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» Maximising Sensitivity in a Spiking Network
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ICANN
2009
Springer
13 years 9 months ago
Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain
This paper proposes a spiking neural network (SNN) of the mammalian auditory midbrain to achieve binaural multiple sound source localisation. The network is inspired by neurophysio...
Jindong Liu, David Perez-Gonzalez, Adrian Rees, Ha...
KES
2006
Springer
13 years 4 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 4 months ago
A spiking neuron model: applications and learning
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 mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
WWIC
2005
Springer
112views Communications» more  WWIC 2005»
13 years 10 months ago
Mitigating Interference Between IEEE 802.16 Systems Operating in License-Exempt Mode
A rudimentary approach to mitigate interference issues in license-exempt 802.16 systems is presented. This approach operates by permitting each Base Station (BS), and associated Su...
Omar Ashagi, Seán Murphy, Liam Murphy
ECRTS
2003
IEEE
13 years 10 months ago
Time-Aware Utility-Based QoS Optimisation
This paper presents a time-aware admission control and resource allocation scheme in the context of a future generation mobile network. The quality levels (and their respective ut...
Calin Curescu, Simin Nadjm-Tehrani