Добавил:
Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

Physics of biomolecules and cells

.pdf
Скачиваний:
52
Добавлен:
15.08.2013
Размер:
11.59 Mб
Скачать

W. Bialek: Thinking About the Brain

573

References

[1]H.B. Barlow, Nature 304 (1983) 207–209.

[2]H.B. Barlow, Proc. R. Soc. Lond. Ser. B 212 (1981) 1–34.

[3]W. Bialek, Ann. Rev. Biophys. Biophys. Chem. 16 (1987) 455–478.

[4]W. Bialek, Optimal signal processing in the nervous system, in Princeton Lectures on Biophysics, edited by W. Bialek (World Scientific, Singapore, 1992) pp. 321–401.

[5]F. Rieke, D. Warland, R. de Ruyter van Steveninck and W. Bialek, Spikes: Exploring the Neural Code (MIT Press, Cambridge, 1997).

[6]M. Bouman, in Sensory Communication, edited by W. Rosenblith (MIT Press, Cambridge, 1960).

[7]F. Rieke and D.A. Baylor, Revs. Mod. Phys. 70 (1998) 1027–1036.

[8]S. Hecht, S. Shlaer and M.H. Pirenne, J. Gen. Physiol. 25 (1942) 819–840.

[9]H.A. van der Velden, Physica 11 (1944) 179–189.

[10]D.A. Baylor, T.D. Lamb and K.-W. Yau, J. Physiol. (Lond.) 288 (1979) 613–634.

[11]D.A. Baylor, B.J. Nunn and J.F. Schnapf, Macaca fascicularis, J. Physiol. (Lond.)

357 (1984) 575–607.

[12]H.B. Barlow, J. Opt. Soc. Am. 46 (1956) 634–639.

[13]D.M. Green and J.A. Swets, Signal Detection Theory and Psychophysics (Wiley, New York, 1966).

[14]M.C. Teich, P.R. Prucnal, G. Vannucci, M.E. Breton and W.J. McGill, Biol. Cybern. 44 (1982) 157–165.

[15]D.A. Baylor, G. Matthews and K.–W. Yau, J. Physiol. (Lond.) 309 (1980) 591– 621.

[16]A.–C. Aho, K. Donner, C. Hyd´en, L.O. Larsen and T. Reuter, Nature 334 (1988) 348–350.

[17]A.G. Doukas, M.R. Junnarkar, R.R. Alfano, R.H. Callender, T. Kakitani and B. Honig, Proc. Nat. Acad. Sci. (USA) 81 (1984) 4790–4794.

[18]R.W. Schoenlein, L.A. Peteanu, R.A. Mathies and C.V. Shank, Science 254 (1991) 412–415.

[19]Q. Wang, R.W. Schoenlein, L.A. Peteanu, R.A. Mathies and C.V. Shank, Science 266 (1994) 422–424.

[20]W. Bialek, R.F. Goldstein and A. Kivelson, Simple models for the dynamics of biomolecules: How far can we go?, in Structure, Dynamics and Function of Biomolecules: The First EBSA Workshop, edited by A. Ehrenberg, R. Rigler, A. Graslund and L.J. Nilsson (Springer–Verlag, Berlin, 1987), pp. 65–69.

[21]F.L.J. Vos, D.P. Aalberts and W. van Saarloos, Phys. Rev. B 53 (1996) 14922– 14928.

[22]D.P. Aalberts, M.S.L. du Croo de Jongh, B.F. Gerke and W. van Saarloos, Phys. Rev. A 61 (2000) 040701.

[23]M.H. Vos, J.–C. Lambry, S.J. Robles, D.C. Youvan, J. Breton and J.–L. Martin,

Proc. Nat. Acad. Sci. (USA) 88 (1991) 8885–8889.

[24]M.H. Vos, M.R. Jones, C.N. Hunter, J. Breton and J.–L. Martin, Proc. Nat. Acad. Sci. (USA) 91 (1994) 12701–12705.

[25]A.–C. Aho, K. Donner, S. Helenius, L.O. Larsen and T. Reuter, J. Comp. Physiol. A 172 (1993) 671–682.

[26]F. Rieke and D.A. Baylor, Biophys. J. 75 (1998) 1836–1857.

[27]P.B. Detwiler, S. Ramanathan, A. Sengupta and B.I. Shraiman, Biophys. J. 79 (2000) 2801–2817.

574

Physics of Bio-Molecules and Cells

[28]F. Rieke and D.A. Baylor, Biophys. J. 71 (1996) 2553–2572.

[29]H.B. Barlow, W. Levick and M. Yoon, Vision Res. Suppl. 3 (1971) 87–101.

[30]A.B. Valbo, Single a erent neurons and somatic sensation in humans, in The Cognitive Neurosciences, edited by M. Gazzaniga (MIT Press, Cambridge, 1995), pp. 237–252.

[31]J.A. Simmons, M. Ferragamo, C.F. Moss, S.B. Stevenson and R.A. Altes, J. Comp. Physiol. A 167 (1990) 589–616.

[32]H.B. Barlow, Philos. Trans. R. Soc. Lond. Ser. B 290 (1980) 71–82.

[33]H. Barlow and S.P. Tripathy, J. Neurosci. 17 (1997) 7954–7966.

[34]W.T. Newsome, M.N. Shadlen, E. Zohary, K.H. Britten and J.A. Movshon, Visual motion: Linking neuronal activity to psychophysical performance, in The Cognitive Neurosciences, edited by M. Gazzaniga (MIT Press, Cambridge, 1995), pp. 401– 414.

[35]N. Strausfeld, Atlas of an Insect Brain (Springer–Verlag, Berlin, 1976).

[36]http://flybrain.neurobio.arizona.edu/Flybrain/html/

[37]D.G. Stavenga and R.C. Hardie, Facets of Vision (Springer–Verlag, Berlin, 1989).

[38]M.F. Land and T.S. Collett, J. Comp. Physiol. 89 (1974) 331–357.

[39]H. Wagner, Phil. Trans. R. Soc.Ser. B 312 (1986) 527–595.

[40]C. Schilstra and J.H. van Hateren, J. Exp. Biol. 202 (1999) 1481–1490.

[41]J.H. van Hateren and C. Schilstra, J. Exp. Biol. 202 (1999) 1491–1500.

[42]W. Reichardt and T. Poggio, Q. Rev. Biophys. 9 (1976) 311-375.

[43]R.R. de Ruyter van Steveninck and S.B. Laughlin, Nature 379 (1996) 642–645.

[44]K. Hausen, The lobular complex of the fly: structure, function, and significance in behavior, in Photoreception and vision in invertebrates, edited by M. Ali (Plenum, New York, 1984), pp. 523–559.

[45]K. Hausen and M. Egelhaaf, Neural mechanisms of visual course control in insects, in [37], (1989) pp. 391–424.

[46]K. Hausen and C. Wehrhahn, Proc. R. Soc. Lond. B 21 (1983) 211–216.

[47]W. Bialek, F. Rieke, R.R. de Ruyter van Steveninck and D. Warland, Science 252 (1991) 1854–1857.

[48]W. Bialek, Theoretical physics meets experimental neurobiology, in 1989 Lectures in Complex Systems, SFI Studies in the Sciences of Complexity, Lect. Vol. II, edited by E. Jen (Addison–Wesley, Menlo Park CA, 1990), pp. 513–595.

[49]R.R. de Ruyter van Steveninck and W. Bialek, Phil. Trans. R. Soc. Lond. 348 (1995) 321–340.

[50]R. de Ruyter van Steveninck and W. Bialek, Proc. R. Soc. London Ser. B 234 (1988) 379–414.

[51]W. Bialek and A. Zee, J. Stat. Phys. 59 (1990) 103–115.

[52]D.K. Warland, P. Reinagel and M. Meister, J. Neurophysiol. 78 (1997) 2336–2350.

[53]J. Wessberg, C.R. Stambaugh, J.D. Kralik, P.D. Beck, M. Laubach, J.K. Chapin, J. Kim, S.J. Biggs, M.A. Srinivasan and M.A.L. Nicolelis, Nature 408 (2000) 361–365.

[54]M. Potters and W. Bialek, J. Phys. I France 4 (1994) 1755–1775.

[55]W. Reichardt, Autocorrelation, a principle for the evaluation of sensory information by the central nervous system, in Principles of sensory communication, edited by W.A. Rosenblith (Wiley, New York, 1961), pp. 303–317.

[56]R.R. de Ruyter van Steveninck, W. Bialek, M. Potters, R.H. Carlson and G.D. Lewen, Adaptive movement computation by the blowfly visual system, in

Natural and Artificial Parallel Computation: Proceedings of the Fifth NEC Research Symposium, edited by D.L. Waltz (SIAM, Philadelphia, 1996), pp. 21–41.

W. Bialek: Thinking About the Brain

575

[57]R.R. de Ruyter van Steveninck and W. Bialek, Optimality and adaptation in motion estimation by the blowfly visual system, Proceedings of the IEEE 22nd Annual Northeast Bioengineering Conference (1996) pp. 40–41.

[58]R.R. de Ruyter van Steveninck, W. Bialek, M. Potters and R.H. Carlson, Statistical adaptation and optimal estimation in movement computation by the blowfly visual system, in Proc. I.E.E.E. Conf. Sys. Man Cybern. (1994) pp. 302–307.

[59]W. Bialek and R.R. de Ruyter van Steveninck (in preparation). Features and dimensions: Motion estimation in fly vision.

[60]F. Attneave, Psych. Rev. 61 (1954) 183–193.

[61]H.B. Barlow, Sensory mechanisms, the reduction of redundancy and intelligence, in

Proceedings of the Symposium on the Mechanization of Thought Processes, Vol. 2, edited by D.V. Blake and A.M. Uttley (H.M. Stationery O ce, London, 1959), pp. 537–574.

[62]H.B. Barlow, Possible principles underlying the transformation of sensory messages, in Sensory Communication, edited by W. Rosenblith (MIT Press, Cambridge, 1961), pp. 217–234.

[63]C.E. Shannon (1948), A mathematical theory of communication, Bell Sys. Tech. J. 27, 379–423 & 623–656. Reprinted in C.E. Shannon and W. Weaver, The Mathematical Theory of Communication (University of Illinois Press, Urbana, 1949).

[64]I. Ginzburg and T.J. Sejnowski (1996). Dynamics of Rule Induction by Making Queries: Transition Between Strategies, in 18th Annual Conference of the Cognitive Science Society, pp. 121–125 (Lawrence Erlbaum, Mahwah NJ), see also http://www.cnl.salk.edu/CNL/annual--reps/annual--rep95.html

[65]V.V. Fedorov, V. V. Theory of Optimal Experimental Design, translated and edited by W.J. Studden and E.M. Klimko (Academic Press, New York, 1972).

[66]M.R. DeWeese and M. Meister, Network 10 (1999) 325–340.

[67]S.B. Laughlin, Z. Naturforsch. 36c (1981) 910–912.

[68]J.J. Atick, Could information theory provide an ecological theory of sensory processing?, in Princeton Lectures on Biophysics, edited by W. Bialek (World Scientific, Singapore, 1992), pp. 223–289.

[69]J.H. van Hateren, J. Comp. Physiol. A 171 (1992) 157–170.

[70]D.L. Ruderman, T.W. Cronin and C.C. Chiao, J. Opt. Soc. Am. A 15 (1998) 2036–2045.

[71]N. Brenner, S.P. Strong, R. Koberle, R. de Ruyter van Steveninck and W. Bialek, Neural Comp. 12 (2000) 1531–1552.

[72]R.R. de Ruyter van Steveninck, G.D. Lewen, S.P. Strong, R. Koberle and W. Bialek, Science 275 (1997) 1805–1808.

[73]S.P. Strong, R. Koberle, R. de Ruyter van Steveninck and W. Bialek, Phys. Rev. Lett. 80 (1998) 197–200.

[74]F. Rieke, D. Warland and W. Bialek, Europhys. Lett. 22 (1993) 151–156.

[75]D. MacKay and W.S. McCulloch, Bull. Math. Biophys. 14 (1952) 127–135.

[76]E. Schneidman, N. Brenner, N. Tishby, R.R. de Ruyter van Steveninck and W. Bialek, Universality and individuality in a neural code, to appear in Advances in Neural Information Processing 13, edited by T.K. Leen, T.G. Dietterich and V. Tresp (MIT Press, Cambridge, 2001), pp. 159–165, see also physics/0005043.

[77]R. de Ruyter van Steveninck, A. Borst and W. Bialek, Real time encoding of motion: Answerable questions and questionable answers from the fly’s visual system, in Processing Visual Motion in the Real World: A Survey of Computational, Neural and Ecological Constraints, edited by J.M. Zanker and J. Zeil (Springer– Verlag, Berlin, 2001), pp. 279–306, see also physics/0004060.

576

Physics of Bio-Molecules and Cells

[78]G.D. Lewen, W. Bialek and R.R. de Ruyter van Steveninck, Network 12 (2001) 317–329, see also physics/0103088.

[79]N. Brenner, W. Bialek and R. de Ruyter van Steveninck, Neuron 26 (2000) 695– 702.

[80]A.L. Fairhall, G.D. Lewen, W. Bialek and R.R. de Ruyter van Steveninck, Nature 412 (2001) 787–792.

[81]D.L. Ruderman and W. Bialek, Phys. Rev. Lett. 73 (1994) 814–817.

[82]S. Smirnakis, M.J. Berry II, D.K. Warland, W. Bialek and M. Meister, Nature 386 (1997) 69–73.

[83]W. Bialek, I. Nemenman and N. Tishby, Neural Comp. 13 (2001) 2409–2463, see also physics/0007070.

[84]W. Bialek, I. Nemenman and N. Tishby, Physica A 302 (2001) pp. 89–99, see also physics/0103076.

[85]N. Tishby, F. Pereira and W. Bialek, The information bottleneck method, in

Proceedings of the 37th Annual Allerton Conference on Communication, Control and Computing, edited by B. Hajek and R.S. Sreenivas (University of Illinois, 1999), pp. 368–377, see also physics/0004057.

[86]H.S. Seung, H. Sompolinsky and N. Tishby, Phys. Rev. A 45 (1992) 6056–6091.

[87]P. Grassberger, Int. J. Theor. Phys. 25 (1986) 907–938.

[88]V. Vapnik, Statistical Learning Theory (John Wiley & Sons, New York, 1998).

[89]V.Balasubramanian, Neural Comp. 9 (1997) 349–368, see also cond-mat/9601030.

[90]W. Bialek, C.G. Callan and S.P. Strong, Phys. Rev. Lett. 77 (1996) 4693–4697, see also cond-mat/9607180.

[91]C.E. Shannon, Prediction and entropy of printed English, Bell Sys. Tech. J. 30, 50–64. Reprinted in edited by N.J.A. Sloane and A.D. Wyner, Claude Elwood Shannon: Collected papers (IEEE Press, New York, 1993).

[92]W. Hilberg, Frequenz 44 (1990) 243–248.

[93]R.H.S. Carpenter and M.L.L. Williams, Nature 377 (1995) 59–62.

[94]L.L. Lopes and G.C. Oden, J. Exp. Psych.: Learning, Memory, and Cognition 13

(1987) 392–400.

[95]J.R. Sa ran, R.N. Aslin and E.L. Newport, Science 274 (1996) 1926–1928.

[96]J.R. Sa ran, E.K. Johnson, R.H. Aslin and E.L. Newport, Cognition 70 (1999) 27–52.

[97]M.D. Mauk and B.P. Ruize, Behav. Neurosci. 106 (1992) 666–681.

[98]E. Neher and B. Sakmann, Nature 260 (1976) 799–802.

[99]B. Hille, Ionic Channels of Excitable Membranes, 2d ed. (Sinauer Associates, Sunderland MA, 1992).

[100]D. Johnston and S.–M. Wu, Foundations of Cellular Neurophysiology (MIT Press, Cambridge, 1995).

[101]E.M.C. Jones, M. Gray–Keller and R. Fettiplace, J. Physiol. (Lond.) 518 (1999) 653–665.

[102]A.L. Hodgkin and A.F. Huxley, J. Physiol. 116 (1952a) 449–472.

[103]A.L. Hodgkin and A.F. Huxley, J. Physiol. 116 (1952b) 473–496.

[104]A.L. Hodgkin and A.F. Huxley, J. Physiol. 116 (1952c) 497–506.

[105]A.L. Hodgkin and A.F. Huxley, J. Physiol. 117 (1952d) 500–544.

[106]G. LeMasson, E. Marder and L.F. Abbott, Science 259 (1993) 1915–1917.

[107]G. Turrigiano, L.F. Abbott and E. Marder, Science 264 (1994) 974–977.

W. Bialek: Thinking About the Brain

577

[108]N.S. Desai, L.C. Rutherford and G.G. Turrigiano, Nature Neurosci. 2 (1999) 489– 491.

[109]E. Schneidman, I. Segev and N. Tishby, Information capacity and robustness of stochastic neuron models, in Advances in Neural Information Processing 12, edited by S.A. Solla, T.K. Leen and K.–R. M¨uller (MIT Press, Cambridge, 2000), pp. 178– 184.

[110]M.S. Goldman, J. Golowasch, E. Marder and L.F. Abbott, J. Neurosci. 21 (2001) 5229–5238.

[111]N. Barkai and S. Leibler, Nature 387 (1997) 913–917.

[112]Z. Liu, J. Golowasch, E. Marder and L.F. Abbott, J. Neurosci. 18 (1998) 2309– 2320.

[113]J. Golowasch, M. Casey, L.F. Abbott and E. Marder, Neural Comp. 11 (1999) 1079–1096.

[114]C. Soto–Trovino, K.A. Thoroughman, E. Marder and L.F. Abbott, Nature Neurosci. 4 (2001) 297–303.

[115]M. Stemmler and C. Koch, Nature Neurosci. 2 (1999) 521–527.

[116]E. Schneidman, B. Freedman and I. Segev, Neural Comp. 10 (1998) 1679–1703.

[117]B. Ag¨uera y Arcas, A. Fairhall and W. Bialek, What can a single neuron compute?, in Advances in Neural Information Processing 13, edited by T.K. Leen, T.G. Dietterich and V. Tresp (MIT Press, Cambridge, 2001), pp. 75–81.

[118]B. Ag¨uera y Arcas, A. Fairhall and W. Bialek (in preparation), Computation in a single neuron: The Hodkgin–Huxley model.

[119]N. Chomsky, I. R. E. Trans. Inf. Theory IT–2 (1956) 113–124.

[120]S. Abney, Statistical methods and linguistics, in The Balancing Act: Combining Statistical and Symbolic Approaches to Language, edited by J.L. Klavans and P. Resnik (MIT Press, Cambridge, 1996), pp. 1–26.

[121]G.F. Marcus, S. Vijayan, S. Bandi Rao and P.M. Vishton, Science 283 (1999) 77–80.

[122]S. Pinker, Science 283 (1999) 40–41.

[123]V. Periwal, Phys. Rev. Lett. 78 (1997) 4671–4674, see also hep-th/9703135.

[124]T.E. Holy, Phys. Rev. Lett. 79 (1997) 3545–3548, see also physics/9706015.

[125]V. Periwal (1998), Geometrical statistical inference, preprint. Available at adap-org/9801001.

[126]T. Aida, Phys. Rev. Lett. 83 (1999) 3554–3557, see also cond-mat/9911474.

[127]I. Nemenman and W. Bialek, Phys. Rev. E 65 (2002) 026137, see also cond-mat/0009165.

[128] I. Nemenman, F. Shafee and W. Bialek, Entropy and inference, revisited, to appear in Advances in Neural Information Processing 14, edited by T.G. Dietterich, S. Becker and Z. Ghahramani (MIT Press, Cambridge, 2002), see also physics/0108025.

[129]M. Redington, N. Chater and S. Finch, Cog. Sci. 22 (1998) 425–469.

[130]F. Pereira, N. Tishby and L. Lee, Distributional clustering of english words, 30th Annual Meeting of the Association for Computational Linguistics, (1993) pp. 183– 190.

[131]N. Slonim and N. Tishby, Document clustering via word clusters using the information bottleneck method, in Proc. of the 23rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (2000) pp. 208–215.

578

Physics of Bio-Molecules and Cells

Соседние файлы в предмете Химия