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The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
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| Introduction | |
| An anti-Hebbian model of familiarity discrimination in the perirhinal cortex | p. 1 |
| Effects of short-term synaptic plasticity in a local microcircuit on cell firing | p. 7 |
| Learning temporal patterns by redistribution of synaptic efficacy | p. 13 |
| Detection of spike patterns using pattern filtering, with applications to sleep replay in birdsong | p. 19 |
| At what time scale does the nervous system operate? | p. 25 |
| Non-parametric significance estimation of joint-spike events by shuffling and resampling | p. 31 |
| Energy efficiency in a channel model for the spiking axon | p. 39 |
| Structural and biophysical mechanisms underlying dynamic sensitivity of primary sensory interneurons in the cricket cercal sensory system | p. 45 |
| Information processing during transient responses in the crayfish visual system | p. 53 |
| Stability analysis of entrainment by two periodic inputs with a fixed delay | p. 59 |
| Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG | p. 65 |
| Correlated neuronal activity can represent multiple binding solutions | p. 73 |
| Short-term synaptic dynamics promote phase maintenance in multi-phasic rhythms | p. 79 |
| Modeling of spontaneous synchronized periodic activity observed in in vitro networks | p. 89 |
| Synchronization of Purkinje cell pairs along the parallel fiber axis: a model | p. 97 |
| Burst firing improves the detection of weak signals in spike trains | p. 103 |
| Biases in white noise analysis due to non-Poisson spike generation | p. 109 |
| Temporal correlations of orientations in natural scenes | p. 117 |
| Role of synaptic feedback and intrinsic voltage-gated currents in shaping cone light responses | p. 125 |
| Adaptation of the temporal receptive fields of macaque V1 neurons | p. 135 |
| Functional roles of receptive field structures in the perception of orientation | p. 141 |
| Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a nonlinear model of neuronal dynamics | p. 151 |
| Evidence for slow (2-10 Hz) and gamma frequency coherence between spike trains and local field potentials in the cerebellum | p. 159 |
| A source of individual variation | p. 165 |
| Electric field modulation of synchronization in neuronal networks | p. 169 |
| Single-trial detection in EEG and MEG: Keeping it linear | p. 177 |
| Spike initiation in a hippocampal interneuron model | p. 185 |
| Neuron PRM: a framework for constructing cortical networks | p. 191 |
| Is there a support vector machine hiding in the dentate gyrus? | p. 199 |
| Computational counting for a quantitative analysis of cells in histologically prepared brain sections | p. 209 |
| Managing models of signaling networks | p. 215 |
| Gain modulation and balanced synaptic input in a conductance-based neural model | p. 221 |
| NeuroSpaces: separating modeling and simulation | p. 227 |
| Location independence and fast conduction of synaptic inputs in neocortical neurons in vivo | p. 233 |
| Guiding the modeller: organizing and selecting experimental data for single cell models using the CoCoDat database | p. 239 |
| Realtime bioelectrical data acquisition and processing from 128 channels utilizing the wavelet-transformation | p. 247 |
| A theory of neural computation | p. 255 |
| A novel approach to training neurons with biological plausibility | p. 265 |
| A model of inositol 1,4,5-trisphosphate and calcium dynamics in single cells following metabotropic receptor activation | p. 271 |
| Learning recurrent neural models with minimal complexity from neural tuning data | p. 277 |
| Neural bases of accumulator models | p. 285 |
| Linking computational neuroscience simulation tools - a pragmatic approach to component-based development | p. 289 |
| Role of A-current in lamprey locomotor network neurons | p. 295 |
| Synaptic plasticity, conduction delays, and inter-areal phase relations of spike activity in a model of reciprocally connected areas | p. 301 |
| Registration of a 3D mouse brain atlas with brain microstructure data | p. 307 |
| Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs | p. 313 |
| Synaptic plasticity determines the character of interaural-time-difference representation | p. 321 |
| Cortico-thalamocortical operations of multi-target spatial working memory | p. 327 |
| Internetplattform Neuroinformatik: a pilot study for the OECD neuroinformatics portal | p. 335 |
| Sensitivity of AMPA receptor channel to calcium oscillations: a computational study | p. 341 |
| The effect of spike redistribution in a reciprocally connected pair of neurons with spike timing-dependent plasticity | p. 347 |
| The influence of neuron shape changes on the firing characteristics | p. 355 |
| Learning structured representations | p. 363 |
| A computational model of the interaction between external and internal cues for the control of hippocampal place cells | p. 371 |
| NNET: linking small- and large-scale network models | p. 381 |
| Exploring the functional significance of dendritic inhibition in cortical pyramidal cells | p. 389 |
| Quantal synaptic failures improve performance in a sequence learning model of hippocampal CA3 | p. 397 |
| Intracortical vs. thalamocortical processing of spatial working memory | p. 403 |
| Novelty detection in a Kohonen-like network with a long-term depression learning rule | p. 411 |
| A model of visual working memory of PFC | p. 419 |
| Desynchronization of neural activity in a network model | p. 425 |
| Temporal Infomax on Markov chains with input leads to finite state automata | p. 431 |
| Calcium as the associative signal for a model of Hebbian plasticity: application to multi-input environments | p. 437 |
| Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model | p. 441 |
| Learning control units for invariant recognition | p. 447 |
| A computational model for the biological underpinnings of infant vision and face recognition | p. 455 |
| Temporal infomax leads to almost deterministic dynamical systems | p. 461 |
| Second-order statistics of natural images | p. 467 |
| Self-organization of spatiotemporal receptive fields and laterally connected direction and orientation maps | p. 473 |
| Temporal dynamics of attention-modulated neuronal synchronization in macaque V4 | p. 481 |
| A neural model of frontostriatal interactions for behavioural planning and action chunking | p. 489 |
| Tuning properties of noisy cells with application to orientation selectivity in rat visual cortex | p. 497 |
| Power spectral analysis of very slow brain potential oscillations in primary visual cortex of freely moving rats during darkness and light | p. 505 |
| The neural multiple access channel | p. 511 |
| A model of surface detection and orientation tuning in primate visual cortex | p. 519 |
| Analyzing mechanosensory transduction by identifying invariant directions in stimulus space | p. 525 |
| A dynamical model for the vertical vestibuloocular reflex and optokinetic response in primate | p. 531 |
| Adaptation using local information for maximizing the global cost | p. 541 |
| Modeling receptive fields with non-negative sparse coding | p. 547 |
| A two-layer temporal generative model of natural video exhibits complex-cell-like pooling of simple cell outputs | p. 553 |
| A reconstruction method of projection image on worker honeybees' compound eye | p. 561 |
| Effects of baclofen on the directional selectivity of transient neurons in the catfish retina | p. 567 |
| Modeling the effects of nicotine on a continuous performance task | p. 573 |
| Simulations of the cultured granule neuron excitability | p. 583 |
| Quantifying olfactory perception: mapping olfactory perception space by using multidimensional scaling and self-organizing maps | p. 591 |
| CINNIC, a new computational algorithm for the modeling of early visual contour integration in humans | p. 599 |
| The role of cortico-basal-thalamic loops in cognition: a computational model and preliminary results | p. 605 |
| An engineering model of the masking for the noise-robust speech recognition | p. 615 |
| Modeling the spinal cord neural circuitry controlling cat hindlimb movement during locomotion | p. 621 |
| A visual system for invariant recognition in animated image sequences | p. 631 |
| Real-time estimation of predictive firing rate | p. 637 |
| Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attention | p. 643 |
| How does the information-geometric measure depend on underlying neural mechanisms? | p. 649 |
| A computational approach to arm movement on the sagittal plane performed by parietal lobe damaged patients: an attempt to examine a computational model for handwriting for its neurobiological plausibility from a neuropsychological symptom | p. 655 |
| Behaviors from an electrically stimulated spinal cord neuronal network cultured on microelectrode arrays | p. 661 |
| Layer 4C in monkey V1 may linearize the output of the LGN | p. 671 |
| Comparing neurophysiological measurements of simulated and real brains | p. 677 |
| Extraction of nonlinear features in MEG and fMRI data of human brain | p. 683 |
| A bifurcation of a synchronous oscillations into a torus in a system of two mutually inhibitory aVLSI neurons: experimental observation | p. 691 |
| On duration and dopamine modulation of sustained activity in prefrontal cortex using conductance-based network models | p. 699 |
| The role of postsynaptic potential decay rate in neural synchrony | p. 707 |
| Analogical cascade: a theory on the role of the thalamo-cortical loop in brain function | p. 713 |
| Estimating the afferent and efferent temporal interval entropy of neuronal discharge for single spike trains | p. 721 |
| Dynamic aspects of delay activity | p. 727 |
| Analysis of dynamics and object recognition performance in coupled map networks | p. 733 |
| Spike sorting the other way | p. 741 |
| Dynamics of neuronal populations modeled by a Wilson-Cowan system account for the transient visibility of masked stimuli | p. 747 |
| Power-law scaling in human EEG: relation to Fourier power spectrum | p. 755 |
| Coexistence of synchronized "oscillatory" and desynchronized "rate" activity in cortical networks | p. 763 |
| Analysis of higher-order correlations in multiple parallel processes | p. 771 |
| Linear and non-linear measures of the human neonatal EEG | p. 779 |
| Anomalous response variability in a balanced cortical network model | p. 787 |
| Bilateral competitive processing of visual spatial attention in the human brain | p. 793 |
| Modeling neural spatiotemporal behavior | p. 799 |
| Multimodality in a dynamic feedback network with stochastic input | p. 805 |
| Nonlinear determinism of spiking activity recorded from rat suprachiasmatic nucleus neurons in vitro | p. 813 |
| The KIV model - nonlinear spatio-temporal dynamics of the primordail vertebrate forebrain | p. 819 |
| Searching for an IT model with columnar organization | p. 827 |
| Neural mechanisms to improve timing | p. 833 |
| A network model of inhibitory effects induced by transcranial magnetic stimulation | p. 837 |
| Oscillatory modes in a neuronal network model with transmission latency | p. 843 |
| Change-point detection in neuronal spike train activity | p. 849 |
| Dynamics of human sleep EEG | p. 857 |
| Speed-up methods for simulations of traveling waves in integrate-and-fire neural networks | p. 863 |
| Traveling waves in a one-dimensional integrate-and-fire neural network with finite support connectivity | p. 869 |
| Noise-driven adaptation: in vitro and mathematical analysis | p. 877 |
| Using derivatives to compare cortical wavs across preparations | p. 885 |
| Effects of noise on recurrence in networks of spiking neurons | p. 893 |
| Information processing with spiking neurons in a cortical architecture framework under the control of an oscillatory signal | p. 901 |
| Gain modulation and frequency locking under conductance noise | p. 907 |
| Self-sustained activity in networks of gain-modulated neurons | p. 913 |
| The impact of thalamo-cortical projections on activity spread in cortex | p. 919 |
| A new correlation-based measure of spike timing reliability | p. 925 |
| Computational modeling of bursting pacemaker neurons in the pre-Botzinger complex | p. 933 |
| A prefronto-parietal network model with feedforward and feedback connections | p. 943 |
| The spread of rate and correlation in stationary cortical networks | p. 949 |
| Reliability and bifurcation in neurons driven by multiple sinusoids | p. 955 |
| Is burst activity in cortical slices a representative model for epilepsy? | p. 963 |
| Circuit properties of the cortico-mesocortical system | p. 969 |
| Localization of epileptic foci by means of cortical imaging using a spherical head model | p. 977 |
| Author index of volumes 52-54 | p. 983 |
| Subject index to volumes 52-54 | p. 993 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
ISBN: 9780444513830
ISBN-10: 0444513833
Published: 20th June 2003
Format: Hardcover
Language: English
Number of Pages: 1016
Audience: Professional and Scholarly
Publisher: Elsevier
Country of Publication: GB
Dimensions (cm): 26.04 x 19.05 x 3.81
Weight (kg): 1.13
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