Volume 16 Supplement 1
24th Annual Computational Neuroscience Meeting: CNS*2015
Meeting abstracts
Edited by Gennady Cymbalyuk and Anthony Burkitt
The publication charges for this supplement were funded by the Organization for Computational Neurosciences. The Supplement Editors declare that they have no competing interests.
24th Annual Computational Neuroscience Meeting: CNS*2015. Go to conference site.
Prague, Czech Republic18-23 July 2015
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Citation: BMC Neuroscience 2015 16(Suppl 1):P178
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An efficient and accurate solver for large, sparse neural networks
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Noise signature on interval timing
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Spiking neural network model of reinforcement learning in the honeybee implemented on the GPU
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Estimating numerical error in neural network simulations on Graphics Processing Units
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Low-dimensional spike rate dynamics of coupled adaptive model neurons
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pypet: a python toolkit for simulations and numerical experiments
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Extending integrate-and fire model neurons to account for the effects of weak electric fields in the presence of dendrites
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Decoding of naturalistic textures from spike patterns of neuromorphic artificial mechanoreceptors
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Hierarchical organization of multiscale communities in brain networks is non-tree structured
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Sourcing brain histone modification data and development of algorithm for identification of hypersensitive sites
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Vibrational resonance in feed-forward-loop neuronal network motifs
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Neural representation in F5: cross-decoding from observation to execution
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Auditory noise influences human visual perception of ambiguous information: multi-modal integration during bistable perception
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Local interaction in retinal ganglion cell mosaics can generate a consistent spatial periodicity in cortical functional maps
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How bifurcations affect functional connectivity in finite-size neural networks
Citation: BMC Neuroscience 2015 16(Suppl 1):P193 -
Canonical correlations reveal co-variability between spike trains and local field potentials in area MT)
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Local structure supports learning of deterministic behavior in recurrent neural networks
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Approximate nonlinear filtering with a recurrent neural network
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The role of microcircuits in the pre-frontal cortex in detecting and encoding temporally patterned information
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Multiplexed coding through synchronous and asynchronous spiking
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Partial information decomposition as a unified approach to the characterization and design of neural goal functions
Citation: BMC Neuroscience 2015 16(Suppl 1):P199 -
Cooperation/supervision of a habit by a cognitive strategy in a goal-directed navigational paradigm
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A minimum-error, energy-constrained neural encoder predicts an instantaneous spike-rate code
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Regular and irregular stimuli result in changes in mice eye movement and cerebellar nuclei neuron model behavior
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Contributions from active dendritic conductances to the Local Field Potential
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Cross-cultural differences in visual attention: a computational modelling study
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Synaptic transmission of spike trains with arbitrary interspike intervals
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Coarse-grained description of the spatio-temporal dynamics of network activity from experimentally verified single-neuron models and connectivity
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On-line identification of the end of motor imageries based on the alpha rebound detection
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Optimal signal detection with neuronal diversity: balancing the gullible and the prudent neurons
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A cortical multi-layered model and the properties of its internally-generated activity
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Effect of synaptic plasticity on functional connectivity and global activity of a neocortical network model
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Dynamics of competition between coupled spiking networks in the balanced state
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The formation of habits in the neocortex under the implicit supervision of the basal ganglia
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A realistic model of pitch explains the N100m morphology evoked by dyads
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The delayed response network: towards a single layer universal neural network approximator and delay-based learning
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Extracellular potassium concentration defines neuronal bursting properties
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The suppression curve as a new representation of the premature EEG maturation
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Multi-scale detection of rate and variance changes in neuronal spike trains
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Joint pausiness in parallel spike trains
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Temperature-induced changes of spike timing precision and network synchronisation
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Dendritic distribution of synaptic input creates a trade-off between input selectivity and flexibility
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Self-organization of information processing in developing neuronal networks
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Markov Stability partitioning shows spectrally dependent community structure amongst thalamocortical neural ensembles
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A robust model of sensory tuning using dendritic non-linearities
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An information theoretic measure of cross-frequency coupling
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Looking at the role of direct and indirect pathways in basal ganglia networks at different levels
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Curvature of dendritic nonlinearities modulates higher-order spiking correlations
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Large-scale quantitative analysis of neurons via morphological structures by Fast Automatically Structural Tracing Algorithm (FAST)
Citation: BMC Neuroscience 2015 16(Suppl 1):P228
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