<ul>
<li>The Hodgkin-Huxley model does have the ability to accurately reflect adaptation processes in a neuron (<em>e.g.</em>, <a href="https://www.ncbi.nlm.nih.gov/pubmed/3196774" rel="nofollow noreferrer">Awiszus, (1989)</a>);</li>
<li>A perfect integrator model is also suitable <a href="https://www.semanticscholar.org/paper/NEW-ENCYCLOPEDIA-OF-NEUROSCIENCE-Theoretical-and-C-Goldman-Compte/7433bb4abd8dd497c1159164b095e95b13acda4b" rel="nofollow noreferrer">(Goldman <em>et al</em>., 2007)</a>; </li>
<li>A leaky integrator model is often used to model spiking behavior as well <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2954058/" rel="nofollow noreferrer">(Mihalas &amp; Niebur, 2009)</a>.</li>
</ul>

<p><sub><strong>References</strong><br>
<strong>-</strong> <a href="https://www.ncbi.nlm.nih.gov/pubmed/3196774" rel="nofollow noreferrer">Awiszus, <em>Biol Cybern</em> (1988); <strong>59</strong>(4-5): 295-302</a><br>
<strong>-</strong> <a href="https://www.semanticscholar.org/paper/NEW-ENCYCLOPEDIA-OF-NEUROSCIENCE-Theoretical-and-C-Goldman-Compte/7433bb4abd8dd497c1159164b095e95b13acda4b" rel="nofollow noreferrer">Goldman <em>et al</em>., New Encycopedia of Neuroscience (2007)</a><br>
<strong>-</strong> <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2954058/" rel="nofollow noreferrer">Mihalas &amp; Niebur, <em>Neural Comput</em> (2009); <strong>21</strong>(3): 704–18</a></sub></p>

CC BY-SA 3.0
2017-11-15T14:02:54.493Z
Very interesting, thank you.  Is it correct, then, to say that any model on its own would need additional discrete dynamics (for instance, by changing scaling factors or threshold in an ON/OFF manner)?
Michael Stachowsky
CC BY-SA 3.0
2017-11-15T14:18:29.193Z
@MichaelStachowsky -- typically, parameters have to be tweaked to reproduce physiologically observed adaptational processes
AliceD
CC BY-SA 3.0
2017-11-15T09:15:01.523Z
2017-11-15T12:34:10.993Z
2017-11-15T12:34:10.993Z
AliceD
<p>I'm studying a neuron in an organism that has the following properties:</p>

<ul>
<li>The neuron's output voltage is dependent on the strength of the stimulus, if that stimulus is applied and removed without any further stimuli.</li>
<li>If there is another stimulus that follows the first, then the magnitude of the voltage is reduced by a factor dependent on the time between the two stimuli, even if the strength of the two stimuli is the same.</li>
</ul>

<p>I know approximately the function that governs this reduction in magnitude as a function of time between stimuli.  </p>

<p>Is the Hodgkin-Huxley model sufficient to model the behaviour of this neuron?  Is there another model that is more appropriate?</p>

CC BY-SA 3.0
2017-11-14T19:23:10.733Z
It sure can. Even the simpler/older [Hill model](http://www.scholarpedia.org/article/Spike-response_model) can
got trolled too much this week
<theoretical-neuroscience>
Can the Hodgkin-Huxley neuron incorporate desensitization?
Michael Stachowsky
# Can the Hodgkin-Huxley neuron incorporate desensitization?

(Asked by: username_0 on 2017-11-14)

I'm studying a neuron in an organism that has the following properties:

* The neuron's output voltage is dependent on the strength of the stimulus, if that stimulus is applied and removed without any further stimuli.
* If there is another stimulus that follows the first, then the magnitude of the voltage is reduced by a factor dependent on the time between the two stimuli, even if the strength of the two stimuli is the same.

I know approximately the function that governs this reduction in magnitude as a function of time between stimuli.

Is the Hodgkin-Huxley model sufficient to model the behaviour of this neuron? Is there another model that is more appropriate?

**Tags:** theoretical-neuroscience

> **Comments:**
> **username_1**: It sure can. Even the simpler/older [Hill model](http://www.scholarpedia.org/article/Spike-response_model) can  

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## 1 answers

### Answer by username_2 on 2017-11-15. Score: 1 | Accepted answer

* The Hodgkin-Huxley model does have the ability to accurately reflect adaptation processes in a neuron (*e.g.*, [Awiszus, (1989)](https://www.ncbi.nlm.nih.gov/pubmed/3196774));
* A perfect integrator model is also suitable [(Goldman *et al*., 2007)](https://www.semanticscholar.org/paper/NEW-ENCYCLOPEDIA-OF-NEUROSCIENCE-Theoretical-and-C-Goldman-Compte/7433bb4abd8dd497c1159164b095e95b13acda4b);
* A leaky integrator model is often used to model spiking behavior as well [(Mihalas & Niebur, 2009)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2954058/).

**References**  
**-** [Awiszus, *Biol Cybern* (1988); **59**(4-5): 295-302](https://www.ncbi.nlm.nih.gov/pubmed/3196774)  
**-** [Goldman *et al*., New Encycopedia of Neuroscience (2007)](https://www.semanticscholar.org/paper/NEW-ENCYCLOPEDIA-OF-NEUROSCIENCE-Theoretical-and-C-Goldman-Compte/7433bb4abd8dd497c1159164b095e95b13acda4b)  
**-** [Mihalas & Niebur, *Neural Comput* (2009); **21**(3): 704–18](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2954058/)

> **Comments:**
> **username_0**: Very interesting, thank you.  Is it correct, then, to say that any model on its own would need additional discrete dynamics (for instance, by changing scaling factors or threshold in an ON/OFF manner)?  
> **username_2**: @MichaelStachowsky -- typically, parameters have to be tweaked to reproduce physiologically observed adaptational processes  

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