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Volume 30, Issue 3
March 2018
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells
Aaron R. Voelker, Chris Eliasmith
Neural Computation (2018) 30 (3): 569–609.
View articletitled, Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells
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Letters

Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution
I. Tal, M. Abeles
Neural Computation (2018) 30 (3): 610–630.
View articletitled, Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution
Supplementary data
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Learning Midlevel Auditory Codes from Natural Sound Statistics
Wiktor Młynarski, Josh H. McDermott
Neural Computation (2018) 30 (3): 631–669.
View articletitled, Learning Midlevel Auditory Codes from Natural Sound Statistics
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Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data
Dorian Florescu, Daniel Coca
Neural Computation (2018) 30 (3): 670–707.
View articletitled, Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data
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Indistinguishable Synapses Lead to Sparse Networks
Joseph Snider
Neural Computation (2018) 30 (3): 708–722.
View articletitled, Indistinguishable Synapses Lead to Sparse Networks
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Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis
Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu
Neural Computation (2018) 30 (3): 723–760.
View articletitled, Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis
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From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes
Melika Payvand, Luke Theogarajan
Neural Computation (2018) 30 (3): 761–791.
View articletitled, From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes
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Quantifying Strength of Chaos in the Population Firing Rate of Neurons
Takashi Kanamaru
Neural Computation (2018) 30 (3): 792–819.
View articletitled, Quantifying Strength of Chaos in the Population Firing Rate of Neurons
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Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory
Wei Wang, Hao Wang, Chen Zhang, Yang Gao
Neural Computation (2018) 30 (3): 820–855.
View articletitled, Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory
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