Functional imaging and neural information coding

NeuroImage

Volumn 21, Issue 3, 2004, Pages 1083-1095

  Nevado, Angel ^a   Young, Malcolm P ^a   Panzeri, Stefano ^b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

BOLD; fMRI; Information theory; Population coding

Indexed keywords

ARTICLE; BRAIN DEPTH STIMULATION; MATHEMATICAL ANALYSIS; NERVE CONDUCTION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SENSORY CORTEX; THEORETICAL MODEL;

ALGORITHMS; BRAIN CHEMISTRY; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; HUMANS; MAGNETIC RESONANCE IMAGING; MENTAL PROCESSES; MODELS, NEUROLOGICAL; NEURONS; OXYGEN; SOMATOSENSORY CORTEX;

EID: 1542316119     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2003.10.043     Document Type: Article

References (46)

1. Albright T.D. Direction and orientation selectivity of neurons in visual area MT of the macaque. J. Neurophysiol. 52:1984;1106-1130.
2. Albright T.D., Desimone R., Gross C.G. Columnar organization of directionally selective cells in visual area MT of the macaque. J. Neurophysiol. 51:1984;16-31.
3. Almeida R., Stetter M. Modeling the link between neuroimaging and neuronal activity: synaptic metabolic demand and spike rates. NeuroImage. 17:2002;1065-1079.
4. Borst A., Theunissen F.E. Information theory and neural coding. Nat. Neurosci. 2:1999;947-958.
5. Boynton G.M., Demb J.B., Glover G.H., Heeger D.J. Neuronal basis of contrast discrimination. Vis. Res. 39:1999;257-269.
6. Britten K., Shadlen M.N., Newsome W.T., Movshon J.A. The analysis of visual-motion - A comparison of neuronal and psychophysical performance. J. Neurosci. 12:1992;4745-4765.
7. Brunel N., Nadal J.P. Mutual information, fisher information and population coding. Neural Comput. 10:1998;1731-1757.
8. Chawla D., Lumer E., Friston K. The relationship between synchronization among neuronal populations and their mean activity levels. Neural Comput. 11:1999;1389-1411.
9. Chawla D., Lumer E., Friston K. Relating macroscopic measures of brain activity to fast, dynamic neuronal interactions. Neural Comput. 12:2000;2805-2821.
10. Cover T., Thomas J. Elements of Information Theory. 1991;Wiley, New York.
11. de Araujo D.B., Tedeschi W., Santos A.C., Elias J. Jr., Neves U., Baffa O. Shannon entropy applied to the analysis of event-related fMRI time series. NeuroImage. 20:2003;311-317.
12. Friston K. Experimental design and statistical issues. Mazziotta J.C.et al. Brain Mapping: The Disorders. 2000;33-56 Academic Press, San Diego.
13. Friston K., Frith C., Passingham R., Dolan R., Liddle P., Frackowiak R. Entropy and cortical activity: information theory and PET findings. Cereb. Cortex. 2:1992;259-267.
14. Friston K., Mechelli A., Turner R., Price C. Nonlinear responses in fMRI: baloon models, volterra kernels and other hemodynamics. NeuroImage. 12:2000;466-477.
15. Geisler W.S., Albretch D.G. Visual cortex neurons in monkeys and cats: detection, discrimination and identification. Vis. Neurosci. 14:1997;897-919.
16. Grinvald A., Lieke E., Frostig R., Gilbert C., Wiesel T. Functional architecture of cortex revealed by optical imaging of intrinsic signals. Nature. 324:1986;361-364.
17. Heeger D., Huck A., Geisler W., Albrecht D. Spikes versus BOLD: what does neuroimaging tell us about neuronal activity? Nat. Neurosci. 3:2000;631-633.
18. Hyder F., Rothman D.L., Shulman R.G. Total neuroenergetics supports localized brain activity: implications for the interpretation of fMRI. Proc. Natl. Acad. Sci. U. S. A. 99:2002;10771-10776.
19. Lauritzen M., Gold L. Brain function and neurophysiological correlates of signals used in functional neuroimaging. J. Neurosci. 23:2003;3972-3980.
20. Logothetis N. The underpinnings of the BOLD functional magnetic resonance imaging signal. J. Neurosci. 23:2003;3963-3971.
21. Logothetis N., Pauls J., Trinath M.A.T., Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature. 412:2001;150-157.
22. Martindale J., Mayhew J., Berwick J., Jones M., Martin C., Johnston D., Redgrave P., Zheng Y. The hemodynamic impulse response to a single neural event. J. Cereb. Blood Flow Metab. 23:2003;546-555.
23. Mountcastle V.B. The columnar organization of neocortex. Brain. 120:1997;701-722.
24. Nevado A., Young M.P., Panzeri S. Comparing the information encoded by different brain areas with functional imaging techniques. Lect. Notes Comput. Sci. 2415:2002;105-110.
25. Nevado A., Young M.P., Panzeri S. Functional imaging and neuronal information processing. Neurocomputing. 44-46:2002;1127-1131.
26. Nirenberg S., Carcieri S.M., Jacobs A., Latham P.E. Retinal ganglion cells act largely as independent encoders. Nature. 411:2001;698-701.
27. Optican L.M., Richmond B.J. Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex: III. Information theoretic analysis. J. Neurophysiol. 57:1987;162-178.
28. Oram M.W., Hatsopoulos N., Richmond B., Donoghue J. Excess synchrony in motor cortical neurons provides redundant direction information with that from coarse temporal measures. J. Neurophysiol. 86:2001;1700-1716.
29. Panzeri S., Petersen R., Schultz S., Lebedev M., Diamond M. The role of spike timing in the coding of stimulus location in rat somatosensory cortex. Neuron. 29:2001;769-777.
30. Panzeri S., Petroni F., Petersen R., Diamond M. Decoding neuronal population activity in rat somatosensory cortex: role of columnar organization. Cereb. Cortex. 13:2003;45-52.
31. Petersen R.S., Panzeri S., Diamond M. Population coding of stimulus location in rat somatosensory cortex. Neuron. 32:2001;503-514.
32. Raichle M. BOLD insights. Nature. 412:2001;128-130.
33. Recanzone G.H., Guard D.C., Phan M.L. Frequency and intensity response properties of single neurons in the auditory cortex of the behaving macaque monkey. J. Neurophysiol. 83:2000;2315-2331.
34. Rees G., Friston K., Koch C. A direct quantitative relationship between the functional properties of human and macaque V5. Nat. Neurosci. 3:2000;716-723.
35. Reich D.S., Mechler F., Victor J.D. Independent and redundant information in nearby cortical neurons. Science. 294:2001;2566-2568.
36. Richmond B.J. Information coding. Science. 294:2001;2493-2494.
37. Scannell J., Young M. Neuronal population activity and functional imaging. Proc. R. Soc. B. 266:1999;875-881.
38. Shadlen M.N., Newsome W.T. The variable discharge of cortical neurons: implications for connectivity, computation and coding. J. Neurosci. 18(10):1998;3870-3896.
39. Smith A.J., Blumenfeld H., Behar K., Rothman D.L., Shulman R.G. Cerebral energetics and spike frequency: the neurophysiological basis of fMRI. Proc. Natl. Acad. Sci. U. S. A. 99:2002;10765-10770.
40. Stein R. The information capacity of nerve cells using a frequency code. Biophys. J. 7:1967;797-826.
41. Swindale N.V., Grinvald A., Shmuel A. The spatial pattern of response magnitude and selectivity for orientation and direction in cat visual cortex. Cereb. Cortex. 13:2003;225-238.
42. Vanduffel W., Tootell R.B.H., Schoups A.A., Orban G.A. The organization of orientation selectivity throughout macaque visual cortex. Cereb. Cortex. 12:2002;647-662.
43. Victor J.D., Purpura K.P. Nature and precision of temporal coding in visual cortex: a metric space analysis. J. Neurophysiol. 76:1996;1310-1326.
44. Wandell B. Computational neuroimaging of human visual cortex. Annu. Rev. Neurosci. 22:1999;145-173.
45. Weliky X.M., Bosking W.H., Fitzpatrick D. A systematic map of direction preference in primary visual cortex. Nature. 379(6567):1996;725-728.
46. Zhang K., Sejnowski T. Neuronal tuning: to sharpen or to broaden? Neural Comput. 11:1999;75-84.