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How much energy does it take to fire a neuron? 

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Our results suggest that the mean firing rate (frequency) of periodically spiking neuron does not carry any information other than identifying a channel of communication.
Together, these simplifications yield two stage neuron behavior with energy efficiency that is only about a factor of two worse than the simplest one stage neuron.
The delayed response of Hamilton energy to external forcing currents confirms that neuron contributes to energy coding.
These theoretical calculations also prompt an assumption that there may be a considerable difference between oxygen consumption and neuron energy levels.
It can be used for investigation about the energy coding in the neuron even the neuron networks.
This work provides a highly-integrated and inherently-low-energy implementation for neuron and the possibility for all-ferroelectric neural networks.
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.