Browsing by Author "Taylor, J. G."
Now showing items 1-3 of 3
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Article
Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset
Bugmann, G.; Christodoulou, Chris C.; Taylor, J. G. (1997)Partial reset is a simple and powerful tool for controlling the irregularity of spike trains fired by a leaky integrator neuron model with random inputs. In particular, a single neuron model with a realistic membrane time ...
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Article
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures
Clarkson, T. G.; Christodoulou, Chris C.; Guan, Y.; Gorse, D.; Romano-Critchley, D. A.; Taylor, J. G. (2001)Four probabilistic pRAM neural network architectures are presented to explain have the different pRAM network architectures perform a classification. In addition, it is shown where the difficulties lie in seperating different ...
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Article
The temporal noisy-leaky integrator neuron with additional inhibitory inputs
Christodoulou, Chris C.; Bugmann, G.; Clarkson, T. G.; Taylor, J. G. (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 ...