Neurocomputing, Volume 58-60

Volume 58-60, June 2004

• Erik De Schutter:
  Computational Neuroscience: Trends in research 2004.
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• Ádám Kepecs, John Lisman:
  How to read a burst duration code. 1-6
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• Baktash Babadi:
  Stimulus transmission by tonic and burst responses in a minimal model of thalamic circuit. 7-12
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• Don H. Johnson, Raymon M. Glantz:
  When does interval coding occur? 13-18
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• Brendan Mumey, Aditi Sarkar, Tomás Gedeon, Alexander Dimitrov, John P. Miller:
  Finding neural codes using random projections. 19-25
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• Frances S. Chance, Alex D. Reyes:
  Controlling neuronal sensitivity to synchronous input. 27-31
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• Naoki Masuda, Kazuyuki Aihara:
  Dual coding and effects of global feedback in multilayered neural networks. 33-39
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• Antonio Tristán, Francisco de Borja Rodríguez Ortiz, Eduardo Serrano, Pablo Varona:
  Networks of neurons that emit and recognize signatures. 41-46
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• Jacob Kanev, Gregor Wenning, Klaus Obermayer:
  Approximating the response-stimulus correlation for the integrate-and-fire neuron. 47-52
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• Aurel A. Lazar:
  Time encoding with an integrate-and-fire neuron with a refractory period. 53-58
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• Joanna Tyrcha, William B. Levy:
  Another contribution by synaptic failures to energy efficient processing by neurons. 59-66
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• Jesús M. Cortés, P. L. Garrido, Joaquín Marro, Joaquín J. Torres:
  Switching between memories in neural automata with synaptic noise. 67-71
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• Michael G. Paulin, Larry F. Hoffman, Christopher Assad:
  Distributed coding by single spikes in the bullfrog vestibular nerve: a basis for dynamical computation in neural systems. 73-77
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• Janusz Szczepanski, José M. Amigó, Elek Wajnryb, Maria V. Sanchez-Vives:
  Characterizing spike trains with Lempel-Ziv complexity. 79-84
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• Kosuke Hamaguchi, Kazuyuki Aihara:
  Quantitative information transfer through layers of spiking neurons connected by Mexican-Hat-type connectivity. 85-90
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• Jadin C. Jackson, A. David Redish:
  Measuring ensemble consistency without measuring tuning curves. 91-99
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• David H. Goldberg, Andreas G. Andreou:
  Spike communication of dynamic stimuli: rate decoding versus temporal decoding. 101-107
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• Ludovic Alvado, Jean Tomas, Sylvain Saïghi, Sylvie Renaud, Thierry Bal, Alain Destexhe, Gwendal Le Masson:
  Hardware computation of conductance-based neuron models. 109-115
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• Tom Tetzlaff, Abigail Morrison, Theo Geisel, Markus Diesmann:
  Consequences of realistic network size on the stability of embedded synfire chains. 117-121
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• Yuval Aviel, David Horn, Moshe Abeles:
  Synfire waves in small balanced networks. 123-127
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• E. Olbrich, P. Achermann:
  Oscillatory events in the human sleep EEG - detection and properties. 129-135
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• Vicente Charcos Lloréns, Erik Fransén:
  Intrinsic desynchronization properties of neurons containing dendritic rapidly activating K-currents. 137-143
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• Timothy J. Lewis, John Rinzel:
  Dendritic effects in networks of electrically coupled fast-spiking interneurons. 145-150
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• Hiroshi Fujii, Ichiro Tsuda:
  Neocortical gap junction-coupled interneuron systems may induce chaotic behavior itinerant among quasi-attractors exhibiting transient synchrony. 151-157
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• Angelo Di Garbo, Alessandro Panarese, Santi Chillemi:
  Phase locking states between fast-spiking interneurons coupled by electrical and chemical synapses. 159-164
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• Zuohua Zhang, Dana H. Ballard:
  A single spike model of predictive coding. 165-171
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• Masaki Nomura, Toshio Aoyagi, Tomoki Fukai:
  Gamma frequency synchronization in a local cortical network model. 173-178
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• Erez Persi, David Horn, Ronen Segev, Eshel Ben-Jacob, Vladislav Volman:
  Neural modeling of synchronized bursting events. 179-184
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• Andreas Knoblauch, Friedrich T. Sommer:
  Spike-timing-dependent synaptic plasticity can form "zero lag links" for cortical oscillations. 185-190
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• Alain Destexhe, Mathilde Badoual, Zuzanna Piwkowska, Thierry Bal, Michael Rudolph:
  A novel method for characterizing synaptic noise in cortical neurons. 191-196
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• Rubén Moreno, Néstor Parga:
  Response of a LIF neuron to inputs filtered with arbitrary time scale. 197-202
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• Guibin Li, Jianfeng Feng:
  Stimulus-evoked synchronization in neuronal models. 203-208
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• Shinichi Nagai:
  Non-self-rejection by emergent structures on evolving networks of the spiking neurons. 209-214
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• Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin:
  Causal localization of neural function: the Shapley value method. 215-222
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• Péter András:
  Pattern languages: a new paradigm for neurocomputation. 223-228
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• Joaquín J. Torres, M. A. Muñoz, Joaquín Marro, P. L. Garrido:
  Influence of topology on the performance of a neural network. 229-234
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• Hiroshi Okamoto, Tomoki Fukai:
  Propagation of quasi-stable activation in a chain of recurrent neural networks. 235-238
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• Valeria Del Prete, Anthony C. C. Coolen:
  Non-equilibrium statistical mechanics of recurrent networks with realistic neurons. 239-244
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• Grzegorz M. Wojcik, Wieslaw A. Kaminski:
  Liquid state machine built of Hodgkin-Huxley neurons and pattern recognition. 245-251
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• Giancarlo La Camera, Walter Senn, Stefano Fusi:
  Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization. 253-258
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• Toshio Aoyagi, Takaaki Aoki:
  Possible role of synchronous input spike trains in controlling the function of neural networks. 259-264
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• Mark C. W. van Rossum, Alfonso Renart:
  Computation with populations codes in layered networks of integrate-and-fire neurons. 265-270
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• Martin Rehn, Anders Lansner:
  Sequence memory with dynamical synapses. 271-278
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• Maria Marinaro, Silvia Scarpetta:
  Noise induces synchronous and phase-locked oscillations in a cortical model. 279-284
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• Fabián P. Alvarez, Alain Destexhe:
  Simulating cortical network activity states constrained by intracellular recordings. 285-290
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• Arjen van Ooyen, Laurens Bosman, Arjen Brussaard:
  Influence of the decay time of the GABAergic postsynaptic current on the spatial spread of network activity. 291-295
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• Marcus Kaiser, Claus C. Hilgetag:
  Modelling the development of cortical systems networks. 297-302
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• Keren Saggie, Alon Keinan, Eytan Ruppin:
  Spikes that count: rethinking spikiness in neurally embedded systems. 303-311
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• Jaime de la Rocha, Rubén Moreno, Néstor Parga:
  Correlations modulate the non-monotonic response of a neuron with short-term plasticity. 313-319
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• Walter Senn, Stefano Fusi:
  Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem. 321-326
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• Christian D. Swinehart, Kris Bouchard, Peretz Partensky, L. F. Abbott:
  Control of network activity through neuronal response modulation. 327-335
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• Marta García-Sánchez, Ramón Huerta:
  Neural networks with Hebbian learning do not outperform random ones in fan-out systems. 337-342
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• William B. Levy:
  Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation. 343-350
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• Yutaka Sakai, Kaoru Nakano, Shuji Yoshizawa:
  Synaptic regulation on various STDP rules. 351-357
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• Clifton C. Rumsey, L. F. Abbott:
  Synaptic equalization by anti-STDP. 359-364
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• Christo Panchev, Stefan Wermter:
  Spike-timing-dependent synaptic plasticity: from single spikes to spike trains. 365-371
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• Valentin P. Zhigulin, Mikhail I. Rabinovich:
  An important role of spike timing dependent synaptic plasticity in the formation of synchronized neural ensembles. 373-378
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• Bruce H. McCormick, Wonryull Koh, Yoonsuck Choe, L. C. Abbott, John Keyser, David Mayerich, Zeki Melek, Purna Doddapaneni:
  Construction of anatomically correct models of mouse brain networks. 379-386
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• Michael Rudolph, J. Guillaume Pelletier, Denis Paré, Alain Destexhe:
  Estimation of synaptic conductances and their variances from intracellular recordings of neocortical neurons in vivo. 387-392
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• Nada A. B. Yousif, Michael J. Denham:
  Action potential backpropagation in a model thalamocortical relay cell. 393-400
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• Krisztina Szalisznyó, László Zalányi:
  Role of hyperpolarization-activated conductances in the auditory brainstem. 401-407
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• Carrie Diaz Eaton, Sharon Crook, Graham Cummins, Gwen Jacobs:
  Modeling ion channels from the cricket cercal sensory system. 409-415
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• Gideon Gradwohl, Yoram Grossman:
  Analysis of dendritic distribution of voltage-dependent channels effects on EPSP and its reciprocal inhibition in alpha-motoneurons: computer model. 417-422
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• M. Griffin, David M. Halliday:
  Axial current reversal promotes synchronous correlation between dendritic membrane potentials during large-scale synaptic input. 423-430
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• Kristofer Hallén, Mikael Huss, Petronella Kettunen, Abdeljabbar El Manira, Jeanette Hellgren Kotaleski:
  mGluR-Mediated calcium oscillations in the lamprey: a computational model. 431-435
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• David C. Sterratt, Arjen van Ooyen:
  Does a dendritic democracy need a ruler? 437-442
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• Kazuhisa Ichikawa:
  Localization of activated Ca²⁺/calmodulin-dependent protein kinase II within a spine: modeling and computer simulation. 443-448
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• Bruce P. Graham, Adrian Y. C. Wong, Ian D. Forsythe:
  A multi-component model of depression at the calyx of Held. 449-454
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• H. George E. Hentschel, Corneliu S. Pencea, A. Fine:
  Computing with calcium stores and diffusion. 455-460
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• Isao Goto, Shingo Kinoshita, Kiyohisa Natsume:
  The model of glutamate-induced intracellular Ca²⁺ oscillation and intercellular Ca²⁺ wave in brain astrocytes. 461-467
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• Maria Bykhovskaia, Elena Polagavea:
  Increase in the releasable pool of synaptic vesicles underlies facilitation. 469-476
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• Armen Stepanyants, Gábor Tamás, Dmitri B. Chklovskii:
  Are spatial positions of dendritic and axonal branches correlated or independent? 477-485
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• Orit Shefi, Amir Harel, Dmitri B. Chklovskii, Eshel Ben-Jacob, Amir Ayali:
  Biophysical constraints on neuronal branching. 487-495
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• Ronald A. J. van Elburg, Arjen van Ooyen:
  A new measure for bursting. 497-502
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• Seiichi Sakatani, Akira Hirose:
  Analysis of the influence of differences in somatic symmetry and sharpness on the firing rate. 503-509
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• Douglas R. McLean, Arjen van Ooyen, Bruce P. Graham:
  Continuum model for tubulin-driven neurite elongation. 511-516
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• R. Bormann, J.-L. Cabrera, John G. Milton, Christian W. Eurich:
  Visuomotor tracking on a computer screen - an experimental paradigm to study the dynamics of motor control. 517-523
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• Franck Carenzi, Patrice Bendahan, V. Y. Roschin, Alexander A. Frolov, Philippe Gorce, Marc A. Maier:
  A generic neural network for multi-modal sensorimotor learning. 525-533
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• Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona:
  Effect of individual spiking activity on rhythm generation of central pattern generators. 535-540
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• P. Dwight Kuo, Chris Eliasmith:
  Understanding interactions between networks controlling distinct behaviours: Escape and swimming in larval zebrafish. 541-547
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• Pablo Varona, Rafael Levi, Yuri I. Arshavsky, Mikhail I. Rabinovich, Allen I. Selverston:
  Competing sensory neurons and motor rhythm coordination. 549-554
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• Kevin N. Gurney, P. G. Overton:
  A model of short and long range selective processing in neostriatum. 555-562
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• Volker Steuber, Erik De Schutter, Dieter Jaeger:
  Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors. 563-568
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• Marja-Leena Linne, Tiina Manninen, Tuula O. Jalonen:
  A model integrating the cerebellar granule neuron excitability and calcium signaling pathways. 569-574
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• David Philipona, Olivier J. M. D. Coenen:
  Model of granular layer encoding in the cerebellum. 575-580
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• Luis M. Sarro:
  Characterization of dendrites as nonlinear computation devices. 581-586
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• Michiel Berends, Reinoud Maex, Erik De Schutter:
  A detailed three-dimensional model of the cerebellar granular layer. 587-592
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• Michele Bezzi, Thierry Nieus, Olivier J. M. D. Coenen, Egidio D'Angelo:
  An integrate-and-fire model of a cerebellar granule cell. 593-598
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• Gwendid T. van der Voort van der Kleij, Marc de Kamps, Frank van der Velde:
  Increasing number of objects impairs binding in visual working memory. 599-605
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• Frank van der Velde, Marc de Kamps, Gwendid T. van der Voort van der Kleij:
  CLAM: Closed-loop attention model for visual search. 607-612
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• Santiago Jaramillo, Barak A. Pearlmutter:
  A normative model of attention: receptive field modulation. 613-618
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• Takamasa Koshizen, Bernd Heisele, Hiroshi Tsujino:
  Expectation maximization of prefrontal-superior temporal network by indicator component-based approach. 619-624
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• David Eriksson:
  Extracting and exposing predictive cortical columns for selective attention. 625-631
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• Byung Taek Kim, Soo-Young Lee:
  Sequential recognition of superimposed patterns with top-down selective attention. 633-640
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• Paul H. E. Tiesinga, Jean-Marc Fellous, Emilio Salinas, Jorge V. José, Terrence J. Sejnowski:
  Synchronization as a mechanism for attentional gain modulation. 641-646
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• Luciana Carota, Giacomo Indiveri, Vittorio Dante:
  A software-hardware selective attention system. 647-653
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• Linda J. Lanyon, Susan L. Denham:
  A biased competition computational model of spatial and object-based attention mediating active visual search. 655-662
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• Hidetoshi Ikeno:
  Flight control of honeybee in the Y-maze. 663-668
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• Szabolcs Káli, Tamás F. Freund:
  The contributions of different interneuron types to the activity patterns and plasticity of pyramidal cells in the hippocampus. 669-674
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