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Our method can be applied to manipulate synaptic transmission of a particular neuron in a neuronal network.
Open accessJournal ArticleDOI
01 Sep 2002-Neural Networks
41 Citations
Overall this work illustrates how a hardware-realisable neuron model can capitalise on the unique computational capabilities of biological neurons.
The spiking neuron circuit can potentially emulate biological neuron networks and their intelligent functions.
Our observations demonstrate that the ability of a neuron to support a spike-time code can be actively controlled by varying the properties of the neuron and its input.
These new techniques allow us to focus on the input region of the neuron and highlight the excitable properties of the dendritic membrane.
In this work, we propose using a MIT device to function as a compact oscillation neuron, achieving the same functionality as the CMOS neuron but occupying a much smaller area.
This method might be useful for a better understanding of excitable systems and different phenomena in neuronal dynamics.
More interestingly, multiple stochastic resonance can also be improved by the suitable heterogeneous neuron.
This provides a simple model of excitable neural tissue.

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