Multiplying with synapses and neurons

Computing with the leaky integrate-and-fire neuron: logarithmic computation and multiplication

Neural Computation

Probability density methods for smooth function approximation and learning in populations of tuned spiking neurons

Neural Computation

Neuromorphic Synapses for Artificial Dendrites

Analog Integrated Circuits and Signal Processing

On the complexity of computing and learning with multiplicative neural networks

Neural Computation

Modeling cross-modal enhancement and modality-specific suppression in multisensory neurons

Neural Computation

A Unified Approach to Building and Controlling Spiking Attractor Networks

Neural Computation

Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise

Neural Computation

Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise

Neural Computation

Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier

Neural Computation

Elman topology with sigma-pi units: An application to the modeling of verbal hallucinations in schizophrenia

Neural Networks

Time series prediction with single multiplicative neuron model

Applied Soft Computing

Spike train processing by a silicon neuromorph: The role of sublinear summation in dendrites

Neural Computation

Review:

Neural Computation

A cortex-like learning machine for temporal hierarchical pattern clustering, detection, and recognition

Neurocomputing

A low-order model of biological neural networks

Neural Computation

Lattice neural networks with spike trains

HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II