Hi am tasnim i would like to get details on difference between biological neuron and artificial neuron in tabular form ..My friend Justin said difference between biological neuron and artificial neuron in tabular form will be available here and now i am living at tangail and i last studied in the college/school mbstu and i need help on difference between biological neuron and artificial neuron.

Abstract

Because it is unclear, I am going to assume you mean biological computational neural networks...not in-vivo neural tissue.

In short, a biological computational neuron is (usually) a parametric model of a neuron which approximates a realistic membrane voltage.

"Integrate and fire" models are a gray area because while these models may approximate membrane voltages sub-threshold, they often fail to accurately mimic an action potential or a refraction period.

Biological models are usually some variation of the Hodgkin-Huxley model. Some significant simplifications have made it possible to simulate large networks with realistic computer power.

Many biological models also implement complex synaptic dynamics.

Non-biological models of neurons are more accurately described as a perceptron. Perceptron outputs can be graded or binary. Many artificial neural networks applications (read machine learning) have struggled to implement inhibitory feedback because of many of the non-biological simplifications that have been introduced in the interest of computation time.