<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1665-6423</journal-id>
<journal-title><![CDATA[Journal of applied research and technology]]></journal-title>
<abbrev-journal-title><![CDATA[J. appl. res. technol]]></abbrev-journal-title>
<issn>1665-6423</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-64232009000100005</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Design, at transistor level, of a neuron with axonic delay]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mateos Santillán]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez Silva]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Nacional Autónoma de México Centro de Ciencias Aplicadas y Desarrollo Tecnológico ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2009</year>
</pub-date>
<volume>7</volume>
<numero>1</numero>
<fpage>62</fpage>
<lpage>72</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-64232009000100005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-64232009000100005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-64232009000100005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[An electronic neuron designed with only transistors, with the idea of being able to develop to future a VLSI integrated microcircuit is presented. The neuron is of leaky integrator type, with a ramp function with saturation type response and axonic delay. In this work we will present the mathematical model of our neuron, and its electronics main characteristics, as fundamental part of our simulation system, the neural analog computer.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Se presenta una neurona electrónica diseñada con puros transistores con la idea de poder desarrollar a futuro un microcircuito integrado VLSI. La neurona es del tipo integradora, con respuesta tipo rampa con saturación y retardo axónico. En este trabajo presentamos el modelo matemático de nuestra neurona y sus características electrónicas principales, como parte fundamental de un sistema de simulación, la computadora neuronal analógica.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Biological neuron models]]></kwd>
<kwd lng="en"><![CDATA[artificial neuron models]]></kwd>
<kwd lng="en"><![CDATA[electronic neuron models]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  	    <p align="center"><font face="verdana" size="4"><b>Design, at transistor level, of a neuron with axonic delay</b></font></p>  	    <p align="center"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="center"><font face="verdana" size="2"><b>E. Mateos Santill&aacute;n*<sup>1</sup> , J. L. P&eacute;rez Silva<sup>2</sup> </b></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><i><sup>1,2</sup> Centro de Ciencias Aplicadas y Desarrollo Tecnol&oacute;gico Universidad Nacional Aut&oacute;noma de M&eacute;xico. *E&#150;mail: </i><a href="mailto:pepito@aleph.cinstrum.unam.mx">pepito@aleph.cinstrum.unam.mx</a></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>ABSTRACT</b></font></p>  	    <p align="justify"><font face="verdana" size="2">An electronic neuron designed with only transistors, with the idea of being able to develop to future a VLSI integrated microcircuit is presented. The neuron is of leaky integrator type, with a ramp function with saturation type response and axonic delay. In this work we will present the mathematical model of our neuron, and its electronics main characteristics, as fundamental part of our simulation system, the neural analog computer.</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>Keywords:</b> Biological neuron models, artificial neuron models, electronic neuron models.</font></p> 	    ]]></body>
<body><![CDATA[<p align="justify">&nbsp;</p>      <p align="justify"><font face="verdana" size="2"><b>RESUMEN</b></font></p>  	    <p align="justify"><font face="verdana" size="2">Se presenta una neurona electr&oacute;nica dise&ntilde;ada con puros transistores con la idea de poder desarrollar a futuro un microcircuito integrado VLSI. La neurona es del tipo integradora, con respuesta tipo rampa con saturaci&oacute;n y retardo ax&oacute;nico. En este trabajo presentamos el modelo matem&aacute;tico de nuestra neurona y sus caracter&iacute;sticas electr&oacute;nicas principales, como parte fundamental de un sistema de simulaci&oacute;n, la computadora neuronal anal&oacute;gica.</font></p>       <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><a href="/pdf/jart/v7n1/v7n1a5.pdf" target="_blank">DESCARGAR ART&Iacute;CULO EN FORMATO PDF</a></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><b><i>References</i></b></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;1&#93; A.L. Hodgkin and A.F. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve. Journal of Physiology, vol. 117, pp. 500&#150;544. 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