The packet switching brain

Journal of Cognitive Neuroscience

Volumn 23, Issue 2, 2011, Pages 267-269

  Graham, Daniel ^a   Rockmore, Daniel ^a  

^a Dartmouth College   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN FUNCTION; COGNITION; COMPUTER; EYE MOVEMENT; HUMAN; INFORMATION PROCESSING; INFORMATION TECHNOLOGY; INTERNET; INTERPERSONAL COMMUNICATION; MAMMAL; MEMORY; NEOCORTEX; PERCEPTION; PRIORITY JOURNAL; REVIEW; SPEECH; THINKING;

ANIMALS; BRAIN; HUMANS; INTERNET; METAPHOR; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONS;

EID: 78650086680     PISSN: 0898929X     EISSN: 15308898     Source Type: Journal    
DOI: 10.1162/jocn.2010.21477     Document Type: Review

References (52)

1. Amaral, L. A. N., Scala, A., Barthelemy, M., & Stanley, H. E. (2000). Classes of small-world networks. Proceedings of the National Academy of Sciences, U.S.A., 97, 11149-11152.
2. Attneave, F. (1954). Some informational aspects of visual perception. Psychological Review, 61, 183-193.
3. Attwell, D., & Laughlin, S. B. (2001). An energy budget for signaling in the grey matter of the brain. Journal of Cerebral Blood Flow and Metabolism, 21, 1133-1145.
4. Baddeley, R., Abbott, L. F., Booth, M. C., Sengpiel, F., Freeman, T., Wakeman, E. A., et al. (1997). Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proceedings of the Royal Society of London, Series B, Biological Sciences, 264, 1775-1783.
5. Ballard, D., Hayhoe, M., Pook, P., & Rao, R. (1997). Deictic codes for the embodiment of cognition. Behavioral and Brain Sciences, 20, 723-767.
6. Baran, P. (1964). On distributed communications. RAND series reports.
7. Barlow, H. B. (1961). Possible principles underlying the transformation of sensory messages. In W. A. Rosenblith (Ed.), Sensory communication (pp. 217-234). Cambridge, MA: MIT Press.
8. Börner, K., Sanyal, S., & Vespignani, A. (2007). Network science. In B. Cronin (Eds.), Annual review of information science & technology (Vol. 41, Chap. 12, pp. 537-607). Medford, NJ: Information Today, Inc./American Society for Information Science and Technology.
9. Changizi, M. A. (2006). Scaling the brain and its connections. In J. H. Kaas (Ed.), Evolution of nervous systems (Vol. 3, pp. 167-180). Oxford: Elsevier.
10. Davies, D. W. (1968). The principles of data communication networks for computers and remote peripherals. Proceedings of the IFIP Congress 68, Edinburgh, Scotland, pp. 709-714.
11. Felleman, D. J., & Van Essen, D. C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, 1, 1-47.
12. Field, D. J. (1994). What is the goal of sensory coding? Neural Computation, 6, 559-601.
13. Finlay, B. L., & Darlington, R. B. (1995). Linked regularities in the development and evolution of mammalian brains. Science, 268, 1578-1584.
14. Finlay, B. L., Darlington, R. B., & Nicastro, N. (2001). Developmental structure in brain evolution. Behavioral and Brain Sciences, 24, 263-308.
15. Friedenberg, J. (2009). Dynamical psychology. Litchfield, AZ: ISCE Publishing.
16. Fries, P. (2005). A mechanism for cognitive dynamics: Neuronal communication through neuronal coherence. Trends in Cognitive Sciences, 9, 474-480.
17. Gillies, J., & Cailliau, R. (2000). How the Web was born. Oxford: Oxford University Press.
18. Gollisch, T., & Meister, M. (2010). Eye smarter than scientists believed: Neural computations in circuits of the retina. Neuron, 65, 150-164.
19. Graham, D. J., & Field, D. J. (2006). Sparse coding in the neocortex. In J. H. Kaas & L. A. Krubitzer (Eds.), Evolution of nervous systems (Vol. 3, pp. 181-187). The Netherlands: Elsevier.
20. Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989). Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature, 338, 334-337.
21. Griffiths, T. L., Steyvers, M., & Firl, A. (2007). Google and the mind. Psychological Science, 18, 1069-1076.
22. Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293, 24-30. (Pubitemid 32917318)
23. Hofman, M. A. (2000). Brain evolution in hominids: Are we at the end of the road? In D. Falk & K. Gibson (Eds.), Evolutionary anatomy of the primate cerebral cortex (pp. 113-127). Cambridge, UK: Cambridge University Press.
24. Holloway, R. C. (1996). Evolution of the human brain. In A. Lock & C. Peters (Eds.), Handbook of human symbolic evolution (Chap. 4, pp. 74-116). New York: Oxford University Press.
25. Kay, K. N., & Gallant, J. L. (2009). I can see what you see. Nature Neuroscience, 12, 245-246.
26. Kleinrock, L. (1976). Queueing systems: Vol II. Computer applications. New York: Wiley.
27. Lennie, P. (2003). The cost of cortical computation. Current Biology, 13, 493-497.
28. Marr, D. (1980). Vision. San Francisco, CA: Freeman.
29. Möller, C., Lücke, J., Zhu, J., Faustmann, P. M., & von der Malsburg, C. (2007). Glial cells for information routing? Cognitive Systems Research, 8, 28-35.
30. Olshausen, B. A., Anderson, C. H., & Van Essen, D. C. (1993). A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. Journal of Neuroscience, 13, 4700-4719.
31. Olshausen, B. A., & Field, D. J. (2005). How close are we to understanding V1? Neural Computation, 17, 1665-1699.
32. O'Reilly, R. C. (2006). Biologically based computational models of high-level cognition. Science, 314, 91-94.
33. Reinagel, P. (2000). Information theory in the brain. Current Biology, 10, R542-R544.
34. Rieke, F. M., Warland, D. K., de Ruyter van Steveninck, R., & Bialek, W. (1997). Spikes: Exploring the neural code. Cambridge, MA: MIT Press.
35. Roberts, L. G. (1967). Multiple computer networks and inter-computer communications. Proceedings of the ACM Symposium on Operating Systems Principles. New York: ACM.
36. Searle, J. (1980). Minds, brains and programs. Behavioral and Brain Sciences, 3, 417-457.
37. Sejnowski, T. J. (2006). What are the projective fields of cortical neurons? In J. L. van Hemmen & T. J. Sejnowski (Eds.), 23 Problems in systems neuroscience (pp. 394-405). New York: Oxford University Press.
38. Spivey, M. (2008). The continuity of mind. New York: Oxford University Press.
39. Sporns, O., Chialvo, D., Kaiser, M., & Hilgetag, C. C. (2004). Organization, development and function of complex brain networks. Trends in Cognitive Sciences, 8, 418-425.
40. Sporns, O., & Kotter, R. (2004). Motifs in brain networks. PLoS Biology, 2, 1910-1918.
41. Sporns, O., Tononi, G., & Kotter, R. (2005). The human connectome: A structural description of the human brain. PLoS Computational Biology, 1, e42.
42. Sporns, O., & Zwi, J. (2004). The small world of the cerebral cortex. Neuroinformatics, 2, 145-162.
43. Van Rullen, R., Guyonneau, R., & Thorpe, S. J. (2005). Spike times make sense. Trends in Neurosciences, 28, 1-4.
44. Vogels, T., & Abbott, L. F. (2009). Gating multiple signals through detailed balance of excitation and inhibition in spiking networks. Nature Neuroscience, 12, 483-491.
45. Vul, E., Harris, C., Winkielman, P., & Pashler, H. (2009). Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition (The paper formerly known as "Voodoo correlations in social neuroscience"). Perspectives on Psychological Science, 4, 274-290.
46. Waydo, S., Kraskov, A., Quian Quiroga, R., Fried, I., & Koch, C. (2006). Sparse representation in the human medial temporal lobe. Journal of Neuroscience, 26, 10232-10234.
47. Weiss, T., Miltner, W. H., Liepert, J., Meissner, W., & Taub, E. (2004). Rapid functional plasticity in the primary somatomotor cortex and perceptual changes after nerve block. European Journal of Neuroscience, 20, 3413-3423.
48. Willmore, B., & Tolhurst, D. J. (2001). Characterizing the sparseness of neural codes. Network: Computation in Neural Systems, 12, 255-270.
49. Wiskott, L. (2006). How does our visual system achieve shift and size invariance? In J. L. van Hemmen & T. J. Sejnowski (Eds.), 23 Problems in systems neuroscience (pp. 322-342). New York: Oxford University Press.
50. Wiskott, L., & von der Malsburg, C. (1996). Face recognition by dynamic link matching. In J. Sirosh, R. Miikkulainen, & Y. Choe (Eds.), Lateral interactions in the cortex: Structure and function. Austin, TX: The UTCS Neural Networks Research Group, electronic book. See http://userweb.cs.utexas. edu/~nn/web-pubs/htmlbook96/.
51. Yarkoni, T. (2009). Big correlations in little studies: Inflated fMRI correlations reflect low statistical power. Commentary on Vul et al. (2009). Perspectives on Psychological Science, 4, 294-298.
52. Zhang, Z., & Ballard, D. H. (2001). Distributed synchrony. Journal of Neurocomputing, 44-46C, 715-720.