Mini Review
Volume 12 Issue 4 - 2020
The Action Potential Peak is Not Suitable for Computational Modelling and Coding in the Brain
William Winlow1,2* and Andrew S Johnson1
1Dipartimento di Biologia, Università degli Studi di Napoli, Federico II, Napoli, Italy
2Institute of Ageing and Chronic Diseases, The Apex Building, University of Liverpool, Liverpool, UK
*Corresponding Author: William Winlow, Dipartimento di Biologia, Università degli Studi di Napoli, Federico II, Napoli, Italy and Institute of Ageing and Chronic Diseases, The Apex Building, University of Liverpool, Liverpool, UK.
Received: March 05, 2020; Published: March 24, 2020


Action potentials are highly plastic phenomena and vary greatly in trajectory from neuron to the next. The temporal positioning of the spike peak is very variable and modifiable by synaptic inputs. Consequently, it is inappropriately used in binary computational models of neuronal activity. Here we demonstrate that the action potential threshold has temporal constancy and should be used in ternary computational models, whose phases are: resting potential, threshold and the time dependent refractory period, which is an analogue variable. Thus, the action potential threshold is the most appropriate temporal fixed point for computational modelling, not the action potential peak.

Keywords: Action Potentials; Resting Potential; Threshold; Computational Fixed Point


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Citation: William Winlow and Andrew S Johnson. ““The Action Potential Peak is Not Suitable for Computational Modelling and Coding in the Brain”. EC Neurology 12.4 (2020): 46-48.

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