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Volumn 21, Issue 3, 2009, Pages 619-687

Sequential optimal design of neurophysiology experiments

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; METHODOLOGY; NERVE CELL; NEUROPHYSIOLOGY; NONLINEAR SYSTEM; PHYSIOLOGY; TIME;

EID: 63249126388     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2008.08-07-594     Document Type: Article
Times cited : (105)

References (83)
  • 2
    • 40049096305 scopus 로고    scopus 로고
    • Inferring input nonlinearities in neural encoding models
    • Ahrens, M., Paninski, L., & Sahani, M. (2008). Inferring input nonlinearities in neural encoding models. Network, 19, 35-67.
    • (2008) Network , vol.19 , pp. 35-67
    • Ahrens, M.1    Paninski, L.2    Sahani, M.3
  • 4
    • 34948897019 scopus 로고    scopus 로고
    • From response to stimulus: Adaptive sampling in sensory physiology
    • Benda, J., Gollisch, T., Machens, C. K., & Herz, A. V. (2007). From response to stimulus: Adaptive sampling in sensory physiology. Current Opinion in Neurobiology, 17(4), 430-436.
    • (2007) Current Opinion in Neurobiology , vol.17 , Issue.4 , pp. 430-436
    • Benda, J.1    Gollisch, T.2    Machens, C.K.3    Herz, A.V.4
  • 6
    • 27244444336 scopus 로고    scopus 로고
    • Slow feature analysis yields a rich repertoire of complex cell properties
    • Berkes, P., & Wiskott, L. (2005). Slow feature analysis yields a rich repertoire of complex cell properties. Journal of Vision, 5, 579-602.
    • (2005) Journal of Vision , vol.5 , pp. 579-602
    • Berkes, P.1    Wiskott, L.2
  • 7
    • 0000626524 scopus 로고
    • Expected information as expected utility
    • Bernardo, J. M. (1979). Expected information as expected utility. Annals of Statistics, 7(3), 686-690.
    • (1979) Annals of Statistics , vol.7 , Issue.3 , pp. 686-690
    • Bernardo, J.M.1
  • 8
    • 0032521364 scopus 로고    scopus 로고
    • Refractoriness and neural precision
    • Berry, M., & Meister, M. (1998). Refractoriness and neural precision. Journal of Neuroscience, 18, 2200-2211.
    • (1998) Journal of Neuroscience , vol.18 , pp. 2200-2211
    • Berry, M.1    Meister, M.2
  • 9
    • 0346942368 scopus 로고    scopus 로고
    • Decision-theoretic planning: Structural assumptions and computational leverage
    • Boutilier, C., Dean, T., & Hanks, S. (1999). Decision-theoretic planning: Structural assumptions and computational leverage. Journal of Artificial Intelligence Research, 11, 1-94.
    • (1999) Journal of Artificial Intelligence Research , vol.11 , pp. 1-94
    • Boutilier, C.1    Dean, T.2    Hanks, S.3
  • 10
    • 0023686914 scopus 로고
    • Maximum likelihood analysis of spike trains of interacting nerve cells
    • Brillinger, D. (1988). Maximum likelihood analysis of spike trains of interacting nerve cells. Biological Cyberkinetics, 59, 189-200.
    • (1988) Biological Cyberkinetics , vol.59 , pp. 189-200
    • Brillinger, D.1
  • 11
    • 0000059288 scopus 로고
    • Nerve cell spike train data analysis: A progression of technique
    • Brillinger, D. (1992). Nerve cell spike train data analysis: A progression of technique. Journal of the American Statistical Association, 87, 260-271.
    • (1992) Journal of the American Statistical Association , vol.87 , pp. 260-271
    • Brillinger, D.1
  • 12
    • 0038166089 scopus 로고    scopus 로고
    • An account of monaural phase sensitivity
    • Carlyon, R. P., & Shamma, S. (2003). An account of monaural phase sensitivity. J. Acoust. Soc. Am., 114(1), 333-348.
    • (2003) J. Acoust. Soc. Am. , vol.114 , Issue.1 , pp. 333-348
    • Carlyon, R.P.1    Shamma, S.2
  • 13
    • 84972528615 scopus 로고
    • Bayesian experimental design: A review
    • Chaloner, K., & Verdinelli, I. (1995). Bayesian experimental design: A review. Statistical Science, 10(3), 273-304.
    • (1995) Statistical Science , vol.10 , Issue.3 , pp. 273-304
    • Chaloner, K.1    Verdinelli, I.2
  • 14
    • 21144461159 scopus 로고
    • Nonlinear experiments: Optimal design and inference based on likelihood
    • Chaudhuri, P., & Mykland, P. (1993). Nonlinear experiments: Optimal design and inference based on likelihood. Journal of the American Statistical Association, 88(422), 538-546.
    • (1993) Journal of the American Statistical Association , vol.88 , Issue.422 , pp. 538-546
    • Chaudhuri, P.1    Mykland, P.2
  • 15
    • 0013028436 scopus 로고    scopus 로고
    • A simple white noise analysis of neuronal light responses
    • Chichilnisky, E. J. (2001). A simple white noise analysis of neuronal light responses. Network-Computation in Neural Systems, 12(2), 199-213.
    • (2001) Network-Computation in Neural Systems , vol.12 , Issue.2 , pp. 199-213
    • Chichilnisky, E.J.1
  • 16
    • 0003328374 scopus 로고
    • Neural network exploration using optimal experiment design
    • In J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), San Francisco: Morgan Kaufmann
    • Cohn, D. A. (1994). Neural network exploration using optimal experiment design. In J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), Advances in neural information processing systems, 6 (pp. 679-686). San Francisco: Morgan Kaufmann.
    • (1994) Advances in neural information processing systems , vol.6 , pp. 679-686
    • Cohn, D.A.1
  • 18
    • 0032578759 scopus 로고    scopus 로고
    • Temporal dynamics of chromatic tuning in macaque primary visual cortex
    • Cottaris, N. P., & De Valois, R. L. (1998). Temporal dynamics of chromatic tuning in macaque primary visual cortex. Nature, 395(6705), 896-900.
    • (1998) Nature , vol.395 , Issue.6705 , pp. 896-900
    • Cottaris, N.P.1    De Valois, R.L.2
  • 20
    • 84898947320 scopus 로고    scopus 로고
    • Analysis of a greedy active learning strategy
    • In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Cambridge, MA: MIT Press
    • Dasgupta, S. (2005). Analysis of a greedy active learning strategy. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems, 17 (pp. 337-344). Cambridge, MA: MIT Press.
    • (2005) Advances in neural information processing systems , vol.17 , pp. 337-344
    • Dasgupta, S.1
  • 22
    • 0017804799 scopus 로고
    • On cochlear encoding: Potentialities and limitations of the reverse-correlation technique
    • de Boer, E., & de Jongh, H. R. (1978). On cochlear encoding: Potentialities and limitations of the reverse-correlation technique. Journal of the Acoustical Society of America, 63(1), 115-135.
    • (1978) Journal of the Acoustical Society of America , vol.63 , Issue.1 , pp. 115-135
    • de Boer, E.1    de Jongh, H.R.2
  • 23
    • 0032577379 scopus 로고    scopus 로고
    • Optimizing sound features for cortical neurons
    • deCharms, R. C., Blake, D. T., & Merzenich,M.M. (1998). Optimizing sound features for cortical neurons. Science, 280(5368), 1439-1443.
    • (1998) Science , vol.280 , Issue.5368 , pp. 1439-1443
    • deCharms, R.C.1    Blake, D.T.2    Merzenich, M.M.3
  • 25
    • 0035097825 scopus 로고    scopus 로고
    • Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex
    • Depireux, D. A., Simon, J. Z., Klein, D. J., & Shamma, S. A. (2001). Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex. Journal of Neurophysiology, 85, 1220-1234.
    • (2001) Journal of Neurophysiology , vol.85 , pp. 1220-1234
    • Depireux, D.A.1    Simon, J.Z.2    Klein, D.J.3    Shamma, S.A.4
  • 26
    • 0032053955 scopus 로고    scopus 로고
    • Structure of receptive fields in area 3b of primary somatosensory cortex in the alert monkey
    • DiCarlo, J. J., Johnson, K. O., &Hsiao, S. S. (1998). Structure of receptive fields in area 3b of primary somatosensory cortex in the alert monkey. Journal of Neuroscience, 18(7), 2626-2645.
    • (1998) Journal of Neuroscience , vol.18 , Issue.7 , pp. 2626-2645
    • DiCarlo, J.J.1    Johnson, K.O.2    Hsiao, S.S.3
  • 27
    • 3342881154 scopus 로고    scopus 로고
    • Searching for optimal sensory signals: Iterative stimulus reconstruction in closed-loop experiments
    • Edin, F., Machens, C., Schutze, H., & Herz, A. (2004). Searching for optimal sensory signals: Iterative stimulus reconstruction in closed-loop experiments. Journal of Computational Neuroscience, 17(1), 47-56.
    • (2004) Journal of Computational Neuroscience , vol.17 , Issue.1 , pp. 47-56
    • Edin, F.1    Machens, C.2    Schutze, H.3    Herz, A.4
  • 28
    • 0027273402 scopus 로고
    • Wiener and Volterra analyses applied to the auditory system
    • Eggermont, J. J. (1993).Wiener and Volterra analyses applied to the auditory system. Hearing Research, 66(2), 177-201.
    • (1993) Hearing Research , vol.66 , Issue.2 , pp. 177-201
    • Eggermont, J.J.1
  • 29
    • 33847716709 scopus 로고    scopus 로고
    • Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods
    • Ergun, A., Barbieri, R., Eden, U. T.,Wilson,M.A., & Brown, E.N. (2007). Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods. IEEE Transactions on Biomedical Engineering, 54(3), 419-428.
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.3 , pp. 419-428
    • Ergun, A.1    Barbieri, R.2    Eden, U.T.3    Wilson, M.A.4    Brown, E.N.5
  • 30
    • 0000083279 scopus 로고
    • On asymptotically efficient recursive estimation
    • Fabian, V. (1978). On asymptotically efficient recursive estimation. Annals of Statistics, 6, 854-866.
    • (1978) Annals of Statistics , vol.6 , pp. 854-866
    • Fabian, V.1
  • 32
    • 0035384014 scopus 로고    scopus 로고
    • Stimulus optimisation in primary visual cortex
    • Foldiak, P. (2001). Stimulus optimisation in primary visual cortex. Neurocomputing, 38-40, 1217-1222.
    • (2001) Neurocomputing , vol.38-40 , pp. 1217-1222
    • Foldiak, P.1
  • 34
    • 33746057106 scopus 로고    scopus 로고
    • Query by committee made real
    • In Y.Weiss, B. Scḧolkopf, & J. Platt (Eds.), Cambridge, MA: MIT Press
    • Gilad-Bachrach, R., Navot, A., & Tishby, N. (2005). Query by committee made real. In Y.Weiss, B. Scḧolkopf, & J. Platt (Eds.), Advances in neural information processing systems, 18 (pp. 443-450). Cambridge, MA: MIT Press.
    • (2005) Advances in neural information processing systems , vol.18 , pp. 443-450
    • Gilad-Bachrach, R.1    Navot, A.2    Tishby, N.3
  • 35
    • 0036896362 scopus 로고    scopus 로고
    • Energy integration describes sound-intensity coding in an insect auditory system
    • Gollisch, T., Schutze, H., Benda, J., & Herz, A. V. M. (2002). Energy integration describes sound-intensity coding in an insect auditory system. Journal of Neuroscience, 22(23), 10434-10448.
    • (2002) Journal of Neuroscience , vol.22 , Issue.23 , pp. 10434-10448
    • Gollisch, T.1    Schutze, H.2    Benda, J.3    Herz, A.V.M.4
  • 36
    • 21844525426 scopus 로고
    • A stable and efficient algorithm for the rank-one modification of the symmetrical eigenproblem
    • Gu, M., & Eisenstat, S. C. (1994). A stable and efficient algorithm for the rank-one modification of the symmetrical eigenproblem. SIAM Journal on Matrix Analysis and Applications, 15(4), 1266-1276.
    • (1994) SIAM Journal on Matrix Analysis and Applications , vol.15 , Issue.4 , pp. 1266-1276
    • Gu, M.1    Eisenstat, S.C.2
  • 37
    • 0000017485 scopus 로고
    • Maximum likelihood estimation in exponential response models
    • Haberman, S. (1977). Maximum likelihood estimation in exponential response models. Annals of Statistics, 5, 815-841.
    • (1977) Annals of Statistics , vol.5 , pp. 815-841
    • Haberman, S.1
  • 38
    • 0001890697 scopus 로고
    • On deriving the inverse of a sum of matrices
    • Henderson, H., & Searle, S. R. (1981). On deriving the inverse of a sum of matrices. SIAM Review, 23, 53-60.
    • (1981) SIAM Review , vol.23 , pp. 53-60
    • Henderson, H.1    Searle, S.R.2
  • 40
    • 0034972776 scopus 로고    scopus 로고
    • Predicting every spike: A model for the responses of visual neurons
    • Keat, J., Reinagel, P., Reid, R. C., & Meister, M. (2001). Predicting every spike: A model for the responses of visual neurons. Neuron, 30, 803-817.
    • (2001) Neuron , vol.30 , pp. 803-817
    • Keat, J.1    Reinagel, P.2    Reid, R.C.3    Meister, M.4
  • 41
    • 0033001361 scopus 로고    scopus 로고
    • Bayesian adaptive estimation of psychometric slope and threshold
    • Kontsevich, L., & Tyler, C. (1999). Bayesian adaptive estimation of psychometric slope and threshold. Vision Research, 39, 2729-2737.
    • (1999) Vision Research , vol.39 , pp. 2729-2737
    • Kontsevich, L.1    Tyler, C.2
  • 42
    • 22544433191 scopus 로고    scopus 로고
    • Improved tracking of time-varying encoding properties of visual neurons by extended recursive least-squares
    • Lesica, N. A., & Stanley, G. B. (2005). Improved tracking of time-varying encoding properties of visual neurons by extended recursive least-squares. IEEE Trans. on Neural Systems and Rehabilitation Engineering, 13(2), 194-200.
    • (2005) IEEE Trans. on Neural Systems and Rehabilitation Engineering , vol.13 , Issue.2 , pp. 194-200
    • Lesica, N.A.1    Stanley, G.B.2
  • 44
    • 0036212160 scopus 로고    scopus 로고
    • Efficient coding of natural sounds
    • Lewicki, M. S. (2002). Efficient coding of natural sounds. Nature Neuroscience, 5(4), 356-363.
    • (2002) Nature Neuroscience , vol.5 , Issue.4 , pp. 356-363
    • Lewicki, M.S.1
  • 45
    • 0001017987 scopus 로고
    • Regression-analysis under link violation
    • Li, K. C., & Duan, N. (1989). Regression-analysis under link violation. Annals of Statistics, 17(3), 1009-1052.
    • (1989) Annals of Statistics , vol.17 , Issue.3 , pp. 1009-1052
    • Li, K.C.1    Duan, N.2
  • 46
    • 0142090233 scopus 로고    scopus 로고
    • Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex
    • Linden, J. F., Liu, R. C., Sahani, M., Schreiner, C. E., & Merzenich, M. M. (2003). Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex. Journal of Neurophysiology, 90, 2660-2675.
    • (2003) Journal of Neurophysiology , vol.90 , pp. 2660-2675
    • Linden, J.F.1    Liu, R.C.2    Sahani, M.3    Schreiner, C.E.4    Merzenich, M.M.5
  • 47
    • 0001249987 scopus 로고
    • On a measure of the information provided by an experiment
    • Lindley, D. V. (1956). On a measure of the information provided by an experiment. Annals of Mathematical Statistics, 27(4), 986-1005.
    • (1956) Annals of Mathematical Statistics , vol.27 , Issue.4 , pp. 986-1005
    • Lindley, D.V.1
  • 48
    • 23044462075 scopus 로고    scopus 로고
    • Testing the efficiency of sensory coding with optimal stimulus ensembles
    • Machens, C., Gollisch, T., Kolesnikova, O., & Herz, A. (2005). Testing the efficiency of sensory coding with optimal stimulus ensembles. Neuron, 47(3), 447-456.
    • (2005) Neuron , vol.47 , Issue.3 , pp. 447-456
    • Machens, C.1    Gollisch, T.2    Kolesnikova, O.3    Herz, A.4
  • 49
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • MacKay, D. J. C. (1992). Information-based objective functions for active data selection. Neural Computation, 4(4), 590-604.
    • (1992) Neural Computation , vol.4 , Issue.4 , pp. 590-604
    • MacKay, D.J.C.1
  • 52
    • 0033130383 scopus 로고    scopus 로고
    • Designing the future: A simple algorithm for sequential design of a generalized linear model
    • McLeish, D. L. (1999). Designing the future: A simple algorithm for sequential design of a generalized linear model. Journal of Statistical Planning and Inference, 78(1-2), 205-218.
    • (1999) Journal of Statistical Planning and Inference , vol.78 , Issue.1-2 , pp. 205-218
    • McLeish, D.L.1
  • 53
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate Bayesian inference
    • In San Francisco: Morgan Kaufmann
    • Minka, T. P. (2001). Expectation propagation for approximate Bayesian inference. In Proc. 17th Conf. in Uncertainty in Artificial Intelligence (pp. 362-369). San Francisco: Morgan Kaufmann.
    • (2001) Proc. 17th Conf. in Uncertainty in Artificial Intelligence , pp. 362-369
    • Minka, T.P.1
  • 55
    • 0028049410 scopus 로고
    • In search of the best stimulus: An optimization procedure for finding efficient stimuli in the cat auditory cortex
    • Nelken, I., Prut, Y., Vaadia, E., & Abeles, M. (1994). In search of the best stimulus: An optimization procedure for finding efficient stimuli in the cat auditory cortex. Hearing Research, 72, 237-253.
    • (1994) Hearing Research , vol.72 , pp. 237-253
    • Nelken, I.1    Prut, Y.2    Vaadia, E.3    Abeles, M.4
  • 56
    • 27644476827 scopus 로고    scopus 로고
    • Adaptive stimulus optimization for auditory cortical neurons
    • O'Connor, K. N., Petkov, C. I.,& Sutter,M. L. (2005). Adaptive stimulus optimization for auditory cortical neurons. Journal of Neurophysiology, 94(6), 4051-4067.
    • (2005) Journal of Neurophysiology , vol.94 , Issue.6 , pp. 4051-4067
    • O'Connor, K.N.1    Petkov, C.I.2    Sutter, M.L.3
  • 57
    • 9744274025 scopus 로고    scopus 로고
    • Maximum likelihood estimation of cascade point-process neural encoding models
    • Paninski, L. (2004). Maximum likelihood estimation of cascade point-process neural encoding models. Network: Computation in Neural Systems, 15, 243-262.
    • (2004) Network: Computation in Neural Systems , vol.15 , pp. 243-262
    • Paninski, L.1
  • 58
    • 18744390761 scopus 로고    scopus 로고
    • Asymptotic theory of information-theoretic experimental design
    • Paninski, L. (2005). Asymptotic theory of information-theoretic experimental design. Neural Computation, 17(7), 1480-1507.
    • (2005) Neural Computation , vol.17 , Issue.7 , pp. 1480-1507
    • Paninski, L.1
  • 60
    • 4744360960 scopus 로고    scopus 로고
    • Superlinear population encoding of dynamic hand trajectory in primary motor cortex
    • Paninski, L., Shoham, S., Fellows, M. R., Hatsopoulos, N. G., & Donoghue, J. P. (2004). Superlinear population encoding of dynamic hand trajectory in primary motor cortex. Journal of Neuroscience, 24(39), 8551-8561.
    • (2004) Journal of Neuroscience , vol.24 , Issue.39 , pp. 8551-8561
    • Paninski, L.1    Shoham, S.2    Fellows, M.R.3    Hatsopoulos, N.G.4    Donoghue, J.P.5
  • 62
    • 28044458279 scopus 로고    scopus 로고
    • Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model
    • Pillow, J. W., Paninski, L., Uzzell, V. J., Simoncelli, E. P., & Chichilnisky, E. J. (2005). Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. J. Neurosci., 25(47), 11003-11013.
    • (2005) J. Neurosci. , vol.25 , Issue.47 , pp. 11003-11013
    • Pillow, J.W.1    Paninski, L.2    Uzzell, V.J.3    Simoncelli, E.P.4    Chichilnisky, E.J.5
  • 63
    • 0036314487 scopus 로고    scopus 로고
    • Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex
    • Ringach, D. L. (2002). Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex. J. Neurophysiol, 88(1), 455-463.
    • (2002) J. Neurophysiol , vol.88 , Issue.1 , pp. 455-463
    • Ringach, D.L.1
  • 64
    • 0037079678 scopus 로고    scopus 로고
    • On the use of generalized linear models following a sequential design
    • Rosenberger, W. F., & Hu, M. X. (2002). On the use of generalized linear models following a sequential design. Statistics and Probability Letters, 56(2), 155-161.
    • (2002) Statistics and Probability Letters , vol.56 , Issue.2 , pp. 155-161
    • Rosenberger, W.F.1    Hu, M.X.2
  • 65
    • 67650309256 scopus 로고    scopus 로고
    • Convergence properties of sequential Bayesian D-optimal designs with applications to phase I clinical trials
    • (in press)
    • Roy, A., Ghosal, S., & Rosenberger, W. F. (in press). Convergence properties of sequential Bayesian D-optimal designs with applications to phase I clinical trials. Journal of Statistical Planning and Inference.
    • Journal of Statistical Planning and Inference
    • Roy, A.1    Ghosal, S.2    Rosenberger, W.F.3
  • 66
  • 67
    • 34548176044 scopus 로고    scopus 로고
    • Unpublished doctoral dissertation, University of Pennsylvania
    • Schein, A. (2005). Active learning for logistic regression. Unpublished doctoral dissertation, University of Pennsylvania.
    • (2005) Active learning for logistic regression
    • Schein, A.1
  • 70
    • 38049145045 scopus 로고    scopus 로고
    • Bayesian inference and optimal design in the sparse linear model
    • In N.P.: Society for Artificial Intelligence and Statistics. N.P.: Society for Artificial Intelligence and Statistics
    • Seeger, M., Steinke, F., & Tsuda, K. (2007). Bayesian inference and optimal design in the sparse linear model. In Proc. 11th International Workshop on Artificial Intelligence and Statistics. N.P.: Society for Artificial Intelligence and Statistics.
    • (2007) Proc. 11th International Workshop on Artificial Intelligence and Statistics
    • Seeger, M.1    Steinke, F.2    Tsuda, K.3
  • 72
    • 2542438416 scopus 로고    scopus 로고
    • Characterization of neural responses with stochastic stimuli
    • In M. Gazzaniga (Ed.), (3rd ed.), Cambridge, MA: MIT Press
    • Simoncelli, E., Paninski, L., Pillow, J., & Schwartz, O. (2004). Characterization of neural responses with stochastic stimuli. In M. Gazzaniga (Ed.), The cognitive neurosciences. (3rd ed.). Cambridge, MA: MIT Press.
    • (2004) The cognitive neurosciences
    • Simoncelli, E.1    Paninski, L.2    Pillow, J.3    Schwartz, O.4
  • 73
    • 33644513420 scopus 로고    scopus 로고
    • Efficient auditory coding
    • Smith, E. C., & Lewicki, M. S. (2006). Efficient auditory coding. Nature, 439(7079), 978-982.
    • (2006) Nature , vol.439 , Issue.7079 , pp. 978-982
    • Smith, E.C.1    Lewicki, M.S.2
  • 74
    • 0042235146 scopus 로고    scopus 로고
    • Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli
    • Theunissen, F. E., David, S. V., Singh, N. C., Hsu, A., Vinje, W. E., & Gallant, J. L. (2001). Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli. Network-Computation in Neural Systems, 12(3), 289-316.
    • (2001) Network-Computation in Neural Systems , vol.12 , Issue.3 , pp. 289-316
    • Theunissen, F.E.1    David, S.V.2    Singh, N.C.3    Hsu, A.4    Vinje, W.E.5    Gallant, J.L.6
  • 75
    • 34347235785 scopus 로고    scopus 로고
    • Cambridge, MA: MIT Press
    • Todorov, E. (2006). Bayesian brain. Cambridge, MA: MIT Press.
    • (2006) Bayesian brain
    • Todorov, E.1
  • 76
    • 12544253489 scopus 로고    scopus 로고
    • A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects
    • Truccolo, W., Eden, U. T., Fellows, M. R., Donoghue, J. P., & Brown, E. N. (2005). A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. Journal of Neurophysiology, 93(2), 1074-1089.
    • (2005) Journal of Neurophysiology , vol.93 , Issue.2 , pp. 1074-1089
    • Truccolo, W.1    Eden, U.T.2    Fellows, M.R.3    Donoghue, J.P.4    Brown, E.N.5
  • 79
    • 0020713980 scopus 로고
    • Quest: A Bayesian adaptive psychophysical method
    • Watson, A., & Pelli, D. (1983). Quest: A Bayesian adaptive psychophysical method. Perception and Psychophysics, 33, 113-120.
    • (1983) Perception and Psychophysics , vol.33 , pp. 113-120
    • Watson, A.1    Pelli, D.2
  • 80
    • 85041988327 scopus 로고
    • On the existence and uniqueness of the maximum likelihood estimator for certain generalized linear models
    • Wedderburn, R. (1976). On the existence and uniqueness of the maximum likelihood estimator for certain generalized linear models. Biometrika, 63, 27-32.
    • (1976) Biometrika , vol.63 , pp. 27-32
    • Wedderburn, R.1
  • 81
    • 0001396096 scopus 로고
    • Asymptotic inference from sequential design in a nonlinear situation
    • Wu, C. F. J. (1985). Asymptotic inference from sequential design in a nonlinear situation. Biometrika, 72(3), 553-558.
    • (1985) Biometrika , vol.72 , Issue.3 , pp. 553-558
    • Wu, C.F.J.1
  • 82
    • 33748355794 scopus 로고    scopus 로고
    • Complete functional characterization of sensory neurons by system identification
    • Wu, M. C. K., David, S. V., & Gallant, J. L. (2006). Complete functional characterization of sensory neurons by system identification. Annual Review of Neuroscience, 29, 477-505.
    • (2006) Annual Review of Neuroscience , vol.29 , pp. 477-505
    • Wu, M.C.K.1    David, S.V.2    Gallant, J.L.3


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