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An efficient counting network
(2010)
We present a novel counting network construction, where the number of input wires w is smaller than or equal to the number of output wires t. The depth of our network is Θ(lg2w), which depends only on w. In contrast, the ...
The cost of concurrent, low-contention Read&Modify&Write
(2005)
The possibility or impossibility and the corresponding costs of devising concurrent, low-contention implementations of atomic Read&Modify&Write (or RMW) operations in a distributed system were addressed. A natural class ...
Preface
(2015)
Self-control with spiking and non-spiking neural networks playing games
(2010)
Self-control can be defined as choosing a large delayed reward over a small immediate reward, while precommitment is the making of a choice with the specific aim of denying oneself future choices. Humans recognise that ...
Coefficient of variation vs. mean interspike interval curves: What do they tell use about the brain?
(2001)
A number of models have been produced recently to explain the high variability of natural spike trains (Softky and Koch, J. Neurosci. 13 (1) (1993) 334). These models use a range of different biological mechanisms including ...
A review on the stochastic firing behaviour of real neurons and how it can be modelled
(1995)
The types of spike trains recorded in real neurons from different parts of the brain, can either be completely random or bursty. Certainly, at very, high firing rates regular spike trains are observed. This paper examines ...
A spiking neuron model: Applications and learning
(2002)
This paper presents a biologically inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the model as well as its applications in Computational ...
Near Poisson-type firing produced by concurrent excitation and inhibition
(2000)
The effect of inhibition on the firing variability is examined in this paper using the biologically-inspired temporal noisy-leaky integrator (TNLI) neuron model. The TNLI incorporates hyperpolarising inhibition with negative ...
The temporal noisy-leaky integrator neuron with additional inhibitory inputs
(1993)
The Temporal Noisy-Leaky Integrator (TNU) neuron model with additional inhibitory inputs is presented together with its theoretical mathematical basis. The TNU is a biologically inspired hardware neuron which models ...