Abstract
In this chapter, an abstract model of the inputs and outputs of a neuron is presented. This leads to the formulation of the notion of a biological feature vector (BFV) which is an eleven parameter approximation of a typical action potential. A short discussion of how a BFV is effective at classifying action potentials into classes based on various toxin inputs is used to show the BFV has utility as a tool in neural circuit simulations. The BFV’s eleven parameters can all be altered and equations are derived showing how an action potential would be altered for a given BFV parameter change. These BFV parameter changes are examples of the consequences to the output of second messenger inputs. Multiple inputs are also discussed.
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Peterson, J.K. (2016). The Abstract Neuron Model. In: BioInformation Processing. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-287-871-7_9
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DOI: https://doi.org/10.1007/978-981-287-871-7_9
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