Biological neuron models | Wikipedia audio article
Channel: wikipedia tts
Date: 27/03/2019

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Biological_neuron_model


00:05:34 1 Electrical input–output membrane voltage models
00:06:44 1.1 Integrate-and-fire
00:09:56 1.2 Hodgkin–Huxley model
00:15:07 1.3 Leaky integrate-and-fire
00:18:44 1.4 Fractional-Order Leaky integrate-and-fire
00:20:34 1.5 Galves-Löcherbach
00:24:22 1.6 Exponential integrate-and-fire
00:27:19 1.7 FitzHugh–Nagumo
00:28:41 1.8 Morris–Lecar
00:28:56 1.9 Hindmarsh–Rose
00:29:15 1.10 Cable theory
00:32:08 1.11 Compartmental models
00:34:25 2 Natural input stimulus neuron models
00:35:12 2.1 The non-homogeneous Poisson process model (Siebert)
00:37:53 2.2 The two state Markov model (Nossenson &amp; Messer)
00:39:31 2.3 Non-Markovian models
00:39:38 2.4 Theta model
00:50:18 3 Pharmacological input stimulus neuron models
00:51:10 3.1 Synaptic transmission (Koch &amp; Segev)
00:54:41 3.2 The two state Markov model (Nossenson &amp; Messer)
01:00:28 4 HTM Neuron Model
01:00:53 5 Applications
01:01:20 5.1 Electrical retinal prosthesis
01:01:43 5.2 Neurotransmitter based retinal prosthesis
01:08:43 5.3 Cochlear implant
01:09:11 5.4 Brain–computer interface
01:09:50 5.4.1 Artificial limb control and sensation
01:10:07 6 Relation between artificial and biological neuron models
01:10:21 7 Conjectures regarding the role of the neuron in the wider context of the brain principle of operation
01:10:37 7.1 The neurotransmitter based energy detection scheme
01:10:47 8 General comments regarding the modern perspective of scientific and engineering models
01:10:58 9 See also
01:11:13 10 References
01:14:32 Conjectures regarding the role of the neuron in the wider context of the brain principle of operation
01:14:49 The neurotransmitter based energy detection scheme
01:18:34 General comments regarding the modern perspective of scientific and engineering models
01:21:06 See also



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SUMMARY
=======
A biological neuron model, also known as a spiking neuron model, is a mathematical description of the properties of certain cells in the nervous system that generate sharp electrical potentials across their cell membrane, roughly one millisecond in duration, as shown in Fig. 1.   Spiking neurons are known to be a major signaling unit of the nervous system, and for this reason characterizing their operation is of great importance. It is worth noting that not all the cells of the nervous system produce the type of spike that define the scope of the spiking neuron models. For example, cochlear hair cells, retinal receptor cells, and retinal bipolar cells do not spike. Furthermore, many cells in the nervous system are not classified as neurons but instead are classified as glia.

Ultimately, biological neuron models aim to explain the mechanisms underlying the operation of the nervous system for the purpose of restoring lost control capabilities such as perception (e.g. deafness or blindness), motor movement decision making, and continuous limb control. In that sense, biological neuron models differ from artificial neuron models that do not presume to predict the outcomes of experiments involving the biological neural tissue (although artificial neuron models are also concerned with execution of  perception and estimation tasks). Accordingly, an important aspect of biological neuron models is experimental validation, and the use of physical units to describe the experimental procedure associated with the model predictions.
Neuron models can be divided into two categories according to the physical units of the interface of the model. Each category could be further divided according to the abstraction/detail level: 

Electrical input–output membrane voltage models – These models produce a prediction for membrane output voltage as function of electrical stimulation at the input stage (either volta ...