Volume 9 Supplement 1
Seventeenth Annual Computational Neuroscience Meeting: CNS*2008
Meeting abstracts
Edited by William R Holmes
Publication of this supplement was sponsored by Royal Society Publishing, Neuralynx, Springer, MIT Press and National Bernstein Network for Computational Neuroscience
Seventeenth Annual Computational Neuroscience Meeting: CNS*2008. Go to conference site.
Portland, OR, USA19-24 July 2008
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Citation: BMC Neuroscience 2008 9(Suppl 1):P130
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Comparison of methods to calculate exact spike times in integrate-and-fire neurons with exponential currents
Citation: BMC Neuroscience 2008 9(Suppl 1):P131 -
The effect of rectifying gap junctions on phase-locking in neuronal networks
Citation: BMC Neuroscience 2008 9(Suppl 1):P132 -
Predicting phase-locking in excitatory hybrid circuits
Citation: BMC Neuroscience 2008 9(Suppl 1):P133 -
Predicting excitatory phase resetting curves in bursting neurons
Citation: BMC Neuroscience 2008 9(Suppl 1):P134 -
Phase response curves determine network activity of all to all networks of pulse coupled oscillators
Citation: BMC Neuroscience 2008 9(Suppl 1):P135 -
Predicting n:1 locking in pulse coupled two-neuron networks using phase resetting theory
Citation: BMC Neuroscience 2008 9(Suppl 1):P136 -
A neurobiological model of the human sleep/wake cycle
Citation: BMC Neuroscience 2008 9(Suppl 1):P137 -
Signal discrimination performed by population of spiking neurons enhanced by a background gamma oscillations
Citation: BMC Neuroscience 2008 9(Suppl 1):P138 -
Noise-induced transitions in slow wave neuronal dynamics
Citation: BMC Neuroscience 2008 9(Suppl 1):P139 -
A simplified model of dopaminergic neuron
Citation: BMC Neuroscience 2008 9(Suppl 1):P140 -
Correlation susceptibility and single neuron computation
Citation: BMC Neuroscience 2008 9(Suppl 1):P141 -
Phase and frequency synchronization analysis of NMDA-induced network oscillation
Citation: BMC Neuroscience 2008 9(Suppl 1):P142 -
Theory of neuronal spike densities for synchronous activity in cortical feed-forward networks
Citation: BMC Neuroscience 2008 9(Suppl 1):P143 -
The Type II phase resetting curve is optimal for noise-induced synchrony: a mathematical proof
Citation: BMC Neuroscience 2008 9(Suppl 1):P144 -
Modeling the interplay between interneuron and pyramidal cell during seizures
Citation: BMC Neuroscience 2008 9(Suppl 1):P145 -
Predicting synchrony and asynchrony in basket cell networks coupled by multiple dendritic gap junctions
Citation: BMC Neuroscience 2008 9(Suppl 1):P146 -
Interaction of membrane dynamics with network structure and its effects on spatio-temporal network patterning
Citation: BMC Neuroscience 2008 9(Suppl 1):P147 -
A new measure for the detection of directional couplings based on rank statistics
Citation: BMC Neuroscience 2008 9(Suppl 1):P148 -
Loss of synchrony in an inhibitory network of type-I oscillators
Citation: BMC Neuroscience 2008 9(Suppl 1):P149 -
Intermittent patterns of synchronous activity in human basal ganglia
Citation: BMC Neuroscience 2008 9(Suppl 1):P150 -
The role of burst duration in inhibitory synchronization
Citation: BMC Neuroscience 2008 9(Suppl 1):P151 -
Modeling perceptual multi-stability with Hodgkin-Huxley neurons
Citation: BMC Neuroscience 2008 9(Suppl 1):P152 -
Multichannel analysis of neural oscillations in a simple model network – towards a better understanding of the spatiotemporal structure of brain oscillations
Citation: BMC Neuroscience 2008 9(Suppl 1):P153 -
Bicoherence and synchrony characteristics of sleep, wakeful and seizure electroencephalograms
Citation: BMC Neuroscience 2008 9(Suppl 1):P154 -
The cerebellum connectivity in mathematics cognition
Citation: BMC Neuroscience 2008 9(Suppl 1):P155 -
The dual route model in Chinese-English bilinguals
Citation: BMC Neuroscience 2008 9(Suppl 1):P156 -
Functional connectivity of brain network during character imagery
Citation: BMC Neuroscience 2008 9(Suppl 1):P157 -
Investigating the interaction of transcranial magnetic stimulation with a model cortical neuron
Citation: BMC Neuroscience 2008 9(Suppl 1):P158
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