Terrence J. Sejnowski Vis

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114EEJiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski: Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. IEEE Transactions on Audio, Speech & Language Processing 17(1): 24-37 (2009)
113EEKlaus M. Stiefel, Boris S. Gutkin, Terrence J. Sejnowski: The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons. Journal of Computational Neuroscience 26(2): 289-301 (2009)
112EEBernhard Englitz, Klaus M. Stiefel, Terrence J. Sejnowski: Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms. Neural Computation 20(1): 44-64 (2008)
111EEScott B. Baden, Terrence J. Sejnowski, Thomas M. Bartol, Joel Stiles: Toward Petascale Simulation of Cellular Microphysiology. BIBE 2007: 628-634
110EEOdelia Schwartz, Terrence J. Sejnowski, Peter Dayan: Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. Neural Computation 18(11): 2680-2718 (2006)
109EEJyoti Mishra, Jean-Marc Fellous, Terrence J. Sejnowski: Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron. Neural Networks 19(9): 1329-1346 (2006)
108EEJörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig: Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. Neurocomputing 69(13-15): 1502-1512 (2006)
107EEOdelia Schwartz, Terrence J. Sejnowski, Peter Dayan: A Bayesian Framework for Tilt Perception and Confidence. NIPS 2005
106EEJörn Anemüller, Terrence J. Sejnowski, Scott Makeig: Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals. ICA 2004: 1009-1016
105EEJörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig: Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA. ICA 2004: 1103-1110
104EEGregory T. Balls, Scott B. Baden, Tilman Kispersky, Thomas M. Bartol, Terrence J. Sejnowski: A Large Scale Monte Carlo Simulator for Cellular Microphysiology. IPDPS 2004
103EEOdelia Schwartz, Terrence J. Sejnowski, Peter Dayan: Assignment of Multiplicative Mixtures in Natural Images. NIPS 2004
102EEPaul H. E. Tiesinga, Terrence J. Sejnowski: Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks. Neural Computation 16(2): 251-275 (2004)
101EEPaul H. E. Tiesinga, Jean-Marc Fellous, Emilio Salinas, Jorge V. José, Terrence J. Sejnowski: Synchronization as a mechanism for attentional gain modulation. Neurocomputing 58-60: 641-646 (2004)
100 J. R. Stiles, W. C. Ford, J. M. Pattillo, T. E. Deerinck, Mark H. Ellisman, Thomas M. Bartol, Terrence J. Sejnowski: Spatially Realistic Computational Physiology: Past, Present and Future. PARCO 2003: 685-694
99EEJörn Anemüller, Terrence J. Sejnowski, Scott Makeig: Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data CoRR q-bio.QM/0310011: (2003)
98EEKenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski: Dictionary Learning Algorithms for Sparse Representation. Neural Computation 15(2): 349-396 (2003)
97EEEizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski: Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. Neural Computation 15(2): 397-417 (2003)
96EEKwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Variational Bayesian Learning of ICA with Missing Data. Neural Computation 15(8): 1991-2011 (2003)
95EEJörn Anemüller, Terrence J. Sejnowski, Scott Makeig: Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks 16(9): 1311-1323 (2003)
94EEJutta Kretzberg, Terrence J. Sejnowski, Anne-Kathrin Warzecha, Martin Egelhaaf: Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs. Neurocomputing 52-54: 313-320 (2003)
93EEMarian Stewart Bartlett, Gwen Littlewort, Bjorn Braathen, Terrence J. Sejnowski, Javier R. Movellan: A Prototype for Automatic Recognition of Spontaneous Facial Actions. NIPS 2002: 1271-1278
92EEJavier R. Movellan, Thomas Wachtler, Thomas D. Albright, Terrence J. Sejnowski: Factorial Coding of Color in Primary Visual Cortex. NIPS 2002: 205-212
91EEKwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Handling Missing Data with Variational Bayesian Learning of ICA. NIPS 2002: 881-888
90EERoland E. Suri, Terrence J. Sejnowski: Spike propagation synchronized by temporally asymmetric Hebbian learning. Biological Cybernetics 87(5-6): 440-445 (2002)
89EEKwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. Journal of Machine Learning Research 3: 99-114 (2002)
88EELaurenz Wiskott, Terrence J. Sejnowski: Slow Feature Analysis: Unsupervised Learning of Invariances. Neural Computation 14(4): 715-770 (2002)
87EEPaul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski: Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains. Neural Computation 14(7): 1629-1650 (2002)
86EEEmilio Salinas, Terrence J. Sejnowski: Integrate-and-Fire Neurons Driven by Correlated Stochastic Input. Neural Computation 14(9): 2111-2155 (2002)
85EEArnaud Delorme, Scott Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski: From single-trial EEG to brain area dynamics. Neurocomputing 44-46: 1057-1064 (2002)
84EEPaul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski: Spike-time reliability of periodically driven integrate-and-fire neurons. Neurocomputing 44-46: 195-200 (2002)
83EEF. W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard: Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing 44-46: 453-458 (2002)
82EEMichael I. Jordan, Terrence J. Sejnowski: Graphical Models: Foundations of Neural Computation. Pattern Anal. Appl. 5(4): 401-402 (2002)
81 Olivier J. M. D. Coenen, Michael P. Arnold, Terrence J. Sejnowski, Marwan A. Jabri: Parallel Fiber Coding in the Cerebellum for Life-Long Learning. Auton. Robots 11(3): 291-297 (2001)
80EERajesh P. N. Rao, Terrence J. Sejnowski: Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. Neural Computation 13(10): 2221-2237 (2001)
79 Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski: Optimal Smoothing in Visual Motion Perception. Neural Computation 13(6): 1243-1253 (2001)
78EEMartina Wicklein, Terrence J. Sejnowski: Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera). Neurocomputing 38-40: 1595-1602 (2001)
77EEArthur R. Houweling, Rashmi H. Modi, Paul Ganter, Jean-Marc Fellous, Terrence J. Sejnowski: Models of frequency preferences of prefrontal cortical neurons. Neurocomputing 38-40: 231-238 (2001)
76EEPaul H. E. Tiesinga, Jean-Marc Fellous, Jorge V. José, Terrence J. Sejnowski: Optimal information transfer in synchronized neocortical neurons. Neurocomputing 38-40: 397-402 (2001)
75EEJean-Marc Fellous, Paul H. E. Tiesinga, Jorge V. José, Terrence J. Sejnowski: Computational model of carbachol-induced delta, theta and gamma-like oscillations in hippocampus. Neurocomputing 38-40: 587-593 (2001)
74EEKevin M. Franks, Thomas M. Bartol, Terrence J. Sejnowski: An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines. Neurocomputing 38-40: 9-16 (2001)
73EETe-Won Lee, Thomas Wachtler, Terrence J. Sejnowski: The Spectral Independent Components of Natural Scenes. Biologically Motivated Computer Vision 2000: 527-534
72EEMarwan A. Jabri, Ki-Young Park, Soo-Young Lee, Terrence J. Sejnowski: Properties of Independent Components of Self-Motion Optical Flow. ISMVL 2000: 355-
71 Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski: Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. NIPS 2000: 866-872
70 Michael S. Gray, Terrence J. Sejnowski, Javier R. Movellan: A Comparison of Image Processing Techniques for Visual Speech Recognition Applications. NIPS 2000: 939-945
69EETe-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1078-1089 (2000)
68 Michael S. Lewicki, Terrence J. Sejnowski: Learning Overcomplete Representations. Neural Computation 12(2): 337-365 (2000)
67EERajesh P. N. Rao, Terrence J. Sejnowski: Predictive Sequence Learning in Recurrent Neocortical Circuits. NIPS 1999: 164-170
66EEMarian Stewart Bartlett, Gianluca Donato, Javier R. Movellan, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski: Image Representations for Facial Expression Coding. NIPS 1999: 886-892
65EEGianluca Donato, Marian Stewart Bartlett, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski: Classifying Facial Actions. IEEE Trans. Pattern Anal. Mach. Intell. 21(10): 974-989 (1999)
64 Kechen Zhang, Terrence J. Sejnowski: Neuronal tuning: To Sharpen or Broaden? Neural Computation 11(1): 75-84 (1999)
63 Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski: Relation Between Retinotopical and Orientation Maps in Visual Cortex. Neural Computation 11(2): 375-379 (1999)
62 Te-Won Lee, Mark Girolami, Terrence J. Sejnowski: Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Computation 11(2): 417-441 (1999)
61 Sidney R. Lehky, Terrence J. Sejnowski: Seeing White: Qualia in the Context of Decoding Population Codes. Neural Computation 11(6): 1261-1280 (1999)
60EEArthur R. Houweling, Maxim Bazhenov, Igor Timofeev, Mircea Steriade, Terrence J. Sejnowski: Cortical and thalamic components of augmenting responses: A modeling study. Neurocomputing 26-27: 735-742 (1999)
59EETzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski: Analyzing and Visualizing Single-Trial Event-Related Potentials. NIPS 1998: 118-124
58EETe-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514
57EEMichael S. Lewicki, Terrence J. Sejnowski: Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS 1998: 730-736
56 Laurenz Wiskott, Terrence J. Sejnowski: Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization. Neural Computation 10(3): 671-716 (1998)
55 Laurenz Wiskott, Terrence J. Sejnowski: Objective Functions for Neural Map Formation. ICANN 1997: 243-248
54 Raphael Ritz, Terrence J. Sejnowski: Correlation Coding in Stochastic Neural Networks. ICANN 1997: 79-84
53 Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski: Extended ICA Removes Artifacts from Electroencephalographic Recordings. NIPS 1997
52 Michael S. Lewicki, Terrence J. Sejnowski: Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS 1997
51EEGeoffrey J. Goodhill, Terrence J. Sejnowski: A Unifying Objective Function for Topographic Mappings. Neural Computation 9(6): 1291-1303 (1997)
50EEMagnus Stensmo, Terrence J. Sejnowski: Learning Decision Theoretic Utilities through Reinforcement Learning. NIPS 1996: 1061-1067
49EEAkaysha C. Tang, Andreas M. Bartels, Terrence J. Sejnowski: Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input. NIPS 1996: 111-117
48EEMichael S. Lewicki, Terrence J. Sejnowski: Bayesian Unsupervised Learning of Higher Order Structure. NIPS 1996: 529-535
47EEMichael S. Gray, Javier R. Movellan, Terrence J. Sejnowski: Dynamic Features for Visual Speechreading: A Systematic Comparison. NIPS 1996: 751-757
46EEMarian Stewart Bartlett, Terrence J. Sejnowski: Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks. NIPS 1996: 817-823
45EEAnthony J. Bell, Terrence J. Sejnowski: Edges are the Independent Components of Natural Scenes. NIPS 1996: 831-837
44EEMichael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski: Selective Integration: A Model for Disparity Estimation. NIPS 1996: 866-872
43EEGeorge N. Reeke Jr., Patricia S. Churchland, Terrence J. Sejnowski: The Computational Brain. Artif. Intell. 82(1-2): 381-391 (1996)
42 Peter Dayan, Terrence J. Sejnowski: Exploration Bonuses and Dual Control. Machine Learning 25(1): 5-22 (1996)
41EETerrence J. Sejnowski, Peter Dayan, P. Read Montague: Predictive Hebbian Learning. COLT 1995: 15-18
40EEAlexandre Pouget, Terrence J. Sejnowski: A Model of Spatial Representations in Parietal Cortex Explains Hemineglect. NIPS 1995: 10-16
39EEScott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski: Independent Component Analysis of Electroencephalographic Data. NIPS 1995: 145-151
38EEGeoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski: Optimizing Cortical Mappings. NIPS 1995: 330-336
37EENicol N. Schraudolph, Terrence J. Sejnowski: Tempering Backpropagation Networks: Not All Weights are Created Equal. NIPS 1995: 563-569
36EEMarian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman: Classifying Facial Action. NIPS 1995: 823-829
35EEPaul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski: Empirical Entropy Manipulation for Real-World Problems. NIPS 1995: 851-857
34EEOlivier J. M. D. Coenen, Terrence J. Sejnowski: A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular Reflex. NIPS 1995: 89-95
33EEScott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski: Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence. NIPS 1995: 931-937
32EEAnthony J. Bell, Terrence J. Sejnowski: An information-maximization approach to blind separation and blind deconvolution. Neural Computation 7(6): 1129-1159 (1995)
31 Michael S. Gray, David T. Lawrence, Beatrice A. Golomb, Terrence J. Sejnowski: A perceptron reveals the face of sex. Neural Computation 7(6): 1160-1164 (1995)
30EEKenji Doya, Terrence J. Sejnowski: A Novel Reinforcement Model of Birdsong Vocalization Learning. NIPS 1994: 101-108
29EEMagnus Stensmo, Terrence J. Sejnowski: A Mixture Model System for Medical and Machine Diagnosis. NIPS 1994: 1077-1084
28EEAlexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski: Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. NIPS 1994: 125-132
27EEAlexandre Pouget, Terrence J. Sejnowski: Spatial Representations in the Parietal Cortex May Use Basis Functions. NIPS 1994: 157-164
26EERichard S. Zemel, Terrence J. Sejnowski: Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. NIPS 1994: 165-172
25EEAnthony J. Bell, Terrence J. Sejnowski: A Non-linear Information Maximisation Algorithm that Performs Blind Separation. NIPS 1994: 467-474
24EENicol N. Schraudolph, Terrence J. Sejnowski: Plasticity-Mediated Competitive Learning. NIPS 1994: 475-480
23 Peter Dayan, Terrence J. Sejnowski: TD(lambda) Converges with Probability 1. Machine Learning 14(1): 295-301 (1994)
22EEAlain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski: An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding. Neural Computation 6(1): 14-18 (1994)
21EEJosef P. Rauschecker, Terrence J. Sejnowski: Processing of Visual and Auditory Space and Its Modification by Experience. NIPS 1993: 1186-1187
20EEP. Read Montague, Peter Dayan, Terrence J. Sejnowski: Foraging in an Uncertain Environment Using Predictive Hebbian Learning. NIPS 1993: 598-605
19EENicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski: Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993: 817-824
18EEPeter Dayan, Terrence J. Sejnowski: The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. Neural Computation 5(2): 205-209 (1993)
17EESteven J. Nowlan, Terrence J. Sejnowski: Filter Selection Model for Generating Visual Motion Signals. NIPS 1992: 369-376
16EENicol N. Schraudolph, Terrence J. Sejnowski: Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. NIPS 1992: 499-506
15EEOlivier J. M. D. Coenen, Terrence J. Sejnowski, Stephen G. Lisberger: Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex. NIPS 1992: 961-968
14EEP. Read Montague, Peter Dayan, Steven J. Nowlan, Terrence J. Sejnowski: Using Aperiodic Reinforcement for Directed Self-Organization During Development. NIPS 1992: 969-976
13EENicol N. Schraudolph, Terrence J. Sejnowski: Competitive Anti-Hebbian Learning of Invariants. NIPS 1991: 1017-1024
12EEPaul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski: Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion. NIPS 1991: 380-387
11EEAlexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski: Hierarchical Transformation of Space in the Visual System. NIPS 1991: 412-419
10EERita Venturini, William W. Lytton, Terrence J. Sejnowski: Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance. NIPS 1991: 651-658
9EEBeatrice A. Golomb, David T. Lawrence, Terrence J. Sejnowski: SEXNET: A Neural Network Identifies Sex From Human Faces. NIPS 1990: 572-579
8EETerrence J. Sejnowski, B. Yuhas, Moise H. Goldstein Jr., R. E. Jenkins: Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility. NIPS 1989: 232-239
7EEShawn R. Lockery, Yan Fang, Terrence J. Sejnowski: Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech. NIPS 1989: 28-35
6 Gerald Tesauro, Terrence J. Sejnowski: A Parallel Network that Learns to Play Backgammon. Artif. Intell. 39(3): 357-390 (1989)
5EEPatric K. Stanton, Terrence J. Sejnowski: Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the Hippocampus. NIPS 1988: 394-401
4EER. Paul Gorman, Terrence J. Sejnowski: Analysis of hidden units in a layered network trained to classify sonar targets. Neural Networks 1(1): 75-89 (1988)
3EEGerald Tesauro, Terrence J. Sejnowski: A 'Neural' Network that Learns to Play Backgammon. NIPS 1987: 794-803
2 David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski: A Learning Algorithm for Boltzmann Machines. Cognitive Science 9(1): 147-169 (1985)
1 Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski: Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. AAAI 1983: 109-113

Coauthor Index

1David H. Ackley [2]
2Thomas D. Albright [92]
3Jörn Anemüller [95] [99] [105] [106] [108]
4Michael P. Arnold [81]
5Hagai Attias (Hagai Thomas Attias) [114]
6Scott B. Baden [104] [111]
7Gregory T. Balls [104]
8Andreas M. Bartels [49]
9Marian Stewart Bartlett [36] [46] [65] [66] [93]
10Thomas M. Bartol [74] [100] [104] [111]
11Maxim Bazhenov [60] [83]
12Anthony J. Bell [25] [32] [39] [45]
13Bjorn Braathen [93]
14Kwokleung Chan [89] [91] [96]
15Patricia S. Churchland [43]
16Olivier J. M. D. Coenen [15] [34] [81]
17Eric Courchesne [59]
18Peter Dayan [14] [18] [19] [20] [23] [41] [42] [103] [107] [110]
19T. E. Deerinck [100]
20Cedric Deffayet [28]
21Arnaud Delorme [85]
22Alain Destexhe [22]
23Eizaburo Doi [97]
24Gianluca Donato [65] [66]
25Kenji Doya [30]
26Jeng-Ren Duann [105] [108]
27David M. Eagleman [79]
28Martin Egelhaaf [94]
29Paul Ekman [36] [65] [66]
30Mark H. Ellisman [100]
31Kjersti Engan [98]
32Bernhard Englitz [112]
33Udo Ernst (Udo A. Ernst) [63]
34Michèle Fabre-Thorpe [85]
35Scott E. Fahlman [1]
36Yan Fang [7]
37Jean-Marc Fellous [75] [76] [77] [84] [87] [101] [109]
38Steven Finch [38]
39Stephen A. Fisher [11]
40W. C. Ford [100]
41Kevin M. Franks [74]
42Paul Ganter [77]
43Mark A. Girolami (Mark Girolami) [62]
44Nigel H. Goddard [83]
45Moise H. Goldstein Jr. [8]
46Beatrice A. Golomb [9] [31] [36]
47Geoffrey J. Goodhill [38] [51]
48R. Paul Gorman [4]
49Michael S. Gray [31] [44] [47] [70]
50Boris S. Gutkin [113]
51Joseph C. Hager [36] [65] [66]
52Jiucang Hao [114]
53Geoffrey E. Hinton [1] [2]
54Arthur R. Houweling [60] [77]
55F. W. Howell [83]
56Colin Humphries [53]
57Toshio Inui [97]
58Vicente Iragui [53]
59Marwan A. Jabri [72] [81]
60R. E. Jenkins [8]
61Michael I. Jordan [82]
62Jorge V. José [75] [76] [101]
63Tzyy-Ping Jung [33] [39] [53] [59]
64Tilman Kispersky [104]
65Jutta Kretzberg [94]
66Kenneth Kreutz-Delgado [98]
67Jan Larsen [36]
68David T. Lawrence [9] [31]
69Soo-Young Lee [72]
70Te-Won Lee [53] [58] [62] [69] [71] [73] [89] [91] [96] [97] [98] [114]
71Sidney R. Lehky [61]
72Michael S. Lewicki [48] [52] [57] [58] [68] [69]
73Stephen G. Lisberger [12] [15]
74Gwen Littlewort [93]
75Shawn R. Lockery [7]
76William W. Lytton [10]
77Zachary F. Mainen [22]
78Scott Makeig [33] [39] [53] [59] [85] [95] [99] [105] [106] [108]
79Martin J. McKeown [53]
80Jyoti Mishra [109]
81Rashmi H. Modi [77]
82P. Read Montague [14] [20] [41]
83Javier R. Movellan [47] [66] [70] [92] [93]
84Joseph F. Murray [98]
85Srikantan S. Nagarajan [114]
86Steven J. Nowlan [14] [17] [44]
87Ki-Young Park [72]
88J. M. Pattillo [100]
89Klaus Pawelzik (Klaus R. Pawelzik) [63]
90Alexandre Pouget [11] [27] [28] [40] [44]
91Bhaskar D. Rao [98]
92Rajesh P. N. Rao [67] [79] [80]
93Josef P. Rauschecker [21]
94George N. Reeke Jr. [43]
95Raphael Ritz [54]
96P. Rogister [83]
97Emilio Salinas [86] [101]
98Nicol N. Schraudolph [13] [16] [19] [24] [35] [37]
99Odelia Schwartz [103] [107] [110]
100Patric K. Stanton [5]
101Magnus Stensmo [29] [50]
102Mircea Steriade [60]
103Klaus M. Stiefel [112] [113]
104J. R. Stiles [100]
105Joel Stiles [111]
106Roland E. Suri [90]
107Akaysha C. Tang [49]
108Gerald Tesauro [3] [6]
109Paul H. E. Tiesinga [75] [76] [84] [87] [101] [102]
110Igor Timofeev [60]
111Jeanne Townsend [59]
112Misha Tsodyks [63]
113Rita Venturini [10]
114Paul A. Viola [12] [35] [36]
115Thomas Wachtler [71] [73] [92] [97]
116Anne-Kathrin Warzecha [94]
117Marissa Westerfield [59]
118Martina Wicklein [78]
119Laurenz Wiskott [55] [56] [88]
120B. Yuhas [8]
121Richard S. Zemel [26] [44]
122Kechen Zhang [64]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)