A test of metabolically efficient coding in the retina

Network: Computation in Neural Systems

Volumn 13, Issue 4, 2002, Pages 531-552

  Balasubramanian, Vijay ^a   Berry II, Michael J ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; AMBYSTOMA; ANIMAL; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; ELECTROPHYSIOLOGY; ENERGY METABOLISM; GROWTH, DEVELOPMENT AND AGING; IN VITRO STUDY; LARVA; METABOLISM; PHOTOSTIMULATION; PHYSIOLOGY; RETINA GANGLION CELL; VISUAL SYSTEM;

ACTION POTENTIALS; AMBYSTOMA; ANIMALS; ARTIFACTS; ELECTROPHYSIOLOGY; ENERGY METABOLISM; GROWTH AND DEVELOPMENT; LARVA; METABOLISM; MODELS, NEUROLOGICAL; PHOTIC STIMULATION; PHYSIOLOGY; RETINAL GANGLION CELLS; VISUAL PATHWAYS;

EID: 0041917614     PISSN: 0954898X     EISSN: None     Source Type: Journal    
DOI: 10.1088/0954-898X_13_4_306     Document Type: Article

References (40)

1. Ames A 1992 3rd energy requirements of CNS cells as related to their function and to their vulnerability to ischemia: a commentary based on retina Can. J. Physiol. Pharmacol. 70 S158-64
2. Ames A 2000 3rd CNS energy metabolism as related to function Brain Res. Rev. 34 42-68
3. Arimoto S 1972 An algorithm for computing the capacity of an arbitrary discrete memoryless channel IEEE Trans. Inf. Theory 18 14-20
4. Atick J J 1992 Could information theory provide an ecological theory of sensory processing? Network: Comput. Neural Syst. 3 213-51
5. Atwell D and Laughlin S B 2001 An energy budget for signalling the grey matter of the brain J. Cereb. Blood Flow Metab. 21 1133-45
6. Baddeley R J 1996 An efficient code in V1? Nature 381 560-1
7. Baddeley R, Abbott L F, Booth M C A, Sengpiel F, Freeman T, Wakeman E A and Rolls E T 1997 Responses of neurons in primary and inferior temporal visual cortices to natural scenes Proc. R. Soc. B 264 1775-83
8. Balasubramanian V, Kimber D and Berry M J 2001 Metabolically efficient information processing Neural Comput. 13 799-816
9. Barlow H B 1961 Possible principles underlying the transformation of sensory messages Sensory Communication ed W A Rosenblith (Cambridge, MA: MIT Press) pp 217-34
10. Barlow H B 2001 Redundancy reduction revisited Network: Comput. Neural Syst. 12 241-53
11. Berry M J II, Warland D W and Meister M 1997 The structure and precision of retinal spike trains Proc. Natl Acad. Sci. USA 94 5411-16
12. Berry M J II and Meister M 1998 Refractoriness and neural precision J. Neurosci. 18 2200-11
13. Blahut R E 1972 Computation of channel capacity and rate distortion functions IEEE Trans. Inf. Theory 18 460-73
14. Blahut RE 1987 Principles and Practice of Information Theory (Reading, MA: Addison-Wesley)
15. Buracas G T, Zador A M, deWeese M R and Albright T D 1998 Efficient discrimination of temporal patterns by motion-sensitive neurons in the primate visual cortex Neuron 20 959-69
16. de Polavieja G G 2002 Errors drive the evolution of biological signalling to costly codes J. Theor. Biol. 214 657-64
17. de Ruyter van Steveninck R R, Lewen G D, Strong S P, Koberle R and Bialek W 1997 Reproducibility and variability in neural spike trains Science 275 1805-8
18. Fanselow E E and Nicolelis M A L 1999 Behavioral modulation of tactile responses in the rat somatosensory system J. Neurosci. 19 7603-16
19. Fohlmeister J F and Miller R F 1997 Impulse encoding mechanisms of ganglion cells in the tiger salamander retina J. Neurophysiol. 78 1935-47
20. Gillespie J H 1998 Population Genetics: A Concise Guide (Baltimore, MD: Johns Hopkins University Press)
21. Kara P, Reinagel P and Reid R C 2000 Low response variability in simultaneously recorded retinal, thalamic, and cortical neurons Neuron 27 635-46
22. Keat J, Reinagel P, Reid R C and Meister M 2001 Predicting every spike: a model for the responses of visual neurons Neuron 30 803-17
23. Laughlin S B, de Ruyter van Steveninck R and Anderson J C 1998 The metabolic cost of neural information Nature Neurosci. 1 36-41
24. Levy W B and Baxter R A 1996 Energy-efficient neural codes Neural Comput. 8 531-43
25. McIlwain H and Bachelard H S 1985 Biochemistry and the Central Nervous System 5th edn (London: Churchill Livingstone)
26. Meister M and Berry M J II 1999 The neural code of the retina Neuron 22 435-50 (review)
27. Meister M, Pine J and Baylor D A 1994 Multi-neuronal signals from the retina: acquisition and analysis J. Neurosci. Methods 51 95-106
28. Reinagel P and Reid R C 2000 Temporal coding of visual information in the thalamus J. Neurosci. 20 5392-400
29. Rolf D F S and Brown G C 1997 Cellular energy utilization and molecular origin of standard metabolic rate in mammals Physiol. Rev. 77 731-58
30. Roth G 1987 Visual Behavior in Salamanders (Berlin: Springer)
31. Schoenbaum G, Chiba A A and Gallagher M 1999 Neural encoding in orbitofrontal cortex and basolateral amygdala during olfactory discrimination learning J. Neurosci. 19 1876-84
32. Schreiber S, Machens C K, Herz A V M and Laughlin S B 2002 Energy efficient coding with discrete stochstic events Neural Comput. 14 1323-46
33. Siesjo B 1978 Brain Energy Metabolism (New York: Wiley)
34. Smirnakis S M, Berry M J, Warland D K, Bialek W and Meister M 1997 Adaptation of retinal processing to image contrast and spatial scale Nature 386 79-83
35. Stanley G B, Li F F and Dan Y 1999 Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus J. Neurosci. 19 8036-42
36. Strong S P, Koberle R, de Ruyter can Steveninck R R and Bialek W 1997 Entropy and information in neural spike trains Phys. Rev. Lett. 80 197-200
37. Treves A, Panzeri S, Rolls E T, Booth M and Wakeman E A 1999 Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimulation Neural Comput. 11 601-31
38. van der Schaaf A A and van Hateren J H 1996 Modelling the power spectra of natural images-statistics and information Vis. Res. 36 2759-70
39. van Hateren J H 1992 Real and optimal neural images in early vision Nature 360 68-70
40. Wong-Riley M T T 1989 Cytochrome oxidase: an endogenous metabolic marker for neuronal activity Trends Neurosci. 12 94-101