Critical and maximally informative encoding between neural populations in the retina

Proceedings of the National Academy of Sciences of the United States of America

Volumn 112, Issue 8, 2015, Pages 2533-2538

  Kastner, David B ^a,d   Baccus, Stephen A ^b   Sharpee, Tatyana O ^a,c  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Information theory; Neural coding; Phase transitions; Scaling

Indexed keywords

ANIMAL CELL; ARTICLE; CELL POPULATION; INFORMATION SCIENCE; MAGNETIC FIELD; MAGNETISM; NERVE POTENTIAL; NOISE; NONHUMAN; PHASE TRANSITION; PRIORITY JOURNAL; RECEPTIVE FIELD; RETINA GANGLION CELL; RETINA NERVE CELL; SALAMANDER; TEMPERATURE; VISUAL FIELD; VISUAL STIMULATION; ANIMAL; BIOLOGICAL MODEL; PERCEPTIVE THRESHOLD; PHYSIOLOGY; SOLUTION AND SOLUBILITY; URODELA;

SALAMANDROIDEA;

SOLUTION AND SOLUBILITY;

ANIMALS; MODELS, NEUROLOGICAL; PHASE TRANSITION; RETINAL NEURONS; SENSORY THRESHOLDS; SOLUTIONS; URODELA;

EID: 84923683262     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1418092112     Document Type: Article

References (40)

1. Laughlin S (1981) A simple coding procedure enhances a neuron's information capacity. Z Naturforsch C 36(9-10):910-912.
2. Brenner N, Bialek W, de Ruyter van Steveninck R (2000) Adaptive rescaling maximizes information transmission. Neuron 26(3):695-702.
3. Pitkow X, Meister M (2012) Decorrelation and efficient coding by retinal ganglion cells. Nat Neurosci 15(4):628-635.
4. Atick JJ, Redlich AN (1990) Towards a theory of early visual processing. Neural Comput 2: 308-320.
5. Haft M, van Hemmen JL (1998) Theory and implementation of infomax filters for the retina. Network 9(1):39-71.
6. Doi E, et al. (2012) Efficient coding of spatial information in the primate retina. J Neurosci 32(46):16256-16264.
7. Liu YS, Stevens CF, Sharpee TO (2009) Predictable irregularities in retinal receptive fields. Proc Natl Acad Sci USA 106(38):16499-16504.
8. Borghuis BG, Ratliff CP, Smith RG, Sterling P, Balasubramanian V (2008) Design of a neuronal array. J Neurosci 28(12):3178-3189.
9. Zhaoping L (2006) Theoretical understanding of the early visual processes by data compression and data selection. Network 17(4):301-334.
10. Garrigan P, et al. (2010) Design of a trichromatic cone array. PLoS Comput Biol 6(2):e1000677.
11. Gjorgjieva J, Sompolinsky H, Meister M (2014) Benefits of pathway splitting in sensory coding. J Neurosci 34(36):12127-12144.
12. Balasubramanian V, Sterling P (2009) Receptive fields and functional architecture in the retina. J Physiol 587(Pt 12):2753-2767.
13. Ratliff CP, Borghuis BG, Kao YH, Sterling P, Balasubramanian V (2010) Retina is structured to process an excess of darkness in natural scenes. Proc Natl Acad Sci USA 107(40):17368-17373.
14. Kastner DB, Baccus SA (2011) Coordinated dynamic encoding in the retina using opposing forms of plasticity. Nat Neurosci 14(10):1317-1322.
15. Tkacik G, Schneidman E, Berry MJ, Bialek W (2009) Spin glass models for a network of real neurons. arXiv:0912.5409.
16. Mora T, BialekW(2011) Are biological systems poised at criticality? J Stat Phys 144:268-302.
17. Shew WL, Yang H, Yu S, Roy R, Plenz D (2011) Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches. J Neurosci 31(1):55-63.
18. Friedman N, et al. (2012) Universal critical dynamics in high resolution neuronal avalanche data. Phys Rev Lett 108(20):208102.
19. Beggs JM, Timme N (2012) Being critical of criticality in the brain. Front Physiol 3:163.
20. Stanley HE (1971) Introduction to Phase Transitions and Critical Phenomena (Oxford Univ Press, New York).
21. Ala-Laurila P, Greschner M, Chichilnisky EJ, Rieke F (2011) Cone photoreceptor contributions to noise and correlations in the retinal output. Nat Neurosci 14(10):1309-1316.
22. Puchalla JL, Schneidman E, Harris RA, Berry MJ (2005) Redundancy in the population code of the retina. Neuron 46(3):493-504.
23. Tkacik G, Callan CG, Jr, Bialek W (2008) Information flow and optimization in transcriptional regulation. Proc Natl Acad Sci USA 105(34):12265-12270.
24. Nikitin AP, Stocks NG, Morse RP, McDonnell MD (2009) Neural population coding is optimized by discrete tuning curves. Phys Rev Lett 103(13):138101.
25. McDonnell MD, Stocks NG, Pearce CEM, Abbott D (2006) Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance. Phys Lett A 352(3):183-189.
26. Kastner DB, Baccus SA (2013) Spatial segregation of adaptation and predictive sensitization in retinal ganglion cells. Neuron 79(3):541-554.
27. Zaghloul KA, Boahen K, Demb JB (2003) Different circuits for ON and OFF retinal ganglion cells cause different contrast sensitivities. J Neurosci 23(7):2645-2654.
28. Kinouchi O, Copelli M (2006) Optimal dynamic range of excitable networks at criticality. Nat Phys 2:348-351.
29. Yu S, Yang H, Shriki O, Plenz D (2013) Universal organization of resting brain activity at the thermodynamic critical point. Front Syst Neurosci 7:42.
30. Frazor RA, Geisler WS (2006) Local luminance and contrast in natural images. Vision Res 46(10):1585-1598.
31. Baccus SA, Meister M (2002) Fast and slow contrast adaptation in retinal circuitry. Neuron 36(5):909-919.
32. Ozuysal Y, Baccus SA (2012) Linking the computational structure of variance adaptation to biophysical mechanisms. Neuron 73(5):1002-1015.
33. Harper NS, McAlpine D (2004) Optimal neural population coding of an auditory spatial cue. Nature 430(7000):682-686.
34. Karklin Y, Simoncelli EP (2011) Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. NIPS 24:999-1007.
35. Carlson NL, Ming VL, Deweese MR (2012) Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus. PLoS Comput Biol 8(7):e1002594.
36. Chichilnisky EJ, Kalmar RS (2002) Functional asymmetries in ON and OFF ganglion cells of primate retina. J Neurosci 22(7):2737-2747.
37. nd (2006) Functional organization of ganglion cells in the salamander retina. J Neurophysiol 95(4):2277-2292.
38. Brody D, Rivier N (1995) Geometrical aspects of statistical mechanics. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 51(2):1006-1011.
39. Angelini MC, Parisi G, Ricci-Tersenghi F (2014) Relations between short-range and long-range Ising models. Phys Rev E Stat Nonlin Soft Matter Phys 89(6):062120.
40. Schneidman E, Berry MJ, 2nd, Segev R, Bialek W (2006) Weak pairwise correlations imply strongly correlated network states in a neural population. Nature 440(7087): 1007-1012.