Using perceptrons to explore the reorientation task

Cognition

Volumn 114, Issue 2, 2010, Pages 207-226

  Dawson, Michael R W ^a   Kelly, Debbie M ^b   Spetch, Marcia L ^a   Dupuis, Brian ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Artificial neural networks; Feature cues; Geometric cues; Reorientation task

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; LEARNING STYLE; MEDICAL RESEARCH; ORIENTATION; ORIENTING RESPONSE; PERCEPTRON; PRIORITY JOURNAL; STATE DEPENDENT LEARNING; STIMULUS; STIMULUS RESPONSE; TASK PERFORMANCE;

COLOR; CUES; FORM PERCEPTION; HUMANS; NEURAL NETWORKS (COMPUTER); ORIENTATION; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE;

EID: 73449105772     PISSN: 00100277     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cognition.2009.09.006     Document Type: Article

References (74)

1. Batty E.R., Bloomfield L.L., Spetch M.L., and Sturdy C.B. Comparing black-capped (Poecile atricapillus) and mountain chickadees (Poecile gambeli): Use of geometric and featural information in a spatial orientation task. Animal Cognition 12 4 (2009) 633-641
2. Bechtel W., and Abrahamsen A.A. Connectionism and the mind: Parallel processing, dynamics, and evolution in networks. 2nd ed. (2002), Blackwell, Malden, MA
3. Braitenberg V. Vehicles: Explorations in synthetic psychology (1984), MIT Press, Cambridge, MA
4. Brooks R.A. Cambrian intelligence. The early history of the new AI (1999), MIT Press, Cambridge, MA
5. Brown A.A., Spetch M.L., and Hurd P.L. Growing in circles - rearing environment alters spatial navigation in fish. Psychological Science 18 7 (2007) 569-573
6. Burgess N. Spatial cognition and the brain. Year in Cognitive Neuroscience 2008 1124 (2008) 77-97
7. Cheng K. A purely geometric module in the rat's spatial representation. Cognition 23 (1986) 149-178
8. Cheng K. Reflections on geometry and navigation. Connection Science 17 1-2 (2005) 5-21
9. Cheng K. Whither geometry? Troubles of the geometric module. Trends in Cognitive Sciences 12 9 (2008) 355-361
10. Cheng K., and Newcombe N.S. Is there a geometric module for spatial orientation? Squaring theory and evidence. Psychonomic Bulletin and Review 12 1 (2005) 1-23
11. Cheng K., Shettleworth S.J., Huttenlocher J., and Rieser J.J. Bayesian integration of spatial information. Psychological Bulletin 133 4 (2007) 625-637
12. Cheung A., Stuerzl W., Zeil J., and Cheng K. The information content of panoramic images II: View-based navigation in nonrectangular experimental arenas. Journal of Experimental Psychology-Animal Behavior Processes 34 1 (2008) 15-30
13. Chiandetti C., Regolin L., Sovrano V.d., and Vallortigara G. Spatial reorientation: The effects of space size on the encoding of landmark and geometry information. Animal Cognition 10 2 (2007) 159-168
14. Clark A. Being there: putting brain, body, and world together again (1997), MIT Press, Cambridge, Mass.
15. Clark A. Natural-born Cyborgs (2003), Oxford University Press, Oxford; New York
16. Dawson M.R.W. Understanding cognitive science (1998), Blackwell, Oxford, UK
17. Dawson M.R.W. Minds and machines: Connectionism and psychological modeling (2004), Blackwell Pub., Malden, MA
18. Dawson M.R.W. Connectionism: A hands-on approach. 1st ed. (2005), Blackwell Pub., Oxford, UK; Malden, MA
19. Dawson M.R.W. Connectionism and classical conditioning. Comparative Cognition and Behavior Reviews 3 Monograph (2008) 1-115
20. Dawson M.R.W., Dupuis B., Spetch M.L., and Kelly D.M. Simple artificial networks that match probability and exploit and explore when confronting a multiarmed bandit. Ieee Transactions on Neural Networks 20 8 (2009) 1368-1371
21. Dawson M.R.W., and Spetch M.L. Traditional perceptrons do not produce the overexpectation effect. Neural Information Processing - Letters and Reviews 7 1 (2005) 11-17
22. Dawson M.R.W., and Zimmerman C. Interpreting the internal structure of a connectionist model of the balance scale task. Brain and Mind 4 (2003) 129-149
23. Enquist M., and Ghirlanda S. Neural networks and animal behavior (2005), Princeton University Press, Princeton
24. Fodor J.A. The modularity of mind (1983), MIT Press, Cambridge, MA
25. Gallistel C.R. The organization of learning (1990), MIT Press, Cambridge, MA
26. Gluck M.A., and Bower G.H. From conditioning to category learning - An adaptive network model. Journal of Experimental Psychology-General 117 3 (1988) 227-247
27. Gluck M.A., and Myers C. Gateway to memory: an introduction to neural network modeling of the hippocampus and learning (2001), MIT Press, Cambridge, Mass.
28. Graham M., Good M.A., McGregor A., and Pearce J.M. Spatial learning based on the shape of the environment is influenced by properties of the objects forming the shape. Journal of Experimental Psychology-Animal Behavior Processes 32 1 (2006) 44-59
29. Gray E.R., Bloomfield L.L., Ferrey A., Spetch M.L., and Sturdy C.B. Spatial encoding in mountain chickadees: features overshadow geometry. Biology Letters 1 3 (2005) 314-317
30. Gulliksen H. A generalization of Thurstone's learning function. Psychometrika 18 4 (1953) 297-307
31. Hayward A., Good M.A., and Pearce J.M. Failure of a landmark to restrict spatial learning based on the shape of the environment. Quarterly Journal of Experimental Psychology Section B-Comparative and Physiological Psychology 57 4 (2004) 289-314
32. Hermer L., and Spelke E.S. A geometric process for spatial reorientation in young children. Nature 370 6484 (1994) 57-59
33. Herrnstein R.J. On the law of effect. Journal of the Experimental Analysis of Behavior 13 2 (1970) 243-266
34. Kelly D.M., Spetch M.L., and Heth C.D. Pigeons' (Columba livia) encoding of geometric and featural properties of a spatial environment. Journal of Comparative Psychology 112 3 (1998) 259-269
35. Learmonth A.E., Nadel L., and Newcombe N.S. Children's use of landmarks: Implications for modularity theory. Psychological Science 13 4 (2002) 337-341
36. Learmonth A.E., Newcombe N.S., and Huttenlocher J. Toddlers' use of metric information and landmarks to reorient. Journal of Experimental Child Psychology 80 3 (2001) 225-244
37. Learmonth A.E., Newcombe N.S., Sheridan N., and Jones M. Why size counts: children's spatial reorientation in large and small enclosures. Developmental Science 11 3 (2008) 414-426
38. Luce R.D. Individual choice behavior (1959), Wiley, New York
39. Luce R.D. A choice theory analysis of similarity judgments. Psychometrika 26 2 (1961) 151-163
40. Luce R.D. The choice axiom after 20 years. Journal of Mathematical Psychology 15 3 (1977) 215-233
41. Miller N.Y. Modeling the effects of enclosure size on geometry learning. Behavioural Processes 80 (2009) 306-313
42. Miller N.Y., and Shettleworth S.J. Learning about environmental geometry: An associative model. Journal of Experimental Psychology: Animal Behavior Processes 33 (2007) 191-212
43. Miller N.Y., and Shettleworth S.J. An associative model of geometry learning: A modified choice rule. Journal of Experimental Psychology-Animal Behavior Processes 34 3 (2008) 419-422
44. Newcombe N.S., and Ratliff K.R. Explaining the development of spatial reorientation: Modularity-plus-language versus the emergence of adaptive combination. In: Plumert J., and Spencer J. (Eds). The emerging spatial mind (2007), Oxford University Press, Oxford 53-76
45. Newell A. Production systems: Models of control structures. In: Chase W.G. (Ed). Visual information processing (1973), Academic Press, New York, NY 463-526
46. Newell A. Physical symbol systems. Cognitive Science 4 (1980) 135-183
47. Nolfi S. Power and limits of reactive agents. Neurocomputing 42 (2002) 119-145
48. Nolfi S., and Floreano D. Evolutionary robotics (2000), MIT Press, Cambridge, Mass.
49. Pearce J.M. Animal learning and cognition: an introduction (1997), Psychology Press, East Sussex
50. Pearce J.M. Evaluation and development of a connectionist theory of configural learning. Animal Learning and Behavior 30 2 (2002) 73-95
51. Pearce J.M., Good M.A., Jones P.M., and McGregor A. Transfer of spatial behavior between different environments: Implications for theories of spatial learning and for the role of the hippocampus in spatial learning. Journal of Experimental Psychology: Animal Behavior Processes 30 2 (2004) 135-147
52. Pearce J.M., Graham M., Good M.A., Jones P.M., and McGregor A. Potentiation, overshadowing, and blocking of spatial learning based on-the shape of the environment. Journal of Experimental Psychology-Animal Behavior Processes 32 3 (2006) 201-214
53. Pearce J.M., Ward-Robinson J., Good M., Fussell C., and Aydin A. Influence of a beacon on spatial learning based on the shape of the test environment. Journal of Experimental Psychology-Animal Behavior Processes 27 4 (2001) 329-344
54. Pfeifer R., and Scheier C. Understanding Intelligence (1999), MIT Press, Cambridge, MA
55. Pylyshyn Z.W. Computation and cognition (1984), MIT Press, Cambridge, MA
56. Ratliff K.R., and Newcombe N.S. Reorienting when cues conflict: Evidence for an adaptive-combination view. Psychological Science 19 12 (2008) 1301-1307
57. Rescorla R.A., and Wagner A.R. A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. In: Black A.H., and Prokasy W.F. (Eds). Classical conditioning II: current research and theory (1972), Appleton-Century-Crofts, New York, NY 64-99
58. Rosenblatt F. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review 65 6 (1958) 386-408
59. Rosenblatt F. Principles of neurodynamics (1962), Spartan Books, Washington
60. Rumelhart D.E., and McClelland J.L. Parallel distributed processing, V.1 (1986), MIT Press, Cambridge, MA
61. Shanks D.R. The psychology of associative learning (1995), Cambridge University Press, Cambridge, UK
62. Sovrano V.A., Bisazza A., and Vallortigara G. Modularity and spatial reorientation in a simple mind: encoding of geometric and nongeometric properties of a spatial environment by fish. Cognition 85 2 (2002) B51-B59
63. Sovrano V.A., Bisazza A., and Vallortigara G. Modularity as a fish (Xenotoca eiseni) views it: Conjoining geometric and nongeometric information for spatial reorientation. Journal of Experimental Psychology-Animal Behavior Processes 29 3 (2003) 199-210
64. Sovrano V.A., Bisazza A., and Vallortigara G. Animals' use of landmarks and metric information to reorient: effects of the size of the experimental space. Cognition 97 2 (2005) 121-133
65. Sovrano V.A., Bisazza A., and Vallortigara G. How fish do geometry in large and in small spaces. Animal Cognition 10 1 (2007) 47-54
66. Sovrano V.A., and Vallortigara G. Dissecting the geometric module: A sense linkage for metric and landmark information in animals' spatial reorientation. Psychological Science 17 7 (2006) 616-621
67. Stuerzl W., Cheung A., Cheng K., and Zeil J. The information content of panoramic images I: The rotational errors and the similarity of views in rectangular experimental arenas. Journal of Experimental Psychology-Animal Behavior Processes 34 1 (2008) 1-14
68. Sutton R.S., and Barto A.G. Toward a modern theory of adaptive networks: Expectation and prediction. Psychological Review 88 2 (1981) 135-170
69. Sutton R.S., and Barto A.G. Reinforcement learning (1998), MIT Press, Cambridge, MA
70. Thurstone L.L. The learning function. Journal of General Psychology 3 (1930) 469-493
71. Vallortigara G., Feruglio M., and Sovrano V.A. Reorientation by geometric and landmark information in environments of different size. Developmental Science 8 5 (2005) 393-401
72. Vallortigara G., Zanforlin M., and Pasti G. Geometric modules in animals spatial representations: A test with chicks (Gallus-Gallus-Domesticus). Journal of Comparative Psychology 104 3 (1990) 248-254
73. Wall P.L., Botly L.C.P., Black C.K., and Shettleworth S.J. The geometric module in the rat: Independence of shape and feature learning in a food finding task. Learning and Behavior 32 3 (2004) 289-298
74. Wystrach A., and Beugnon G. Ants learn geometry and features. Current Biology 19 1 (2009) 61-66