Редактирование: Whole brain emulation (раздел)

=== Models of Neurons ===

A model of a neuron is an abstract mathematical model that seems to imitate some aspect of the behavior of neurons. They are used to predict the outcome of biological processes and to study the nervous system in a more flexible environment of study (A computer).

{| border=1 class=wikitable
! colspan=3 style="background-color:#C0C0C0;" | Costs of Neuron Models
|-
| '''Model''' || '''# of biological features''' || '''FLOPS/ms'''
|-
| Integrate-and-fire || 3 || 5
|-
| Integrate‐and‐fire with adapt. || 5 || 10 
|-
| Integrate‐and‐fire‐or‐burst || 10 || 13
|-
| Resonate‐and‐fire || 12 || 10
|-
| Quadratic integrate‐and‐fire || 6 || 7
|-
| Izikhevich (2003) || 21 || 13
|-
| FitzHugh‐Nagumo || 11 || 72
|-
| Hindmarsh‐Rose || 18 || 120
|-
| Morris‐Lecar || 14º || 600
|-
| Wilson || 15 || 180
|-
| Hodgkin‐Huxley || 19º || 1200
|}

[[File:Cost of neuron models.jpg]]

'''Note:''' Only the Morris‐Lecar and Hodgkin‐Huxley models are "biophysically meaningful" in the sense that they attempt actually to model real biophysics, the others only aim for a correct phenomenology of spiking.