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Author:
John G. Taylor: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel Gembris, John G. Taylor, Stefan Schor, Dieter Suter, Stefan Posse
    Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1998, pp:- [Conf]
  2. Winfried A. Fellenz, John G. Taylor
    Establishing retinotopy by lateral-inhibition type homogeneous neural fields. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:431-436 [Conf]
  3. Paulo J. L. Adeodato, John G. Taylor
    Autoassociative Memory with high Storage Capacity. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:29-34 [Conf]
  4. Stavroula-Evita Fotinea, Stelios Bakamidis, Theologos Athanaselis, Ioannis Dologlou, George Carayannis, Roddy Cowie, Ellen Douglas-Cowie, Nickolaos F. Fragopanagos, John G. Taylor
    Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:1125-1132 [Conf]
  5. Stathis Kasderidis, John G. Taylor
    Combining Attention and Value Maps. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:79-84 [Conf]
  6. Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi
    Drawing Attention to the Dangerous. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:909-916 [Conf]
  7. Dirk Husmeier, John G. Taylor
    Modeling Conditional Probabilities with Committees of RVFL Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:1053-1058 [Conf]
  8. John G. Taylor
    A Review of Cognitive Processing in the Brain. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:97-102 [Conf]
  9. John G. Taylor
    Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:535-542 [Conf]
  10. John G. Taylor
    Towards a Control Theory of Attention. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:461-470 [Conf]
  11. John G. Taylor, Nickolaos F. Fragopanagos, Roddy Cowie, Ellen Douglas-Cowie, Stavroula-Evita Fotinea, Stefanos D. Kollias
    An Emotional Recognition Architecture Based on Human Brain Structure. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:1133-1142 [Conf]
  12. John Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten
    Modelling Working Memory Through Attentional Mechanisms. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:553-562 [Conf]
  13. Neill R. Taylor, Matthew Hartley, John G. Taylor
    Coding of Objects in Low-Level Visual Cortical Areas. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:57-63 [Conf]
  14. John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley
    A Basis for Cognitive Machines. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:573-582 [Conf]
  15. Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor
    Occlusion, Attention and Object Representations. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:592-601 [Conf]
  16. Neill R. Taylor, John G. Taylor
    Neural Nets for Short Movements in Natural Language Processing. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1205-1210 [Conf]
  17. Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann
    Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:115-120 [Conf]
  18. Bruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk
    A General Framework for Symbol and Rule Extraction in Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:87-92 [Conf]
  19. Winfried A. Fellenz, John G. Taylor
    The Hidden Layer Associative Memory Model of Hippocampus. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:205-210 [Conf]
  20. Winfried A. Fellenz, John G. Taylor, Roddy Cowie, Ellen Douglas-Cowie, Frédéric Piat, Stefanos D. Kollias, Christos Orovas, Bruno Apolloni
    On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:93-98 [Conf]
  21. John G. Taylor
    A General Framework for the Functions of the Brain. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:35-40 [Conf]
  22. John G. Taylor
    Towards Understanding Images of the Mind. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:177-184 [Conf]
  23. Neill R. Taylor, John G. Taylor
    Is There More to TSSG than Associative Chaining (Chunking and All That)? [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:217-224 [Conf]
  24. John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas
    Constructing Symbols as Manipulable Structures by Recurrent Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:99-104 [Conf]
  25. John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine
    The Frontal Lobes and Executive Function. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:41-46 [Conf]
  26. Valeriu Beiu, John G. Taylor
    Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:822-829 [Conf]
  27. Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor
    The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:465-470 [Conf]
  28. Y. Guan, Trevor G. Clarkson, John G. Taylor
    Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:441-447 [Conf]
  29. Stathis Kasderidis, John G. Taylor
    Attention-Based Robot Control. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:615-621 [Conf]
  30. John G. Taylor
    The CODAM Model and Deficits of Consciousness I: CODAM. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1130-1139 [Conf]
  31. John G. Taylor
    CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1140-1148 [Conf]
  32. John G. Taylor, Nickolaos F. Fragopanagos
    ANNA: An Artificial Neural Network for Attention to Emotional Recognition. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:607-614 [Conf]
  33. John G. Taylor
    Images of the Mind: Brain Images and Neural Networks. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:20-38 [Conf]
  34. Rasmus S. Petersen, John G. Taylor
    Reorganisation of Somatosensory Cortex after Tactile Training. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:82-88 [Conf]
  35. Paulo J. L. Adeodato, John G. Taylor
    Stability analysis of pRAM reinforcement learning. [Citation Graph (0, 0)][DBLP]
    SBRN, 1997, pp:41-50 [Conf]
  36. John G. Taylor
    Bringing AI and Soft Computing Together: A Neurobiological Perspective. [Citation Graph (0, 0)][DBLP]
    Intelligent Systems and Soft Computing, 2000, pp:41-71 [Conf]
  37. John G. Taylor
    Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004). [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2005, v:169, n:2, pp:192-195 [Journal]
  38. John G. Taylor
    Neural Network Capacity for Temporal Sequence Storage. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1991, v:2, n:1-2, pp:47-54 [Journal]
  39. Winfried A. Fellenz, John G. Taylor
    Establishing retinotopy by lateral-inhibition type homogeneous neural fields. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:313-322 [Journal]
  40. Winfried A. Fellenz, John G. Taylor
    The hidden-layer model of hippocampus. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:50, n:, pp:31-50 [Journal]
  41. Denise Gorse, David A. Romano-Critchley, John G. Taylor
    A pulse-based reinforcement algorithm for learning continuous functions. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:14, n:4, pp:319-344 [Journal]
  42. John G. Taylor
    A competition for consciousness? [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1996, v:11, n:2-4, pp:271-296 [Journal]
  43. Matthew Hartley, Neill R. Taylor, John G. Taylor
    Understanding spike-time-dependent plasticity: A biologically motivated computational model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2005-2016 [Journal]
  44. Oury Monchi, John G. Taylor
    A Hard Wired Model of Coupled Frontal Working memories for various Tasks. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1999, v:113, n:3-4, pp:221-243 [Journal]
  45. Artur S. d'Avila Garcez, Dov M. Gabbay, Steffen Hölldobler, John G. Taylor
    Journal of Applied Logic Special Volume on Neural-Symbolic Systems. [Citation Graph (0, 0)][DBLP]
    J. Applied Logic, 2004, v:2, n:3, pp:241-243 [Journal]
  46. Patrick May, Hannu Tiitinen, Risto J. Ilmoniemi, Göte Nyman, John G. Taylor, Risto Näätänen
    Frequency Change Detection in Human Auditory Cortex. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 1999, v:6, n:2, pp:99-120 [Journal]
  47. Guido Bugmann, Chris Christodoulou, John G. Taylor
    Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:5, pp:985-1000 [Journal]
  48. Shun-ichi Amari, Stephen Grossberg, John G. Taylor
    Editorial. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:1, pp:1-0 [Journal]
  49. Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
    A dynamical model for the analysis and acceleration of learning in feedforward networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:8, pp:1075-1088 [Journal]
  50. Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
    Dynamics of multilayer networks in the vicinity of temporary minima. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:1, pp:43-58 [Journal]
  51. Valeriu Beiu, John G. Taylor
    On the Circuit Complexity of Sigmoid Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:7, pp:1155-1171 [Journal]
  52. Bruno Apolloni, Diego de Falco, John G. Taylor
    pRAM layout optimisation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:9, pp:1709-1716 [Journal]
  53. Paul C. Bressloff, John G. Taylor
    Discrete time leaky integrator network with synaptic noise. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:6, pp:789-801 [Journal]
  54. Paul C. Bressloff, John G. Taylor
    Dynamics of compartmental model neurons. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:6-7, pp:1153-1165 [Journal]
  55. Geoffrey J. Chappell, John G. Taylor
    The temporal Kohönen map. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:3, pp:441-445 [Journal]
  56. Trevor G. Clarkson, John G. Taylor, Denise Gorse
    Response to letter by K. Gurney. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:3, pp:491-0 [Journal]
  57. Stephen Coombes, John G. Taylor
    Using Features for the Storage of Patterns in a Fully Connected Net. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:5, pp:837-844 [Journal]
  58. Nickolaos F. Fragopanagos, John G. Taylor
    Emotion recognition in human-computer interaction. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:4, pp:389-405 [Journal]
  59. Denise Gorse, Adrian J. Sheperd, John G. Taylor
    The New ERA in Supervised Learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:2, pp:343-352 [Journal]
  60. Denise Gorse, John G. Taylor
    A continuous input RAM-based stochastic neural model. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:5, pp:657-665 [Journal]
  61. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Editorial for 2002: A Time of Exuberant Development. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:1, pp:1-0 [Journal]
  62. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Celebrating the Year with a Special Issue for IJCNN'03. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:1, pp:1- [Journal]
  63. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Another exciting year for the INNS/ENNS/JNNS journal! [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:1- [Journal]
  64. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    A year of exciting Special Issues! [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:1, pp:13-0 [Journal]
  65. Stephen Grossberg, John G. Taylor
    The fifth anniversary of neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:1, pp:1- [Journal]
  66. Stephen Grossberg, John G. Taylor
    Introduction: 1994 Special issue. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:6-7, pp:863-0 [Journal]
  67. Y. Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse
    Noisy reinforcement training for pRAM nets. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:3, pp:523-528 [Journal]
  68. Matthew Hartley, Neill R. Taylor, John G. Taylor
    Subfield variations in hippocampal processing--components of a spatial navigation system. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:5-6, pp:611-619 [Journal]
  69. Barry Horwitz, Karl J. Friston, John G. Taylor
    Neural modeling and functional brain imaging: an overview. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:8-9, pp:829-846 [Journal]
  70. Dirk Husmeier, John G. Taylor
    Predicting Conditional Probability Densities of Stationary Stochastic Time Series. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:479-497 [Journal]
  71. Dirk Husmeier, John G. Taylor
    Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:1, pp:89-116 [Journal]
  72. Bernd J. Krause, John G. Taylor, Daniela Schmidt, Hubertus Hautzel, Felix M. Mottaghy, Hans-W. Müller-Gärtner
    Imaging and neural modelling in episodic and working memory processes. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:8-9, pp:847-859 [Journal]
  73. Oury Monchi, John G. Taylor, Alain Dagher
    A neural model of working memory processes in normal subjects, Parkinson's disease and schizophrenia for fMRI design and predictions. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:8-9, pp:953-973 [Journal]
  74. Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor
    pRAM nets for detection of small targets in sequences of infra-red images. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:7-8, pp:1227-1237 [Journal]
  75. Michael Reiss, John G. Taylor
    Storing temporal sequences. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:6, pp:773-787 [Journal]
  76. John G. Taylor
    A silicon model of vertebrate retinal processing. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1990, v:3, n:2, pp:171-178 [Journal]
  77. John G. Taylor
    Goals, drives, and consciousness. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:6-7, pp:1181-1190 [Journal]
  78. John G. Taylor
    Neural networks for consciousness. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:7, pp:1207-1225 [Journal]
  79. John G. Taylor
    Towards the networks of the brain: from brain imaging to consciousness. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:7-8, pp:943-959 [Journal]
  80. John G. Taylor, Stephen Coombes
    Learning higher order correlations. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:3, pp:423-427 [Journal]
  81. John G. Taylor, Nickolaos F. Fragopanagos
    The interaction of attention and emotion. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:4, pp:353-369 [Journal]
  82. John G. Taylor, Barry Horwitz, Karl J. Friston
    The global brain: imaging and modelling: Introduction: 2000 Special Issue. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:8-9, pp:827-0 [Journal]
  83. John G. Taylor, Barry Horwitz, N. J. Shah, Winfried A. Fellenz, Hans-W. Müller-Gärtner, Bernd J. Krause
    Decomposing memory: functional assignments and brain traffic in paired word associate learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:8-9, pp:923-940 [Journal]
  84. John G. Taylor, Hans-W. Müller-Gärtner
    Non-Invasive Analysis of Awareness. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:7, pp:1185-1194 [Journal]
  85. John G. Taylor, M. Rogers
    A control model of the movement of attention. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:3, pp:309-326 [Journal]
  86. John G. Taylor, Klaus R. Scherer, Roddy Cowie
    Emotion and brain: Understanding emotions and modelling their recognition. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:4, pp:313-316 [Journal]
  87. Neill R. Taylor, John G. Taylor
    Hard-wired models of working memory and temporal sequence storage and generation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:2, pp:201-224 [Journal]
  88. Neill R. Taylor, Matthew Hartley, John G. Taylor
    The micro-structure of attention. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:9, pp:1347-1370 [Journal]
  89. Nienke J. H. Korsten, Nickolaos F. Fragopanagos, Matthew Hartley, Neill R. Taylor, John G. Taylor
    Attention as a controller. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:9, pp:1408-1421 [Journal]
  90. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
    Editorial for 2007: Another year of exciting special issues! [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:1, pp:10-11 [Journal]
  91. Trevor G. Clarkson, Denise Gorse, John G. Taylor, C. K. Ng
    Learning Probabilistic RAM Nets Using VLSI Structures. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1992, v:41, n:12, pp:1552-1561 [Journal]
  92. John G. Taylor, Andreas A. Ioannides, Hans-W. Müller-Gärtner
    Mathematical Analysis of Lead Field Expansions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1999, v:18, n:2, pp:151-163 [Journal]
  93. Matthew Hartley, John G. Taylor
    A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:899-911 [Conf]
  94. Nienke J. H. Korsten, Nickolaos F. Fragopanagos, John G. Taylor
    Neural Substructures for Appraisal in Emotion: Self-esteem and Depression. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:850-858 [Conf]
  95. Neill R. Taylor, John G. Taylor
    A Novel Novelty Detector. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:973-983 [Conf]
  96. John G. Taylor, Nickolaos F. Fragopanagos
    Modelling the N2pc and Its Interaction with Value. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:879-888 [Conf]
  97. Nicolas Tsapatsoulis, Stathis Kasderidis, John G. Taylor
    An Attention-Based Architecture for Context Switch Detection. [Citation Graph (0, 0)][DBLP]
    The Disappearing Computer, 2007, pp:205-229 [Conf]

  98. Mental Simulation, Attention and Creativity. [Citation Graph (, )][DBLP]


  99. Consciousness versus Attention. [Citation Graph (, )][DBLP]


  100. An intelligent system for facial emotion recognition. [Citation Graph (, )][DBLP]


  101. A neural model of the enhancement of perception caused by emotional cues. [Citation Graph (, )][DBLP]


  102. The Role of Attention in Creating a Cognitive System. [Citation Graph (, )][DBLP]


  103. Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory. [Citation Graph (, )][DBLP]


  104. Compartmental-model response function for dendritic trees. [Citation Graph (, )][DBLP]


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