Johannes, Dávila-Chacón Jorge, Wermter Stefan Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes. Connection Science 2014, 1-19.
8. Beck Jeffrey~M., Ma Wei~J., Kiani Roozbeh, Hanks Tim, Churchland Anne~K., Roitman Jamie, Shadlen Michael~N., Latham Peter~E., Pouget Alexandre Probabilistic population codes for Bayesian decision making. Neuron 2008, 60(6):1142-1152.
9. Berson David~M. Retinal and cortical inputs to cat superior colliculus: composition, convergence and laminar specificity. Progress in brain research 1988, vol.~75:17-26. Elsevier.
10. Born Sabine, Ansorge Ulrich, Kerzel Dirk Feature-based effects in the coupling between attention and saccades. Journal of Vision 2012, 12(11).
11. Bruce Charles~J., Goldberg Michael~E., Bushnell M.~Catherine, Stanton Gregory~B. Primate frontal eye fields. II. Physiological and anatomical correlates of electrically evoked eye movements. Journal of Neurophysiology 1985, 54(3):714-734.
12. Buschman Timothy~J., Miller Earl~K. Top-Down versus Bottom-Up control of attention in the prefrontal and posterior parietal cortices. Science 2007, 315(5820):1860-1862.
13. Chabot Nicole, Mellott Jeffrey~G., Hall Amee~J., Tichenoff Emily~L., Lomber Stephen~G. Cerebral origins of the auditory projection to the superior colliculus of the cat. Hearing Research 2013, 300:33-45.
14. Chen Lihan, Vroomen Jean Intersensory binding across space and time: A tutorial review. Attention, Perception, & Psychophysics 2013, 75(5):790-811.
15. Clarey Janine~C., Irvine Dexter R.~F. The anterior ectosylvian sulcal auditory field in the cat: II. A horseradish peroxidase study of its thalamic and cortical connections. The Journal of Comparative Neurology 1990, 301(2):304-324.
16. Colonius Hans, Diederich Adele Why aren't all deep superior colliculus neurons multisensory? A Bayes' ratio analysis. Cognitive, Affective & Behavioral Neuroscience 2004, 4(3):344-353.
17. Cuppini Cristiano, Magosso Elisa, Rowland Benjamin~A., Stein Barry~E., Ursino Mauro Hebbian mechanisms help explain development of multisensory integration in the superior colliculus: a neural network model. Biological Cybernetics 2012, 106(11-12):691-713.
18. Dehner Lisa~R., Keniston Leslie~P., Clemo Ruth~R., Meredith Alex~A. Cross-modal circuitry between auditory and somatosensory areas of the cat anterior ectosylvian sulcal cortex: A 'new' inhibitory form of multisensory convergence. Cerebral Cortex 2004, 14(4):387-403.
19. deLeeuw Jan Introduction to Akaike (1973) information theory and an extension of the maximum likelihood principle. Breakthroughs in statistics, springer series in statistics 1992, 599-609. Springer-Verlag, New York. S. Kotz, N. Johnson (Eds.).
20. Deneve Sophie, Latham Peter~E., Pouget Alexandre Efficient computation and cue integration with noisy population codes. Nature Neuroscience 2001, 4(8):826-831.
21. Duffy Charles~J. MST neurons respond to optic flow and translational movement. Journal of Neurophysiology 1998, 80(4):1816-1827.
22. Ferraina Stefano, Paré Martin, Wurtz Robert~H. Comparison of Cortico-Cortical and Cortico-Collicular signals for the generation of saccadic eye movements. Journal of Neurophysiology 2002, 87(2):845-858.
23. Fetsch Christopher~R., DeAngelis Gregory~C., Angelaki Dora~E. Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons. Nature Reviews Neuroscience 2013, 14(6):429-442.
24. Foxe, JohnJ. (2012). The interface of multisensory processing and selective attention. In Stein (pp. 337-343).
25. Goldberg Michael~E., Wurtz Robert~H. Activity of superior colliculus in behaving monkey. ii. effect of attention on neuronal responses. Journal of Neurophysiology 1972, 35(4):560-574.
26. Graziano Michael~S., Gross Charles~G. A bimodal map of space: somatosensory receptive fields in the macaque putamen with corresponding visual receptive fields. Experimental Brain Research 1993, 97(1):96-109.
27. Ignashchenkova Alla, Dicke Peter~W., Haarmeier Thomas, Thier Peter Neuron-specific contribution of the superior colliculus to overt and covert shifts of attention. Nature neuroscience 2004, 7(1):56-64.
28. Jack Charles~E., Thurlow Willard~R. Effects of degree of visual association and angle of displacement on the "ventriloquism" effect. Perceptual and Motor Skills 1973, 37(3):967-979.
29. Kastner Sabine, Ungerleider Leslie~G. Mechanisms of visual attention in the human cortex. Annual Review of Neuroscience 2000, 23(1):315-341.
30. King Andrew~J. Multisensory circuits. Neural circuit development and function in the brain 2013, 61-73. Academic Press, Oxford.
31. Kohonen Teuvo Self-Organizing Maps. Springer series in information sciences 1995, Springer-Verlag, Berlin.
32. Krauzlis, Richard.J., Bollimunta, Anil, Arcizet, Fabrice, & Wang, Lupeng Attention as an effect not a cause. Trends in Cognitive Sciences, June 2014.
33. Kustov Alexander~A., Robinson David~L. Shared neural control of attentional shifts and eye movements. Nature 1996, 384(6604):74-77.
34. Law Margaret~I., Constantine-Paton Martha Anatomy and physiology of experimentally produced striped tecta. Journal of Neuroscience 1981, 1(7):741-759.
35. Martin Jacob~G., Meredith~Alex A., Ahmad Khurshid Modeling multisensory enhancement with self-organizing maps. Frontiers in Computational Neuroscience 2009, 3.
36. Maunsell John~H., Treue Stefan Feature-based attention in visual cortex. Trends in Neurosciences 2006, 29(6):317-322.
37. May Paul~J. The mammalian superior colliculus: laminar structure and connections. Progress in brain research 2006, vol. 151:321-378. Elsevier.
38. McGurk Harry, MacDonald John Hearing lips and seeing voices. Nature 1976, 264(5588):746-748.
39. Meredith Alex~M., Stein Barry~E. Spatial factors determine the activity of multisensory neurons in cat superior colliculus. Brain Research 1986, 365(2):350-354.
40. Alex Meredith M. Corticocortical connectivity of Cross-Modal circuits. The handbook of multisensory processes 2004, 343-355. The MIT Press. G. Calvert, C. Spence, B. Stein (Eds.).
41. Miikkulainen Risto, Bednar James~A., Choe Yoonsuck, Sirosh Joseph Computational maps in the visual cortex 2005, Springer, New York, USA. 2005 edition.
42. Morgan Michael~L., DeAngelis Gregory~C., Angelaki Dora~E. Multisensory integration in macaque visual cortex depends on cue reliability. Neuron 2008, 59(4):662-673.
43. Ohshiro Tomokazu, Angelaki Dora~E., DeAngelis Gregory~C. A normalization model of multisensory integration. Nature Neuroscience 2011, 14(6):775-782.
44. Olson Carl~R., Graybiel Ann~M. Ectosylvian visual area of the cat: Location, retinotopic organization, and connections. The Journal of Comparative Neurology 1987, 261(2):277-294.
45. Pavlou Athanasios, Casey Matthew Simulating the effects of cortical feedback in the superior colliculus with topographic maps. The 2010 International joint conference on neural networks, IJCNN 2010, 1-8. IEEE.
46. Pollack Jay~G., Hickey Terry~L. The distribution of retino-collicular axon terminals in rhesus monkey. The Journal of Comparative Neurology 1979, 185(4):587-602.
47. Rowland Benjamin~A., Stanford Terrence~R., Stein Barry~E. A model of the neural mechanisms underlying multisensory integration in the superior colliculus. Perception 2007, 36(10):1431-1443.
48. Soltani Alireza, Wang Xiao-Jing Synaptic computation underlying probabilistic inference. Nature Neuroscience 2010, 13(1):112-119.
49. Sparks David~L. Neural cartography: Sensory and motor maps in the superior colliculus. Brain, Behavior and Evolution 1988, 31(1):49-56.
50. Stein Barry~E., Alex Meredith M. The merging of the senses. cognitive neuroscience series 1993, MIT Press. 1 edition.
51. Stein Barry~E., Stanford Terrence~R. Multisensory integration: current issues from the perspective of the single neuron. Nature Reviews Neuroscience 2008, 9(5):406.
52. Stein Barry~E., Stanford Terrence~R., Rowland Benjamin~A. Development of multisensory integration from the perspective of the individual neuron. Nature Reviews Neuroscience 2014, 15(8):520-535.
53. Stein, BarryE. (2012). Early experience affects the development of multisensory integration in single neurons of the superior colliculus. In The new handbook of multisensory processing Stein (2012), (pp. 589-606).
54. The new handbook of multisensory processing 2012, The MIT Press, Cambridge, MA, USA. B. Stein (Ed.).
55. Tolhurst David~J., Anthony Movshon J., Dean Andrew~F. The statistical reliability of signals in single neurons in cat and monkey visual cortex. Vision Research 1983, 23(8):775-785.
56. Ursino Mauro, Cuppini Cristiano, Magosso Elisa, Serino Andrea, Pellegrino Giuseppe Multisensory integration in the superior colliculus: a neural network model. Journal of Computational Neuroscience 2009, 26(1):55-73.
57. Vogels Rufin, Spileers Werner, Orban Guy~A. The response variability of striate cortical neurons in the behaving monkey. Experimental brain research 1989, vol.~77:432-436. Springer-Verlag.
58. Wallace Mark~T., Stein Barry~E. Cross-Modal synthesis in the midbrain depends on input from cortex. Journal of Neurophysiology 1994, 71(1):429-432.
59. Wallace Mark~T., Stein Barry~E. Sensory organization of the superior colliculus in cat and monkey. Progress in brain research 1996, vol. 112:301-311. Elsevier.
60. Warren David~H., Welch Robert~B., McCarthy Timothy~J. The role of visual-auditory compellingness in the ventriloquism effect: Implications for transitivity among the spatial senses. Perception & Psychophysics 1981, 30(6):557-564.
61. Weber Cornelius, Triesch Jochen Goal-directed feature learning. 2009 International joint conference on neural networks 2009, 3319-3326. IEEE.
62. Wilkinson Lee~K., Alex Meredith M., Stein Barry~E. The role of anterior ectosylvian cortex in cross-modality orientation and approach behavior. Experimental Brain Research 1996, 112(1):1-10.
63. Yang Tianming, Shadlen Michael~N. Probabilistic reasoning by neurons. Nature 2007, 447(7148):1075-1080.