
Computational Neuroscience
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Content
- Front Cover
- Computational Neuroscience: Trends in Research 2000
- Copyright Page
- Table of Contents
- Introduction
- Editorial notes
- Guest editorial
- Part I: Subcellular
- Chapter 1. Comparison of CaMKinase II activation in a dendritic spine computed with deterministic and stochastic models of the NMDA synaptic conductance
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Part II: Cellular
- Chapter 2. Relating information capacity to a biophysical model for blowfly photoreceptors
- Abstract
- 1. Introduction
- 2. The visual system of the fly
- 3. A communication channel model
- 4. Model details
- 5. Results
- 6. Discussion
- References
- Chapter 3. A single-spike model of predictive coding
- Abstract
- 1. Introduction
- 2. Learning cortical representations
- 3. Predictive coding using volleys of single spikes
- 4. Conclusion
- References
- Chapter 4. Characterization of activity oscillations in an excitable membrane model and their potential functionality for neuronal computations
- Abstract
- 1. Introduction
- 2. Description of the model
- 3. Results
- 4. Discussion
- References
- Chapter 5. The influence of threshold variability on the response of visual cortical neurons
- Abstract
- 1. Introduction
- 2. Model
- 3. Results
- 4. Conclusion
- Acknowledgements
- References
- Chapter 6. Characterization of the light-induced currents in Hermissenda
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- Acknowledgements
- References
- Chapter 7. Interactions between slow and fast conductances in the Huber/Braun model of cold-receptor discharges
- Abstract
- 1. Introduction
- 2. The Huber Braun cold-receptor model
- 3. Temperature characteristics of noisy and deterministic simulations
- 4. Interactions of slow-wave oscillations and spike-generating mechanisms
- 5. Conclusions
- Acknowledgements
- References
- Chapter 8. Low correlation between random synaptic inputs impacts considerably on the output of the Hodgkin-Huxley model
- Abstract
- 1. Introduction
- 2. Model
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 9. Analysis of synchronization in the response of neurons to noisy periodic synaptic input
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion and conclusions
- Acknowledgements
- References
- Chapter 10. Effects of presynaptic and postsynaptic resource redistribution in Hebbian weight adaptation
- Abstract
- 1. Introduction
- 2. Effect of resource redistribution at different sites of the neuron
- 3. Discussion
- 4. Conclusion
- References
- Chapter 11. Dynamics of cortical map development in the elastic net model
- Abstract
- 1. Introduction
- 2. The elastic net model of cortical mapping
- 3. Analysis
- 4. Simulations
- 5. Discussion
- References
- Chapter 12. Simulating the temporal evolution of neuronal discharge^
- Abstract
- 1. Introduction
- 2. Four model Purkinje cells
- 3. Results
- 4. Conclusions
- References
- Chapter 13. Oscillatory behaviors in pharmacologically isolated heart interneurons from the medicinal leech
- Abstract
- 1. Introduction
- 2. Results
- 3. Conclusions
- Acknowledgements
- Appendix A
- References
- Chapter 14. Effects of voltage trajectory on action potential voltage threshold in simulations of cat spinal motoneurons
- Abstract
- 1. Introduction
- 2. Computer model
- 3. Results
- 4. Conclusion
- References
- Chapter 15. A combined computational and intracellular study of correlated synaptic bombardment in neocortical pyramidal neurons in vivo
- Abstract
- 1. Introduction
- 2. Experimental characterization of active states
- 3. Computational models of active states
- 4. Conclusion
- Acknowledgements
- References
- Chapter 16. Stimulation of sodium channels in taste-receptor cells provides noise that enhances taste detection
- Abstract
- 1. Introduction
- 2. General methods
- 3. Discussion
- References
- Chapter 17. Random pulse input versus continuous current plus white noise: Are they equivalent?
- Abstract
- 1. Introduction
- 2. Models and methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 18. Precisely timed transient synchronization by depressing synapses
- Abstract
- References
- Chapter 19. Dependence of firing pattern on intrinsic ionic conductances: Sensitive and insensitive combinations
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 20. Effect of noise on neuron transient response
- Abstract
- 1. Introduction
- 2. Theory
- 3. Results
- 4. Discussion
- References
- Chapter 21. Consequences of correlated synaptic bombardment on the responsiveness of neocortical pyramidal neurons
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 22. Complex dynamics of neuronal thresholds
- Abstract
- 1. Introduction
- 2. Dynamical thresholds in an integrate-and-fire neuron
- 3. Model of two dynamic thresholds
- 4. Phase space analysis
- Acknowledgements
- References
- Chapter 23. Basic computational properties of Kenyon cell in the mushroom body of honeybee
- Abstract
- 1. Introduction
- 2. The model and methods
- 3. Results
- 4. Conclusion
- Acknowledgements
- References
- Chapter 24. Simulation techniques for localising and identifying the kinetics of calcium channels in dendritic neurones
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion and conclusion
- Acknowledgements
- References
- Chapter 25. Analysis of complex bursting in cortical pyramidal neuron models
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- References
- Chapter 26. Computational model for the bushy cell of the cochlear nucleus
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 27. Cholinergic neuromodulation of an anatomically reconstructed hippocampal CA3 pyramidal cell
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 28. Branching point effects on the passive properties of the cerebellar granule cell axon
- Abstract
- 1. Introduction
- 2. Model and results
- 3. Conclusions and significance
- Acknowledgements
- Appendix
- References
- Chapter 29. Are inhibitory synaptic conductances on thalamic relay neurons inhomogeneous? Are synapses from individual afférents clustered?
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 30. Escape rate models for noisy integrate-and-fire neurons
- Abstract
- 1. Introduction
- 2. Integrate-and-fire neuron models
- 3. Results
- References
- Chapter 31. Hippocampal place cells and the generation of a temporal code
- Abstract
- 1. Background
- 2. Model
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 32. Place cell firing shows an inertia-like process
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 33. Electrosensory response mechanisms in mormyrid electric fish
- Abstract
- 1. Introduction
- 2. The model
- 3. Results
- 4. Conclusion
- Acknowledgements
- References
- Chapter 34. Driven by inhibition
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 35. Influence of dendritic morphology on axonal competition
- Abstract
- 1. Introduction
- 2. Competition for neurotrophins
- 3. Compartmental model
- 4. Results
- 5. Discussion
- References
- Chapter 36. A statistical analysis of dendritic morphology's effect on neuron electrophysiology of CA3 pyramidal cells
- Abstract
- 1. Introduction
- 2. Model and methods
- 3. Results and conclusions
- 4. Summary
- Acknowledgements
- References
- Chapter 37. What do VI neurons tell us about saccadic suppression?
- Abstract
- 1. Introduction
- 2. Results
- 3. Conclusion
- Acknowledgements
- References
- Part III: Network
- Chapter 38. Harmonic analysis of spiking neuronal pairs
- Abstract
- References
- Chapter 39. Non-synaptic modulation of cortical network dynamics
- Abstract
- 1. Introduction
- 2. A three layered cortical network model
- 3. Simulation results
- 4. Discussion
- Acknowledgements
- References
- Chapter 40. The role of AMPA, GABA, [Ca2+]i, and calcium stores in propagating waves in neuronal networks
- Abstract
- 1. Introduction
- 2. Neural network model
- 3. Results
- 4. Conclusions
- Acknowledgements
- References
- Chapter 41. Independent dendritic domains in the thalamic circuit
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- References
- Chapter 42. Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- References
- Chapter 43. Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs
- Abstract
- 1. Introduction
- 2. Output spike probability density
- 3. Results
- 4. Discussion and conclusions
- Acknowledgements
- References
- Chapter 44. Dynamics of excitatory networks of bursting pacemaking neurons: Modeling and experimental studies of the respiratory central pattern generator
- Abstract
- References
- Chapter 45. Reciprocal excitatory synapses convert pacemaker-like firing into burst firing in a simple model of coupled neurons
- Abstract
- References
- Chapter 46. A recurrent network model for the phase invariance of complex cell responses
- Abstract
- 1. Introduction
- 2. Model
- 3. Results
- 4. Conclusion
- References
- Chapter 47. Neuronal normalization provides effective learning through ineffective synaptic learning rules
- Abstract
- 1. Introduction
- 2. The space of synaptic learning rules
- 3. Effective learning via neuronal weight correction
- 4. Neuronal regulation approximates neuronal correction
- 5. Conclusions
- References
- Chapter 48. A comparison of context-dependent hippocampal place codes in 1-layer and 2-layer recurrent networks
- Abstract
- 1. Introduction and background
- 2. Theoretical issues
- 3. Simulations and results
- 4. Conclusion
- Acknowledgements
- References
- Chapter 49. Activity of coupled excitatory and inhibitory neural populations with dynamic synapses
- Abstract
- 1. Introduction
- 2. Model
- 3. Fixed point analysis
- 4. Dependence of activities on input currents
- 5. Conclusion
- References
- Chapter 50. Chaos in neural networks with dynamic synapses
- Abstract
- 1. Introduction
- 2. Chaotic phenomena
- 3. Response of the network to external input
- 4. Conclusion
- References
- Chapter 51. Synchronization driven by correlated inputs
- Abstract
- 1. Introduction
- 2. Models
- 3. Without interaction
- Acknowledgements
- References
- Chapter 52. Synaptic learning models of map separation in the hippocampus
- Abstract
- 1. Introduction
- 2. Map separation in the hippocampus
- 3. Modeling map separation
- 4. Learning rules
- 5. Discussion
- References
- Chapter 53. Introduction of threshold self-adjustment improves the convergence in feature-detective neural nets
- Abstract
- 1. Introduction
- 2. Method
- 3. Results
- 4. Discussion
- 5. Conclusion
- References
- Chapter 54. Layer 3 patchy recurrent excitatory connections may determine the spatial organization of sustained activity in the primate prefrontal cortex
- Abstract
- 1. Introduction
- 2. The network model
- 3. Results
- References
- Chapter 55. Common mechanisms govern the development of intra- and inter-hemispherical connections in visual cortex
- Abstract
- 1. Introduction
- 2. The model
- 3. Results
- 4. Conclusion
- Acknowledgements
- References
- Chapter 56. Distributed synchrony in an attractor of spiking neurons
- Abstract
- 1. Introduction
- 2. The model
- 3. Results
- 4. Summary
- References
- Chapter 57. Quantifying the variability of patterns of orientation domains in the visual cortex of cats
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion and conclusions
- References
- Chapter 58. Functional significance of inhibitory interactions between inhibitory interneurons in visual cortex
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 59. Simulation of metabotropic glutamate receptor induced effects in the lamprey CPG
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results and discussion
- References
- Chapter 60. Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results and discussion
- 4. Conclusion
- References
- Chapter 61. Retinotopy and spatial phase in topographic maps
- Abstract
- 1. Spatial phase and retinotopy
- 2. The ASSOM
- 3. Results
- 4. Conclusion
- References
- Chapter 62. Realistic computer simulation of cortical lesion induced imbalances in properties of somatotopic maps
- Abstract
- 1. Introduction
- 2. The model
- 3. Simulation
- 4. Results
- 5. Conclusions
- References
- Chapter 63. Geometric modeling of local cortical networks
- Abstract
- 1. Introduction
- 2. Hierarchical network models of brain connectivity
- 3. Web-based description of brain tissue
- 4. Construction of network models based on the neuroanatomy
- 5. Interface to multi-compartmental modeling of cortical microcircuits
- Acknowledgements
- References
- Chapter 64. Synchronization with a periodic pulse train in an asymmetrically coupled neuronal network model
- Abstract
- 1. Introduction
- 2. A neuronal network model
- 3. Regions of synchronization
- 4. Conclusions
- Acknowledgements
- References
- Chapter 65. Spatiotemporal dynamics in a model of turtle visual cortex
- Abstract
- 1. Introduction
- 2. Model description
- 3. Activation of a single geniculate afferent produces a propagating wave of activity in the model cortex
- 4. The model cortex codes the velocity of moving spatial patterns
- 5. Conclusion
- References
- Chapter 66. Fast neural network simulations with population density methods
- Abstract
- 1. Introduction
- 2. The general population density formulation
- 3. The population density for integrate-and-fire neurons
- 4. Population density evolution equation
- 5. Conclusion
- References
- Chapter 67. Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results and discussion
- 4. How the network solves the problems
- Acknowledgements
- References
- Chapter 68. A dynamic model of learning in the septo-hippocampal system
- Abstract
- 1. Introduction
- 2. The Gluck and Myers (1993) model
- 3. Dynamic learning
- 4. Benchmarks
- 5. Blocking
- 6. Scopolamine
- 7. Conclusion
- 8. For further reading
- References
- Chapter 69. Reciprocal inhibitory connections produce desynchronizing phase lags during intrathalamic oscillations^
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- References
- Chapter 70. On cell assemblies in a cortical column
- Abstract
- 1. Introduction
- 2. Model assumptions and parameter estimation
- 3. Analysis of assembly learning and assembly ignition
- 4. Results
- 5. Conclusions
- Acknowledgements
- References
- Chapter 71. Temporally asymmetric Hebbian learning and neuronal response variability
- Abstract
- 1. Introduction
- 2. Model
- 3. Response variability
- 4. Temporally asymmetric Hebbian plasticity leads to an irregular firing state
- 5. Correlation-based Hebbian modification
- 6. Conclusion
- References
- Chapter 72. Effect of correlations on signal transmission in a population of spiking neurons
- Abstract
- 1. Introduction
- 2. The model
- 3. Results
- 4. Conclusion
- Appendix
- References
- Chapter 73. Auditory singularity detection by a gerbil cochlea model^
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- References
- Chapter 74. Neural field description of state-dependent visual receptive field changes
- Abstract
- 1. Introduction
- 2. Theory
- 3. Fit to experimental data
- 4. Conclusions
- Acknowledgements
- References
- Chapter 75. Effects of granule cell firing properties on the temporal pattern of the CA3 pyramidal cell's firing
- Abstract
- 1. Introduction
- 2. Structural background
- 3. Modelling framework
- 4. Characterization of the output
- 5. Characterization of the input
- 6. The input-output correlation
- 7. Results
- 8. Discussion
- Acknowledgements
- References
- Chapter 76. Post-cue activity of prefrontal cortical neurons controlled by local inhibition
- Abstract
- 1. Introduction
- 2. Model
- 3. Results
- 4. Conclusion
- Acknowledgements
- References
- Chapter 77. A model of the leech segmental swim central pattern generator
- Abstract
- 1. Introduction
- 2. Background
- 3. Model desiderata
- 4. Form of the model
- 5. Fitting to data
- 6. Results
- 7. Discussion
- References
- Chapter 78. Stability constraints for oscillatory neural networks
- Abstract
- 1. Introduction
- 2. Network model
- 3. Stability of the equilibrium point for TV coupled columns
- 4. Conclusions
- Acknowledgements
- References
- Chapter 79. Relationship between field potentials and spike activity in rat SI: Multi-site cortical recordings and analysis
- Abstract
- 1. Introduction
- 2. Cortical data analysis
- 3. Results
- 4. Discussion
- References
- Chapter 80. Dynamics of spatio-temporal patterns in associative networks of spiking neurons*
- Abstract
- 1. Introduction
- 2. Network model
- 3. Calculation of retrieval velocities
- 4. Instabilities of chain propagation
- 5. Conclusions
- Acknowledgements
- References
- Chapter 81. On the parametric stability of a central pattern generator
- Abstract
- 1. Introduction
- 2. Swim network description
- 3. Results
- 4. Discussion
- References
- Chapter 82. Encoding multiple orientations in a recurrent network
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Chapter 83. Model of carbachol-induced gamma-frequency oscillations in hippocampus*
- Abstract
- 1. Introduction
- 2. Overview of methods
- 3. Summary of results
- Acknowledgements
- References
- Chapter 84. Gain modulation of recurrent networks
- Abstract
- 1. Introduction
- 2. Models and results
- 3. Conclusions
- References
- Part IV: Systems
- Chapter 85. A time-dependent analysis of spatial information encoding in the rat hippocampus
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- 5. Conclusions
- References
- Chapter 86. Single trial P3 epoch recognition in a virtual environment*
- Abstract
- 1. Introduction
- 2. Experimental setup
- 3. Experiments
- 4. Recognizing single trials in an immersive environment
- 5. Discussion
- References
- Chapter 87. The ecology of gaze shifts
- Abstract
- 1. Introduction
- 2. Concepts
- 3. Results
- 4. Discussion
- References
- Chapter 88. Modeling dopamine modulation of delay-period activity in prefrontal cortex during working memory processes
- Abstract
- 1. Introduction and methods
- 2. The effect of D-receptor agonists and antagonists
- References
- Chapter 89. Task dependence of human theta: The case for multiple cognitive functions
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- References
- Chapter 90. Global vs. local processing of compressed representations: A computational model of visual search
- Abstract
- References
- Chapter 91. Implications of synaptic digitisation and error for neocortical function
- Abstract
- References
- Chapter 92. Behavioral considerations suggest an average reward TD model of the dopamine system^
- Abstract
- 1. Introduction
- 2. TD models of dopamine
- 3. Behavioral tests of discounting
- 4. An average reward TD model of dopamine and behavior
- 5. Discussion
- References
- Chapter 93. A biologically plausible computational model of classical conditioning induced reorganization of tonotopic maps in the auditory cortex^
- Abstract
- 1. Introduction
- 2. The model
- 3. Simulations
- 4. Results
- 5. Discussion and conclusions
- References
- Chapter 94. Neurodynamical mechanism of binding and selective attention for visual search
- Abstract
- 1. Introduction
- 2. Neurodynamical model
- 3. Simulations of visual search tasks
- References
- Chapter 95. Localization of brain activity - blind separation for fMRI data
- Abstract
- 1. Introduction
- 2. Data analysis
- 3. The experiment
- 4. Results
- 5. Conclusion
- Acknowledgements
- References
- Chapter 96. Phase-based cerebellar learning of dynamic signals
- Abstract
- 1. Introduction
- 2. Mathematical model of the cerebellar module with direct action of PC on CFC
- 3. Simulation results
- 4. Role of transformation of PCs signals by small nuclear cells on the way to CFCs
- 5. Discussion
- Acknowledgements
- References
- Chapter 97. Probing the retino-geniculate circuit in cat using circular spot stimuli
- Abstract
- 1. Introduction
- 2. Results
- 3. Conclusion
- References
- Chapter 98. Rethinking central pattern generators: A general approach
- Abstract
- 1. Introduction
- 2. A five-step process used to model lamprey swimming
- 3. Strengths of this model and method
- References
- Chapter 99. Delay adaptation in the nervous system
- Abstract
- 1. Introduction
- 2. Model
- 3. Delay shift
- 4. Delay selection
- 5. Discussion
- References
- Chapter 100. Proposition of cortical connectivity between 30 cytoarchitectural areas of human cerebral cortex
- Abstract
- 1. Introduction
- 2. The Conel database
- 3. Methods
- 4. Result
- 5. Discussion
- 6. Conclusion
- References
- Chapter 101. An organizing center for planar neural excitability
- Abstract
- 0. General introduction
- 1. Introduction
- 2. The organizing center
- 3. Implications
- References
- Chapter 102. Auditory localization using direction-dependent spectral information
- Abstract
- 1. Introduction
- 2. Description of the model
- 3. Discussion
- Acknowledgements
- References
- Chapter 103. Conserved temporal dynamics and vector superposition of primitives in frog wiping reflexes during spontaneous extensor deletions
- Abstract
- 1. Introduction
- 2. Framework
- 3. Methods
- 4. Results
- 5. Discussion
- Acknowledgements
- References
- Chapter 104. Learning predictive representations
- Abstract
- 1. Introduction
- 2. The model neural network
- 3. Results
- 4. Conclusion
- Acknowledgements
- References
- Chapter 105. Spatial neglect and paradoxical lesion effects in the cat - A model based on midbrain connectivity
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Conclusions and predictions
- Acknowledgements
- References
- Chapter 106. Visualizing the visual system
- Abstract
- 1. Introduction
- 2. Building a geometric model of gray matter
- 3. Building a geometric model of a chunk of visual cortex
- 4. Conclusions
- Acknowledgements
- References
- Chapter 107. A role of a hierarchical dynamical map in cognition and binding different sensory modalities
- Abstract
- 1. Introduction
- 2. The neural network model
- 3. Formation of hierarchical dynamical map
- 4. Priming process in hierarchical dynamical map
- 5. Concluding remarks
- References
- Chapter 108. Hebbian learning and temporary storage in the convergence-zone model of episodic memory
- Abstract
- 1. Introduction
- 2. Hebbian learning and one-shot learning
- 3. Normalization and forgetting
- 4. Conclusion
- References
- Chapter 109. Noisy precursors of bifurcations in a neurodynamical model for disease states of mood disorders
- Abstract
- 1. Introduction
- 2. Model
- 3. Data analysis
- 4. Results
- 5. Conclusion
- Acknowledgements
- References
- Chapter 110. A neural model of medial geniculate body and auditory cortex detecting target distance independently of target velocity in echolocation
- Abstract
- 1. Introduction
- 2. Model of the auditory brain system
- 3. Results
- 4. Optimal modulation rate of sound pulse frequency
- References
- Chapter 111. Neural model of temporal and stochastic properties of binocular rivalry
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Conclusions
- References
- Chapter 112. A positive role of noises in accurate detection of time difference by electrosensory system of weakly electric fish
- Abstract
- 1. Introduction
- 2. A network model of the torus for detection of phase advances and delays (differential phase coder, DPC)
- 3. Results
- References
- Chapter 113. A role of synaptic variation depending on precise timings of pre- and postsynaptic depolarization in suppression of disturbance due to tail bending for accurate electrolocation
- Abstract
- 1. Introduction
- 2. A neural network model of ELL
- 3. A role of synaptic modification depending on arrival timings of pre- and postsynaptic signals
- References
- Chapter 114. Modeling control of roll-plane body orientation in lamprey
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results and discussion
- Acknowledgements
- References
- Chapter 115. Unifying cognitive aging: From neuromodulation to representation to cognition
- Abstract
- 1. Introduction
- 2. Aging, neuromodulation and information processing
- 3. Modeling age-related attenuation of catecholaminergic function
- 4. Simulations linking catecholaminergic modulation with behavioral data
- 5. Conclusions
- References
- Chapter 116. On the tracking of dynamic functional relations in monkey cerebral cortex
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- Acknowledgements
- References
- Chapter 117. Modeling neuron spatial distribution and morphology in the developing human cerebral cortex
- Abstract
- 1. Introduction
- 3. Computational framework for modeling neuron morphology
- 4. Framing microstructure data into finite element models of the cortex
- 5. Web-based neuron/forest database
- 6. Neuroanatomical sources of data
- Acknowledgements
- References
- Chapter 118. From hippocampus to VI: Effect of LTP on spatio-temporal dynamics of receptive fields
- Abstract
- 1. Methods
- 2. Introduction
- 3. Results
- References
- Chapter 119. Modeling auditory cortical processing as an adaptive chirplet transform^
- Abstract
- 1. Introduction
- 2. Adaptive chirplets
- 3. Conclusion
- References
- Chapter 120. Biologically plausible learning rules for neural networks and quantum computing
- Abstract
- 0. Introduction
- 1. Hebbian rule-based learning rules for quantum learning
- 2. Implications
- References
- Chapter 121. A stimulus density-dependent normalization mechanism for modulating the range of contour integration
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Conclusions
- References
- Chapter 122. A model for neural representation of intervals of time
- Abstract
- 1. Introduction
- 2. Model
- 3. Results and discussion
- References
- Chapter 123.Odor to sensor space transformations in biological and artificial noses
- Abstract
- 1. Introduction
- 2. Linear transformations
- 3. Noise considerations
- 4. Non-linear odor space transformations
- 5. Conclusions
- Acknowledgements
- References
- Chapter 124. Spike train coherence in macaque parietal cortex during a memory saccade task^
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- 5. Conclusions
- References
- Chapter 125. Neural ensemble states in prefrontal cortex identified using a hidden Markov model with a modified EM algorithm^
- Abstract
- 1. Introduction
- 2. Results
- 3. Conclusion
- References
- Chapter 126. A large-scale neuroanatomical model of attention implemented as a computer simulation
- Abstract
- 1. Introduction
- 2. Method
- 3. Results
- 4. Discussion
- References
- Chapter 127. Associative symmetry vs. independent associations
- Abstract
- 1. Introduction
- 2. A neural network model
- 3. Experiment
- 4. Simulating the experimental results
- 5. Conclusions
- References
- Chapter 128. Perceptual segmentation and neural grouping in tilt illusion
- Abstract
- 1. Introduction
- 2. Perceptual segmentation
- 3. Neural grouping
- 4. Conclusions
- References
- Chapter 129. A palimpsest memory based on an incremental Bayesian learning rule
- Abstract
- 1. Introduction
- 2. Bayesian learning
- 3. Results
- 4. Discussion
- References
- Chapter 130. Using computational simulations to discover optimal training paradigms
- Abstract
- 1. Introduction
- 2. Description of the TP problem and training paradigms
- 3. Methods
- 4. Results and discussion
- Acknowledgements
- References
- Part V: Methodology
- Chapter 131. L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology*
- Abstract
- 1. Introduction and neuroanatomical background
- 2. Software development, system requirement, and source of experimental data
- 3. Discussion and future perspectives
- Acknowledgements
- References
- Chapter 132. A Bayesian decision approach to evaluate local and contextual information in spike trains
- Abstract
- 1. Introduction
- 2. Experiments
- 3. Data analysis
- 4. Scale-space representation
- 5. Conclusion
- Acknowledgements
- References
- Chapter 133. Control and monitoring of a parallel processed neural network via the World Wide Web
- Abstract
- 1. Introduction
- 2. Hardware and implementation
- 3. Results and discussion
- Chapter 134. Natural time scales for neural encoding^
- Abstract
- 1. Introduction
- 2. Preparation: The cricket cereal sensory system
- 3. Physiological methods
- 4. Analytical methods
- 5. Results
- 6. Discussion
- References
- Chapter 135. Estimating cortical connectivity for developing human cerebral cortex
- Abstract
- 1. Introduction
- 2. Materials and method
- 3. Estimated cortical connectivity
- 4. Concluding remarks
- Acknowledgements
- References
- Chapter 136. A large-scale model of the cerebellar cortex using PGENESIS*
- Abstract
- 1. Introduction
- 2. Model of the cerebellar cortex
- 3. Simulation scale
- 4. PGENESIS
- 5. Results
- 6. Discussion
- References
- Chapter 137 AQuantifying information transfer in spike generation
- Abstract
- 1. Introduction
- 2. Separation of PSP and the spike train
- 3. Information processing analysis
- 4. Data analysis
- 5. Conclusions
- References
- Chapter 138. Robustness of coarse graining spectral analysis in estimating frequency and Hurst exponent from mixed time series with harmonic and fractal components
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion and conclusion
- Acknowledgements
- References
- Chapter 139. Distributed, web-based microstructure database for brain tissue
- Abstract
- 1. Introduction
- 2. Volume data: Finite element decomposition
- 3. The neuron/forest data level
- 4. Network data: Geometric modeling of local cortical networks
- References
- Chapter 140. Symbolic time-series analysis of neural data^
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- References
- Chapter 141. Non-stationary analysis of extracellular neural activity
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion and conclusion
- Acknowledgements
- References
- Chapter 142. PARALLEL NEUROSYS: A system for the simulation of very large networks of biologically accurate neurons on parallel computers
- Abstract
- 1. Introduction
- 2. The message passing interface standard for parallel computers
- 3. Commodity supercomputers
- 4. The system
- 5. Some example results
- 6. Conclusions and directions for future work
- Acknowledgements
- References
- Chapter 143. Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex
- Abstract
- 1. Introduction
- 2. Experimental methods
- 3. Statistical methods
- 4. Results
- 5. Discussion
- Acknowledgements
- References
- Chapter 144. CYBERCHILD: A database of the microscopic development of the postnatal human cerebral cortex from birth to 72 months
- Abstract
- 1. Introduction
- 2. The database (CYBERCHILD)
- 3. The quality of Conel's data
- 4. Principal findings arising from the CYBERCHILD database
- 5. Relevance of the CYBERCHILD database to computational modeling
- Acknowledgements
- References
- Chapter 145. Blind source separation of multichannel neuromagnetic responses
- Abstract
- 1. Introduction
- 2. Methods
- 3. Results
- 4. Discussion
- Acknowledgements
- References
- Author index to volumes 32-33 (2000)
- Subject index to volumes 32-33 (2000)
- NEUROCOMPUTING EDITORIAL BOARD MEMBERS
- NEUROCOMPUTING
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