How to compare two quantities? A computational model of flutter discrimination

Journal of Cognitive Neuroscience

Volumn 19, Issue 3, 2007, Pages 409-419

  Verguts, Tom ^a,b  

^a GHENT UNIVERSITY   (Belgium)

^b Department of Psychology ^*  (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BEHAVIOR; COGNITION; MATHEMATICAL MODEL; NERVE STIMULATION; PERCEPTIVE DISCRIMINATION; PRIORITY JOURNAL; SOMATOSENSORY SYSTEM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION MAKING; DISCRIMINATION (PSYCHOLOGY); MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; PHOTIC STIMULATION; REPRODUCIBILITY OF RESULTS; TOUCH; VIBRATION;

EID: 33847785509     PISSN: 0898929X     EISSN: 15308898     Source Type: Journal    
DOI: 10.1162/jocn.2007.19.3.409     Document Type: Article

References (34)

1. Brody, C. D., Hernández, A., Zainos, A., & Romo, R. (2003). Timing and neural encoding of parametric working memory in macaque prefrontal cortex. Cerebral Cortex, 13, 1196-1207.
2. Buonomano, D. V., & Mauk, M. D. (1994). Neural network model of the cerebellum: Temporal discrimination and the timing of motor responses. Neural Computation, 6, 38-55.
3. Dehaene, S., Piazza, M., Pinel, P., & Cohen, L. (2003). Three parietal circuits for number processing. Cognitive Neuropsychology, 20, 487-506.
4. Ehrlich, D., Casseday, J. H., & Covey E. (1997). Neural tuning to sound duration in the inferior colliculus of the big brown bat, Eptesicus fuscus. Journal of Neurophysiology, 77, 2360-2372.
5. Hernández, A., Zainos, A., & Romo, R. (2002). Temporal evolution of a decision-making process in medial premotor cortex. Neuron, 33, 959-972.
6. Herz, J., Krogh, A., & Palmer, R. G. (1991). Introduction to the theory of neural computation. Redwood City, CA: Addison-Wesley.
7. Ivry, R. B., & Spencer, R. M. C. (2004). The neural representation of time. Current Opinion in Neurobiology, 14, 225-232.
8. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
9. Leon, M. I., & Shadlen, M. N. (2003). Representation of time by neurons in the posterior parietal cortex of the macaque. Neuron, 38, 317-327.
10. Machens, C. K., Romo, R., & Brody, C. K. (2005). Flexible control of mutual inhibition: A neural model of two-interval discrimination. Science, 307, 1121-1124.
11. Mauk, M. D., & Buonomano, D. V. (2004). The neural basis of temporal processing. Annual Review of Neuroscience, 27, 307-340.
12. McCloskey, M., & Cohen, N. (1989). Catastrophic interference in connectionist networks: The sequential learning problem. The Psychology of Learning and Motivation, 24, 109-164.
13. Medina, J. F., & Mauk, M. D. (2000). Computer simulation of cerebellar information processing. Nature Neuroscience, 3, 1205-1211.
14. Miller, P., Brody, C. D., Romo, R., & Wang, X. (2003). A recurrent network model of somatosensory parametric working memory in the prefrontal cortex. Cerebral Cortex, 13, 1208-1218.
15. Miller, P., & Wang, X. (2006). Inhibitory control by an integral feedback signal in prefrontal cortex: A model of discrimination between sequential stimuli. Proceedings of the National Academy of Sciences, U.S.A., 103, 201-206.
16. Minsky, M. L., & Papert, S. A. (1969). Perceptrons. Cambridge: MIT Press.
17. Nieder, A., Freedman, D. J., & Miller, E. K. (2002). Representation of the quantity of visual items in the primate prefrontal cortex. Science, 297, 1708-1711.
18. Nieder, A., & Miller, E. K. (2004). Analog numerical representations in rhesus monkeys: Evidence for parallel processing. Journal of Cognitive Neuroscience, 16, 889-901.
19. Poggio, T., & Edelman, S. (1990). A network that learns to recognize 3-D objects. Nature, 343, 263-266.
20. Pouget, A., Deneve, S., & Duhamel, J.-R. (2002). A computational perspective on the neural basis of multisensory spatial representations. Nature Reviews Neuroscience, 3, 741-747.
21. Rainer, G., & Miller, E. K. (2002). Timecourse of object-related neural activity in the primate prefrontal cortex during a short-term memory task. European Journal of Neuroscience, 15, 1244-1254.
22. Riesenhuber, M., & Poggio, T. (2000). Models of object recognition. Nature Neuroscience, 3, 1199-1204.
23. Rolls, E. T., & Millward, T. (2000). A model of invariant object recognition in the visual system: Learning rules, activation functions, lateral inhibition, and information-based measures. Neural Computation, 12, 2547-2572.
24. Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999). Neuronal correlates of parametric working memory in the prefrontal cortex. Nature, 399, 470-473.
25. Romo, R., Hernández, A., & Zainos, A. (2004). Neuronal correlates of a perceptual decision in ventral premotor cortex. Neuron, 41, 165-173.
26. Romo, R., Hernández, A., Zainos, A., Lemus, L., & Brody, C. D. (2002). Neuronal correlates of decision-making in secondary somatosensory cortex. Nature Neuroscience, 5, 1217-1225.
27. Romo, R., & Salinas, E. (2003). Flutter discrimination: Neural codes, perception, memory, and decision making. Nature Reviews Neuroscience, 4, 203-218.
28. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323, 533-536.
29. Salinas, E. (2004). Fast remapping of sensory stimuli onto motor actions on the basis of contextual information. The Journal of Neuroscience, 24, 1113-1118.
30. Singh, R., & Eliasmith, C. (2006). Higher-dimensional neurons explain the tuning and dynamics of working memory cells. The Journal of Neuroscience, 26, 3667-3678.
31. Usher, M., & McClelland, J. L. (2001). The time course of perceptual choice: The leaky, competing accumulator model. Psychological Review, 108, 550-592.
32. Verguts, T., Ameel, E., & Storms, G. (2004). Measures of similarity in models of categorization. Memory & Cognition, 32, 179-189.
33. Verguts, T., & Fias, W. (2004). Numerical representations in animals and humans: A neural model. Journal of Cognitive Neuroscience, 16, 1493-1504.
34. Verguts, T., Fias, W., & Stevens, M. (2005). A model of exact small-number representation. Psychonomic Bulletin & Review, 12, 66-80.