Doing cognitive neuroscience: A third way

Synthese

Volumn 153, Issue 3, 2006, Pages 377-391

  Egan, Frances ^a   Matthews, Robert J ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

Bottom up approach to neuroscience; Dynamic causal modeling; Neural connectivity; Neural dynamic systems; Neural structural functional relations; Neuroscientific cognitive modelling; Top down approach to neuroscience

Indexed keywords

EID: 33751541918     PISSN: 00397857     EISSN: 15730964     Source Type: Journal    
DOI: 10.1007/s11229-006-9098-9     Document Type: Article

References (26)

1. Bard, J. B., & Rhee, S. J. (2004). Ontologies in biology: Design, applications, and future challenges. Nature. Reviews: Genetics, 5, 213-222.
2. Barlow, H. B. (1972). Single units and sensation: A neuron doctrine for perceptual psychology? Perception, 1, 371-394.
3. Bickle, J. (1998). Psychoneural reduction: The new wave. Cambridge, MA: MIT Press.
4. Buchel, C., & Friston, K. J. (1997). Modulation of connectivity in visual pathways by attention: Cortical interactions evaluated with structural equation modeling and fMRI. Cerebral Cortex, 7, 768-778.
5. Burchfield, J. D. (1990). Lord Kelvin and the age of the earth. Chicago: University of Chicago Press.
6. Frisch, K. J. (1967). The dance-language and orientation of bees. Cambridge, MA: Harvard University Press.
7. Friston, K. J. (2003). Dynamic causal models. In R. S. J. Frackowiak, K. J. Friston, C. Firth, R. Dolan, C. J. Price, S. Zeki, J. Ashburner, & W. D. Penny (Eds.), Human brain function (2nd ed.). Academic Press.
8. Friston, K. J., & Buchel, C. (2000). Attentional modulation of effective connectivity from V2 to V5/MT in humans. Proceedings of the National Academy of Science USA, 97, 7591-7596.
9. Friston, K. J., Harrison, L., & Penny, W. (2003). Dynamic causal modeling. Neuroimage, 19, 1273-1302.
10. Gallistel, R. C. (2006). The nature of learning and the functional architecture of the brain. In Q. Jing et al. (Eds.), Psychological science around the world, Vol. I, Proceedings of the 28th international congress of psychology (pp. 63-71). Sussex: Psychology Press.
11. Hamzei, F., Rijntjes, M., Dettmers, C., Glauche, V., Weiller, C., & Buchel, C. (2003). The human action recognition system and its relationship to Broca's area: An fMRI study. Neuroimage, 19, 637-644.
12. Haugeland, J. (1978). The nature and plausibility of cognitivism. Behavioral and Brain Sciences, 1, 215-226.
13. Reprinted in J. Haugeland (Ed.), (1981) Mind design (pp. 243-281). Cambridge, MA: MIT Press.
14. Hornik, K., Stinchcombe, M., & White, H. (1989). Multilayer feedforward networks are universal approximators. Neural Networks, 2, 359-366.
15. Judson, H. (1980). The eighth day of creation. New York: Simon and Schuster.
16. Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2006). Dynamic causal modeling for fMRI: Extending the generative model. Presented at the Rutgers Conference on Philosophical Foundations of Neuroimaging, April 2006. 〈http://www.philosophy.rutgers.edu/EVENTS/NEUROIMAGING/kiebell.pdf〉
17. Li, W., Piech, V., & Gilbert, C. D. (2004). Perceptual learning and top-down influences in primary visual cortex. Nature Neuroscience, 7, 651-657.
18. Lomber, S. G., Payne, B. R., Hildetag, C. C., & Rushmore, J. (2002). Restoration of visual orienting into a cortically blind hemifield by reversible deactivation of posterior parietal cortex or the superior colliculus. Experimental Brain Research, 142, 463-474.
19. Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997). Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. Journal of Neurophysiology, 77, 24-42.
20. Manjaly, Z. M., Marshall. J. C., Stephan, K. E., Gurd, J. M., Zilles, K., & Fink, G. R. (2003). In search of the hidden: An fMRI study with implications for the study of patients with autism and with acquired brain injury. Neuroimage, 19, 674-683.
21. Marr, D. (1974). The computation of lightness by the primate retina. Vision Research, 14, 1377-1388.
22. Marr, D. (1982). Vision. New York: Freeman.
23. Marr, D., & Nishihara, K., (1978). Visual information processing: Artificial intelligence and the sensorium of sight. Technology Review, October, 28-48.
24. Poldrack, R. A., Parker, D. S., & Bilder, R. M. (2006). How can neuroimaging relate cognitive and neural processes? Presented at the Rutgers Conference on Philosophical Foundations of Neuroimaging, April 2006. http://www.philosophy.rutgers.edu/EVENTS/NEUROIMAGING/poldrack.pdf
25. Sprague, J. M. (1966). Interaction of cortex and superior colliculus in mediation of visually guided behavior in the cat. Science, 153, 1544-1547.
26. van Gelder, T. (1997). Dynamics and cognition. In J. Haugeland (Ed.), Mind design (pp. 421-450). Cambridge, MA: MIT Press.