Deciphering Cortical Number Coding from Human Brain Activity Patterns

Current Biology

Volumn 19, Issue 19, 2009, Pages 1608-1615

  Eger, Evelyn ^a,b,c   Michel, Vincent ^b,c,d   Thirion, Bertrand ^b,d   Amadon, Alexis ^b,e   Dehaene, Stanislas ^a,b,c   Kleinschmidt, Andreas ^a,b,c  

^a INSERM U562 ^*  (France)

^b DIF   (France)

^c UNIVERSITÉ PARIS SACLAY   (France)

^d INRIA   (France)

^e Direction des Sciences du Vivant   (France)

Author keywords

SYSNEURO

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; COGNITION; HUMAN; IMAGE PROCESSING; MATHEMATICAL PHENOMENA; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PARIETAL LOBE; PHYSIOLOGY; REGRESSION ANALYSIS;

ANALYSIS OF VARIANCE; COGNITION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MATHEMATICAL CONCEPTS; PARIETAL LOBE; REGRESSION ANALYSIS;

MACACA;

EID: 70349778255     PISSN: 09609822     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cub.2009.08.047     Document Type: Article

References (45)

1. Feigenson L., Dehaene S., and Spelke E. Core systems of number. Trends Cogn. Sci. 8 (2004) 307-314
2. Ansari D. Effects of development and enculturation on number representation in the brain. Nat. Rev. Neurosci. 9 (2008) 278-291
3. Dehaene S., Piazza M., Pinel P., and Cohen L. Three parietal circuits for number processing. Cogn. Neuropsychol. 20 (2003) 487-506
4. Gruber O., Indefrey P., Steinmetz H., and Kleinschmidt A. Dissociating neural correlates of cognitive components in mental calculation. Cereb. Cortex 11 (2001) 350-359
5. Eger E., Sterzer P., Russ M.O., Giraud A.-L., and Kleinschmidt A. A supramodal number representation in human intraparietal cortex. Neuron 37 (2003) 719-725
6. Pinel P., Piazza M., Le Bihan D., and Dehaene S. Distributed and overlapping cerebral representations of number, size, and luminance during comparative judgements. Neuron 41 (2004) 983-993
7. Fias W., Lammertyn J., Caessens B., and Orban G.A. Processing of abstract ordinal knowledge in the horizontal segment of the intraparietal sulcus. J. Neurosci. 27 (2007) 8952-8956
8. Nieder A. Counting on neurons: The neurobiology of numerical competence. Nat. Rev. Neurosci. 6 (2005) 177-190
9. Tudusciuc O., and Nieder A. Neuronal population coding of continuous and discrete quantity in the primate posterior parietal cortex. Proc. Natl. Acad. Sci. USA 104 (2007) 14513-14518
10. Moyer R.S., and Landauer T.K. Time required for judgements of numerical inequality. Nature 215 (1967) 1519-1520
11. Piazza M., Izard V., Pinel P., Le Bihan D., and Dehaene S. Tuning curves for approximate numerosity in the human intraparietal sulcus. Neuron 44 (2004) 547-555
12. Izard V., and Dehaene S. Calibrating the mental number line. Cognition 106 (2008) 1221-1247
13. Pinel P., Dehaene S., Rivière D., and LeBihan D. Modulation of parietal activation by semantic distance in a number comparison task. Neuroimage 14 (2001) 1013-1026
14. Van Opstal F., Gevers W., De Moor W., and Verguts T. Dissecting the symbolic distance effect: Comparison and priming effects in numerical and nonnumerical orders. Psychon. Bull. Rev. 15 (2008) 419-425
15. Norman K.A., Polyn S.M., Detre G.J., and Haxby J.V. Beyond mind-reading: Multi-voxel pattern analysis of fMRI data. Trends Cogn. Sci. 10 (2006) 424-430
16. Haynes J.-D., and Rees G. Decoding mental states from brain activity in humans. Nat. Rev. Neurosci. 7 (2006) 523-534
17. Kamitani Y., and Tong F. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8 (2005) 679-685
18. Haynes J.-D., and Rees G. Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nat. Neurosci. 8 (2005) 686-691
19. Kamitani Y., and Tong F. Decoding seen and attended motion directions from activity in the human visual cortex. Curr. Biol. 16 (2006) 1096-1102
20. Eger E., Kell C.A., and Kleinschmidt A. Graded size sensitivity of object-exemplar-evoked activity patterns within human LOC subregions. J. Neurophysiol. 100 (2008) 2038-2047
21. Kriegeskorte N., Formisano E., Sorger B., and Goebel R. Individual faces elicit distinct response patterns in human anterior temporal cortex. Proc. Natl. Acad. Sci. USA 104 (2007) 20600-20605
22. Formisano E., De Martino F., Bonte M., and Goebel R. "Who" is saying "what"? Brain-based decoding of human voice and speech. Science 322 (2008) 970-973
23. Mitchell T.M., Shinkareva S.V., Carlson A., Chang K.-M., Malave V.L., Mason R.A., and Just M.A. Predicting human brain activity associated with the meanings of nouns. Science 320 (2008) 1191-1195
24. Albright T.D., Desimone R., and Gross C.G. Columnar organization of directionally selective cells in visual area MT of the macaque. J. Neurophysiol. 51 (1984) 16-31
25. Fujita I., Tanaka K., Ito M., and Cheng K. Columns for visual features of objects in monkey inferotemporal cortex. Nature 360 (1992) 343-346
26. Kriegeskorte N., Goebel R., and Bandettini P. Information-based functional brain mapping. Proc. Natl. Acad. Sci. USA 103 (2006) 3863-3868
27. Verguts T., and Fias W. Representation of number in animals and humans: A neural model. J. Cogn. Neurosci. 16 (2004) 1493-1504
28. Shuman M., and Kanwisher N. Numerical magnitude in the human parietal lobe; tests of representational generality and domain specificity. Neuron 44 (2004) 557-569
29. Piazza M., Pinel P., Le Bihan D., and Dehaene S. A magnitude code common to numerosities and number symbols in human intraparietal cortex. Neuron 53 (2007) 293-305
30. Cohen Kadosh R., Cohen Kadosh K., Kaas A., Henik A., and Goebel R. Notation-dependent and -independent representations of numbers in the parietal lobes. Neuron 53 (2007) 307-314
31. Krekelberg B., Boynton G.M., and van Wezel R.J. Adaptation: From single cells to BOLD signals. Trends Neurosci. 29 (2006) 250-256
32. Drucker D.M., and Aguirre G.K. Different spatial scales of shape similarity representation in lateral and ventral LOC. Cereb. Cortex. (2009) 10.1093/cercor/bhn244 Published online January 28, 2009
33. Freedman D.J., Riesenhuber M., Poggio T., and Miller E.K. A comparison of primate prefrontal and inferior temporal cortices during visual categorization. J. Neurosci. 23 (2003) 5235-5246
34. Diester I., and Nieder A. Semantic associations between signs and numerical categories in the prefrontal cortex. PLoS Biol. 5 (2007) e294
35. Butterworth B. The Mathematical Brain (1999), Macmillan, London
36. Dehaene S. Symbols and quantities in parietal cortex: Elements of a mathematical theory of number representation and manipulation. In: Haggard P., Rossetti Y., and Kawato M. (Eds). Sensorimotor Foundations of Higher Cognition (2007), Harvard University Press, Cambridge, MA 527-574
37. Fias W., Lammertyn J., Reynvoet B., Dupont P., and Orban G.A. Parietal representation of symbolic and nonsymbolic magnitude. J. Cogn. Neurosci. 15 (2003) 47-56
38. Venkatraman V., Ansari D., and Chee M.W. Neural correlates of symbolic and non-symbolic arithmetic. Neuropsychologia 43 (2005) 744-753
39. Santens S., Roggeman C., Fias W., and Verguts T. Number processing pathways in human parietal cortex. Cereb. Cortex (2009) 10.1093/cercor/bhp080 Published online May 8, 2009
40. Roitman J.D., Brannon E.M., and Platt M.L. Monotonic coding of numerosity in macaque lateral intraparietal area. PLoS Biol. 5 (2007) e208
41. Nieder A., Diester I., and Tudusciuc O. Temporal and spatial enumeration processes in the primate parietal cortex. Science 313 (2006) 1431-1435
42. Hubbard E.M., Piazza M., Pinel P., and Dehaene S. Interactions between number and space in parietal cortex. Nat. Rev. Neurosci. 6 (2005) 435-448
43. Dehaene S., Izard V., Spelke E., and Pica P. Log or linear? Distinct intuitions of the number scale in Western and Amazonian indigene cultures. Science 320 (2008) 1217-1220
44. Christianini N., and Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods (2000), Cambridge University Press, Cambridge
45. Van Essen D.C. A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex. Neuroimage 28 (2005) 635-662