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» Maximising Sensitivity in a Spiking Network
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ICANN
2009
Springer
15 years 2 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
14 years 9 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»
14 years 9 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»
15 years 3 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
15 years 3 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