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index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<title>Home | Vasileios Ntinas</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="google-site-verification" content="QEI16wPwhmO8cw5DvzxcZgMQkQzfC5gv5IBSOwa2ysA" />
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
<link href="https://fonts.googleapis.com/css?family=Montserrat" rel="stylesheet" type="text/css">
<link href="https://fonts.googleapis.com/css?family=Lato" rel="stylesheet" type="text/css">
<link href='http://fonts.googleapis.com/css?family=Arizonia' rel='stylesheet' type='text/css'>
<link href='https://fonts.googleapis.com/css?family=Roboto' rel='stylesheet'>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
<style>
body {
font: 400 15px Lato, sans-serif;
line-height: 1.8;
color: #818181;
}
h2 {
font-size: 24px;
text-transform: uppercase;
color: #303030;
font-weight: 600;
margin-bottom: 30px;
}
h4 {
font-size: 19px;
line-height: 1.375em;
color: #303030;
font-weight: 400;
margin-bottom: 30px;
}
.jumbotron {
background-color: #fff;
/*background-color: #f4511e;
/*background: repeating-linear-gradient(0deg, #0f5776, #4b6861 1%, #c66d0c 1%);*/
color: #fff;
padding: 200px 0px 50px 25px;
font-family: Montserrat, sans-serif;
margin-bottom: 0;
}
.jumbotron-with-img {
min-height: 910px;
}
.about-me {
background-color: #eaf7ff;
}
.contact-me {
background-color: #eaf7ff;
}
.contact-me-txt {
padding-top: 120px;
padding-bottom: 120px;
color: black;
}
.about-me-img {
background-image: url("chip_img.jpg");
background-position: center;
background-size: cover;
opacity: 0.8;
}
.about-me-txt {
padding-top: 120px;
}
.about-me-txt h2 {
font: 100 normal normal 40px/1.875em 'Lato',sans-serif;
}
.about-me-txt h4 {
font: 400 normal normal 15px/1.875em 'Lato',sans-serif;
text-align: justify;
text-justify: inter-word;
}
.container-fluid {
padding-left: 0px;
margin-right: auto;
margin-left: auto;
}
.container-menu {
padding: 30px 0px 0px 0px;
}
.container-menu-logo {
padding: 0px 50px 0px 60px;
}
.container-menu-tabs-area {
padding: 0px 0px 0px 0px;
background-color: #f5f5f5 !important;
}
.container-menu-tabs {
padding: 0px 50px 0px 50px;
}
.edu {
/*background: repeating-linear-gradient(0deg, #0f5776, #4b6861 1%, #c66d0c 1%);*/
background: #fff;
}
.bg-grey {
background-color: #f6f6f6;
}
.logo-small {
color: #f4511e;
font-size: 50px;
}
.logo {
color: #f4511e;
font-size: 200px;
}
.logo-text h4 {
font-size: 14px;
letter-spacing: 1px;
}
.thumbnail {
padding: 0 0 15px 0;
border: none;
border-radius: 0;
}
.thumbnail img {
width: 100%;
height: 100%;
margin-bottom: 10px;
}
.carousel-control.right, .carousel-control.left {
background-image: none;
color: #f4511e;
}
.carousel-indicators li {
border-color: #f4511e;
}
.carousel-indicators li.active {
background-color: #f4511e;
}
.img-pos {
padding-top: 100px;
}
img.my_img {
border-radius: 50%;
}
.img-pos-text-name {
padding-top: 0px;
font: 300 48px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #000;
text-shadow: 4px 4px 0px rgba(0,0,0,0.1);
text-align: left;
}
.img-pos-text-sub_title {
padding-top: 0px;
font: 300 24px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #777;
text-align: left;
}
.img-pos-links {
padding-top: 60px;
font: 600 20px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #777;
text-shadow: none;
text-align: left;
}
.img-pos-bubbles {
padding-top: 60px;
font: 600 20px/1.3 'Lato', Helvetica, sans-serif;
/*color: #bff7ff;*/
color: #777;
text-shadow: none;
text-align: left;
}
img.my_bubbles {
border-radius: 30%;
}
.item h4 {
font-size: 19px;
line-height: 1.375em;
font-weight: 400;
font-style: italic;
margin: 70px 0;
}
.item span {
font-style: normal;
}
.panel {
border: 1px solid #f4511e;
border-radius:0 !important;
transition: box-shadow 0.5s;
}
.panel:hover {
box-shadow: 5px 0px 40px rgba(0,0,0, .2);
}
.panel-footer .btn:hover {
border: 1px solid #f4511e;
background-color: #fff !important;
color: #f4511e;
}
.panel-heading {
color: #fff !important;
background-color: #f4511e !important;
padding: 25px;
border-bottom: 1px solid transparent;
border-top-left-radius: 0px;
border-top-right-radius: 0px;
border-bottom-left-radius: 0px;
border-bottom-right-radius: 0px;
}
.panel-footer {
background-color: white !important;
}
.panel-footer h3 {
font-size: 32px;
}
.panel-footer h4 {
color: #aaa;
font-size: 14px;
}
.panel-footer .btn {
margin: 15px 0;
background-color: #f4511e;
color: #fff;
}
.navbar {
margin-bottom: 0;
background-color: #fff;
z-index: 9999;
border: 0;
font-size: 12px !important;
line-height: 1.42857143 !important;
letter-spacing: 4px;
border-radius: 0;
font-family: Montserrat, sans-serif;
}
.nav li a {
padding: 10px 10px 10px 10px;
letter-spacing: 1px;
}
.navbar li a, .navbar .navbar-brand {
color: #000 !important;
}
.navbar-brand {
font: 900 32px 'Arizonia', Helvetica, sans-serif;
color: #2b2b2b;
text-shadow: 4px 4px 0px rgba(0,0,0,0.1);
float: none;
}
.navbar-nav li a:hover, .navbar-nav li.active a {
color: #000 !important;
background-color: #f5f5f5 !important;
}
.navbar-default .navbar-toggle {
border-color: transparent;
color: #fff !important;
background-color: #f5f5f5 !important;
}
footer {
background-color: #333;
}
footer .glyphicon {
font-size: 16px;
margin-bottom: 10px;
color: #fff;
}
footer a {
font-weight: 500;
font-size:16px;
line-height:24px;
font-family: Helvetica, sans-serif;
color: #999;
}
footer a:hover {
font-weight: 900;
font-size:16px;
line-height:24px;
font-family: Helvetica, sans-serif;
color: #fff;
}
.slideanim {visibility:hidden;}
.slide {
animation-name: slide;
-webkit-animation-name: slide;
animation-duration: 1s;
-webkit-animation-duration: 1s;
visibility: visible;
}
.vertical-section-title {
background-image: url("vertical_sep.jpg");
flex: 280 1 0%;
margin-left: 0px;
margin-top: 0px;
margin-bottom: 0px;
top: 0px;
height: 280px;
position: relative;
background-position: center;
background-size: cover;
}
.vertical-section-title-txt {
background-color: rgba(0, 0, 0, 0.25);
flex: 280 1 0%;
margin-left: 0px;
margin-top: 0px;
margin-bottom: 0px;
top: 0px;
height: 280px;
position: relative;
background-position: center;
background-size: cover;
}
.vertical-section-title-txt h2 {
padding-top: 60px;
color: white;
text-shadow: rgba(255, 255, 255, 0.6) 1px 1px 1px, rgba(0, 0, 0, 0.6) -1px -1px 1px;
font: 350 normal normal 40px/1.375em 'Lato',sans-serif;
}
.vertical-section-title-txt h4 {
color: white;
text-shadow: rgba(255, 255, 255, 0.6) 1px 1px 1px, rgba(0, 0, 0, 0.6) -1px -1px 1px;
font: 500 normal normal 18px/1.375em 'Lato',sans-serif;
}
@keyframes slide {
0% {
opacity: 0;
transform: translateY(70%);
}
100% {
opacity: 1;
transform: translateY(0%);
}
}
@-webkit-keyframes slide {
0% {
opacity: 0;
-webkit-transform: translateY(70%);
}
100% {
opacity: 1;
-webkit-transform: translateY(0%);
}
}
@media screen and (max-width: 768px) {
.col-sm-4 {
text-align: center;
margin: 25px 0;
}
.btn-lg {
width: 100%;
margin-bottom: 35px;
}
}
@media screen and (max-width: 480px) {
.logo {
font-size: 150px;
}
}
@media screen and (max-width: 768px) {
.navbar-brand {
font-size: 26px;
padding: 0px;
}
.logo-text h4 {
font-size: 10px;
margin-bottom: 10px;
}
.container-menu-logo {
padding: 0px 5px 0px 5px;
}
.navbar-toggle {
margin-top: -35px;
margin-bottom: 2px;
}
.img-pos-text {
padding-top: 20px;
}
.img-pos {
padding-top: 0px;
border-radius: 50%;
}
}
* {
box-sizing: border-box;
}
.col-container {
display: table;
width: 100%;
}
.col {
display: table-cell;
width: 50%;
}
@media only screen and (max-width: 768px) {
.col {
display: block;
width: 100%;
}
}
/* The actual timeline (the vertical ruler) */
.timeline {
position: relative;
max-width: 1200px;
margin: 0 auto;
}
/* The actual timeline (the vertical ruler) */
.timeline::after {
content: '';
position: absolute;
width: 6px;
background-color: #ddd;
top: 0;
bottom: 0;
left: 50%;
margin-left: -3px;
}
/* Container around content */
.container-timeline {
padding: 10px 40px;
position: relative;
background-color: inherit;
width: 50%;
margin-left: 0;
margin-right: 0;
}
/* The circles on the timeline */
.container-timeline::after {
content: '';
position: absolute;
width: 25px;
height: 25px;
right: -13px;
background-color: #ddd;
border: 4px solid #FF9F55;
top: 15px;
border-radius: 50%;
z-index: 1;
}
/* Place the container to the left */
.left-timeline {
left: 0;
}
/* Place the container to the right */
.right-timeline {
left: 50%;
}
/* Add arrows to the left container (pointing right) */
.left-timeline::before {
content: " ";
height: 0;
position: absolute;
top: 22px;
width: 0;
z-index: 1;
right: 30px;
border: medium solid white;
border-width: 10px 0 10px 10px;
border-color: transparent transparent transparent white;
}
/* Add arrows to the right container (pointing left) */
.right-timeline::before {
content: " ";
height: 0;
position: absolute;
top: 22px;
width: 0;
z-index: 1;
left: 30px;
border: medium solid white;
border-width: 10px 10px 10px 0;
border-color: transparent white transparent transparent;
}
/* Fix the circle for containers on the right side */
.right-timeline::after {
left: -12px;
}
/* The actual content */
.content-timeline {
padding: 20px 30px;
background-color: #ddd;
position: relative;
border-radius: 6px;
font: 350 normal normal 40px/1.375em 'Lato',sans-serif;
}
.content-timeline h1 {
margin: 10px 0px;
text-decoration: underline;
font-size: 28px;
text-transform: uppercase;
}
.content-timeline h2 {
margin: 0px 0px;
font-size: 22px;
text-transform: none;
}
.content-timeline h3 {
margin: 0px 0px;
font-size: 22px;
text-transform: capitalize;
}
.content-timeline h4 {
margin: 0px 0px 20px 0px;
font-size: 16px;
text-transform: capitalize;
}
.pubs {
background-color: #f5f5f5 !important;
font-family: 'Lato',sans-serif;
color: black;
padding-left: 10px;
}
.pubs h1 {
text-shadow: rgba(255, 255, 255, 0.6) 1px 1px 1px, rgba(0, 0, 0, 0.6) -1px -1px 1px;
font: 500 normal normal 20px/1.75em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: uppercase;
}
.pubs h3 {
font: 400 normal normal 22px/1.41em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: uppercase;
margin-top: 0px;
margin-bottom: 0px;
}
.pubs h4 {
font: 500 normal normal 15px/1.75em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: none;
margin-top: 0px;
margin-bottom: 0px;
}
.pubs p {
font: 500 normal normal 12px/1.75em 'Lato',sans-serif;
background-color: #f5f5f5 !important;
text-transform: none;
text-align: justify;
text-justify: inter-word;
}
.pubs-row {
padding: 0px 15px;
margin-bottom: 20px;
}
.pubs-left {
padding-right: 10px;
padding-left: 0px;
}
.pubs-right {
padding-right: 0px;
padding-left: 0px;
}
.my-quotes {
margin-top: 50px;
margin-bottom: 50px;
}
.nav-imgs li>a {
padding-left: 0px;
}
.nav-imgs {
padding-right: 50px;
}
/* Media queries - Responsive timeline on screens less than 600px wide */
@media screen and (max-width: 600px) {
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<h4>Electrical and Computer Engineering (Dipl.Eng., M.Sc., Ph.D.)<br>
Electronic Engineering (Ph.D.)</h4></div>
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VASILEIOS NTINAS
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Postdoctoral Research Associate
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<a href="https://tu-dresden.de/ing/elektrotechnik/iee/ge" target="_blank">Chair of Fundamentals of Electrical Engineering</a><br>
<a href="https://tu-dresden.de" target="_blank">Technische Universität Dresden</a><br>
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Germany
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<h2>About Me</h2>
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I was born in Xanthi, Greece on 7 November 1992. I received my <u>Diploma (Diploma/Master of Engineering)</u> in <i>Electrical and
Computer Engineering (ECE)</i> from the Department of ECE at <i>Democritus University of Thrace (DUTh)</i>, Xanthi, Greece in July
2015. I was in the top ~1-2% of my class and I received the Best Diploma Thesis Award of the department. In May 2017, I completed my <u>Master of Science (M.Sc.)</u>
on <i>“Microelectronics and Computer Systems”</i> in the scientific field of <i>"Biologically Inspired Electronic Circuit and
Systems"</i> at the same department, with the main object of interest the Analogue and Digital Memristive Circuits. Recently,
I received the <u>Ph.D. degree</u> in <i>Electronic Engineering</i> from the <i>Universitat Politècnica de Catalunya (UPC)</i> and in ECE from <i>DUTh</i>,
under the co-supervision of <a href="https://hipics.upc.edu/en/people/faculty/a-rubio" target="_blank">Prof. Antonio Rubio (UPC)</a>
and <a href="http://gsirak.ee.duth.gr/" target="_blank">Prof. Georgios Ch. Sirakoulis (DUTh)</a>. During my doctoral studies,
I have explored stochasticity-related phenomena in various memristor aspects, from device modeling and memristor programming up to
computing architecture level. Currently, I am employed as Postdoctoral Research Associate at the Chair of Fundamentals of Electrical Engineering,
<a href="https://tu-dresden.de/ing/elektrotechnik/iee/ge/die-professur/beschaeftigte" target="_blank">Prof. Ronald Tetzlaff</a>,
working at the German Research Foundation (DFG) funded project, Mem<sup>2</sup>CNN, part of the DFG priority program
<a href="https://memristec.de/en/" target="_blank">“Memristive Devices Toward Smart Technical Systems” (SPP 2262)</a>.
My research interests lie in the field of memristors, mostly focused on the metal-oxide ones, Cellular Automata
and Stochastic Resonance.
<br>
In general, I am a circuit design and simulation enthusiast, for both digital and analogue applications, with high-quality theoretical
foundations. My well-established background on programming languages and hardware description is constantly driving the effective realization of my ideas.
Attracted always by the unconventional, I am excited for applications with Emergent Computing approaches, e.g. Cellular Automata and Cellular Nonlinear/Neural/Nanoscale Networks,
as well as novel computing paradigms, like Neuromorphic Computing.</h4>
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<h1>September 2017 - April 2022</h1>
<h2>Ph.D. in Engineering (Electronic and Electrical & Computer)</h2>
<h4>Democritus University of Thrace (DUTh)<br>Universitat Politecnica de Catalunya (UPC)</h4>
<h3>Doctoral Thesis:</h3>
<h4>Harnessing Memristor circuits and device variability in Emergent Computing Applications</h4>
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<h1>November 2015 - March 2017</h1>
<h2>Master of Science (M.Sc.) on Microelectronics and Computer Systems</h2>
<h4>Democritus University of Thrace (DUTh)</h4>
<h3>Master Thesis:</h3>
<h4>Smart Bio-Inspired Electronic Systems with memristive devices</h4>
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<h1>October 2010 - July 2015</h1>
<h2>Diploma in Electrical and Computer Engineering (Dipl.Eng.)</h2>
<h4>Democritus University of Thrace (DUTh)</h4>
<h3>Diploma Thesis:</h3>
<h4>Study, design, and development of electronic circuits, inspired by nature, with learning capabilities, using circuit elements with memory (Memristors)</h4>
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<h2>PUBLICATIONS (under construction)</h2>
<h4>My Current Works as a Young (wannabe) Researcher</h4>
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<div class="row pubs">
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<h1>Articles in Journals</h1>
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<h3>A COMPLETE ANALYTICAL SOLUTION FOR THE ON AND OFF DYNAMIC EQUATIONS OF A TAO MEMRISTOR</h3>
<h4><strong>Vasileios Ntinas</strong>, Alon Ascoli, Ronald Tetzlaff, Georgios Ch. Sirakoulis<br>
IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 4, pp. 682-686, 2019<br>
DOI: <a href="https://doi.org/10.1109/TCSII.2018.2869920" target="_blank">10.1109/TCSII.2018.2869920</a></h4>
</div>
<div class="col-sm-4 col-sm-offset-1 pubs-right">
<a href="https://www.scimagojr.com/journalsearch.php?q=9500153930&tip=sid&exact=no" title="SCImago Journal & Country Rank" target="_blank">
<img border="0" src="https://www.scimagojr.com/journal_img.php?id=9500153930" alt="SCImago Journal & Country Rank" /></a>
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<button type="button" class="btn" data-toggle="collapse" data-target="#j7">Abstract</button> <p id="j7" class="collapse col-md-12">
In this brief we provide a complete analytical model for the time evolution of the state of a real-world memristor
under any dc stimulus and for all initial conditions. The analytical dc model is derived through the application of
mathematical techniques to Strachan's accurate mathematical description of a tantalum oxide nano-device from Hewlett
Packard Labs. Under positive dc inputs the state equation of the Strachan model can be solved analytically, providing
a closed-form expression for the device memory state response. However, to the best of our knowledge, the analytical
integration of the state equation of the Strachan model under dc inputs of negative polarity is an unsolved mathematical
problem. In order to bypass this issue, the state evolution function is first expanded in a series of Lagrange polynomials,
which reproduces accurately the original model predictions on the device off-switching kinetics. The solution to the resulting
state equation approximation may then be computed analytically by applying methods from the field of mathematics. Our
full analytical model matches both qualitatively and quantitatively the tantalum oxide memristor response captured by
the original differential algebraic equation set to typical stimuli of interest such as symmetric and asymmetric pulse
excitations. It is further insensitive to the convergence issues that typically arise in the numerical integration of the
original model, and may be easily integrated into software programs for circuit synthesis, providing designers with a
reliable tool for exploratory studies on the capability of a certain circuit topology to satisfy given design specifications.
</p>
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<div class="col-md-6 pubs-left">
<h3>EXPERIMENTAL STUDY OF ARTIFICIAL NEURAL NETWORKS USING A DIGITAL MEMRISTOR SIMULATOR</h3>
<h4><strong>Vasileios Ntinas</strong>, Ioannis Vourkas, Angel Abusleme, Georgios Ch. Sirakoulis, Antonio Rubio<br>
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)<br>
DOI: <a href="https://doi.org/10.1109/TNNLS.2018.2791458" target="_blank">10.1109/TNNLS.2018.2791458</a></h4>
</div>
<div class="col-sm-4 col-sm-offset-1 pubs-right">
<a href="https://www.scimagojr.com/journalsearch.php?q=21100235616&tip=sid&exact=no" title="SCImago Journal & Country Rank" target="_blank">
<img border="0" src="https://www.scimagojr.com/journal_img.php?id=21100235616" alt="SCImago Journal & Country Rank" /></a>
</div>
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<button type="button" class="btn" data-toggle="collapse" data-target="#j6">Abstract</button> <p id="j6" class="collapse col-md-12">
This paper presents a fully digital implementation of a memristor hardware (HW) simulator, as the core of an emulator,
based on a behavioral model of voltage-controlled threshold-type bipolar memristors. Compared to other analog solutions,
the proposed digital design is compact, easily reconfigurable, demonstrates very good matching with the mathematical model
on which it is based, and complies with all the required features for memristor emulators. We validated its functionality
using Altera Quartus II and ModelSim tools targeting low-cost yet powerful field-programmable gate array families. We
tested its suitability for complex memristive circuits as well as its synapse functioning in artificial neural networks,
implementing examples of associative memory and unsupervised learning of spatiotemporal correlations in parallel input
streams using a simplified spike-timing-dependent plasticity. We provide the full circuit schematics of all our digital
circuit designs and comment on the required HW resources and their scaling trends, thus presenting a design framework for
applications based on our HW simulator.</p>
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<h3>Closed-form analytical solution for on-switching dynamics in a TaO memristor</h3>
<h4>Alon Ascoli, <strong>Vasileios Ntinas</strong>, Ronald Tetzlaff, Georgios Ch. Sirakoulis<br>
IET Electronics Letters, vol. 50, no. 16, pp. 1125-1126, 2017<br>
DOI: <a href="https://ieeexplore.ieee.org/document/8011672/" target="_blank">10.1049/el.2017.1622</a></h4>
</div>
<div class="col-sm-4 col-sm-offset-1 pubs-right">
<a href="https://www.scimagojr.com/journalsearch.php?q=24918&tip=sid&exact=no" title="SCImago Journal & Country Rank" target="_blank">
<img border="0" src="https://www.scimagojr.com/journal_img.php?id=24918" alt="SCImago Journal & Country Rank" /></a>
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<button type="button" class="btn" data-toggle="collapse" data-target="#j5">Abstract</button> <p id="j5" class="collapse col-md-12">
For the first time, the model of a physical nano-scale memristor is integrated analytically. A closed-form
expression for the time evolution of the device memristance during the turn-on process is mathematically derived.
The complexity of the inverse imaginary error function-based analytical formula clearly reflects the high degree
of nonlinearity in the nano-device switching kinetics, which may typically span several orders of magnitude and is
critically dependent on input and initial condition. The excellent agreement between the analytical solution and numerical
simulation results clearly demonstrates the correctness of the theoretical derivation. The introduction of this formula
represents the first step towards a systematic approach to circuit design with memristors.</p>
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<div class="col-md-6 pubs-left">
<h3>Memristor crossbar for adaptive synchronization</h3>
<h4>Lucia Valentina Gambuzza, Mattia Frasca, Luigi Fortuna, <strong>Vasileios Ntinas</strong>, Ioannis Vourkas, Georgios Ch. Sirakoulis<br>
IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 8, pp. 2124-2133, 2017<br>
DOI: <a href="https://ieeexplore.ieee.org/document/7911226/" target="_blank">10.1109/TCSI.2017.2692519</a></h4>
</div>
<div class="col-sm-4 col-sm-offset-1 pubs-right">
<a href="https://www.scimagojr.com/journalsearch.php?q=11000153733&tip=sid&exact=no" title="SCImago Journal & Country Rank" target="_blank">
<img border="0" src="https://www.scimagojr.com/journal_img.php?id=11000153733" alt="SCImago Journal & Country Rank" /></a>
</div>
<div class="col-md-12 pubs-left">
<button type="button" class="btn" data-toggle="collapse" data-target="#j4">Abstract</button> <p id="j4" class="collapse col-md-12">
Nonlinear circuits may be synchronized with interconnections that evolve in time incorporating mechanisms of adaptation
found in many biological systems. Such dynamics in the links is efficiently implemented in electronic devices by using memristors.
However, the approach requires a massive amount of interconnections (of the order of N<sup>2</sup>, where N is the number of nonlinear
circuits to be synchronized). This issue is solved in this paper by adopting a memristor crossbar architecture for adaptive
synchronization. The functionality of the structure is demonstrated, with respect to different switching characteristics, via
a simulation-based evaluation using a behavioral threshold-type model of voltage-controlled bipolar memristor. In addition, we
show that the architecture is robust to device variability and faults: quite surprisingly, when faults are localized, the performance
of the approach may also improve as adaptation becomes more significant.</p>
</div>
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<div class="col-md-6 pubs-left">
<h3>Modeling Physarum space exploration using memristors</h3>
<h4><strong>Vasileios Ntinas</strong>, Ioannis Vourkas, Georgios Ch. Sirakoulis, Andrew Adamatzky<br>
Journal of Physics D: Applied Physics 50 174004, 2017<br>
DOI: <a href="http://iopscience.iop.org/article/10.1088/1361-6463/aa614d/meta" target="_blank">10.1088/1361-6463/aa614d</a></h4>
</div>
<div class="col-sm-4 col-sm-offset-1 pubs-right">
<a href="https://www.scimagojr.com/journalsearch.php?q=28570&tip=sid&exact=no" title="SCImago Journal & Country Rank" target="_blank">
<img border="0" src="https://www.scimagojr.com/journal_img.php?id=28570" alt="SCImago Journal & Country Rank" /></a>
</div>
<div class="col-md-12 pubs-left">
<button type="button" class="btn" data-toggle="collapse" data-target="#j3">Abstract</button> <p id="j3" class="collapse col-md-12">
Slime mold <i>Physarum polycephalum</i> optimizes its foraging behaviour by minimizing the distances between the sources of nutrients
it spans. When two sources of nutrients are present, the slime mold connects the sources, with its protoplasmic tubes, along the
shortest path. We present a two-dimensional mesh grid memristor based model as an approach to emulate Physarum's foraging strategy,
which includes space exploration and reinforcement of the optimally formed interconnection network in the presence of multiple aliment
sources. The proposed algorithmic approach utilizes memristors and LC contours and is tested in two of the most popular computational
challenges for Physarum, namely maze and transportation networks. Furthermore, the presented model is enriched with the notion of noise
presence, which positively contributes to a collective behavior and enables us to move from deterministic to robust results. Consequently,
the corresponding simulation results manage to reproduce, in a much better qualitative way, the expected transportation networks.</p>
</div>
</div>
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<div class="col-md-6 pubs-left">
<h3>Oscillation-Based Slime Mould Electronic Circuit Model for Maze-Solving Computations</h3>
<h4><strong>Vasileios Ntinas</strong>, Ioannis Vourkas, Georgios Ch. Sirakoulis, Andrew Adamatzky<br>
IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 6, pp. 1552-1563, 2017<br>
DOI: <a href="https://ieeexplore.ieee.org/document/7534815/" target="_blank">10.1109/TCSI.2016.2566278</a></h4>
</div>
<div class="col-sm-4 col-sm-offset-1 pubs-right">
<a href="https://www.scimagojr.com/journalsearch.php?q=11000153733&tip=sid&exact=no" title="SCImago Journal & Country Rank" target="_blank">
<img border="0" src="https://www.scimagojr.com/journal_img.php?id=11000153733" alt="SCImago Journal & Country Rank" /></a>
</div>
<div class="col-md-12 pubs-left">
<button type="button" class="btn" data-toggle="collapse" data-target="#j2">Abstract</button> <p id="j2" class="collapse col-md-12">
The ability of slime mould to learn and adapt to periodic changes in its environment inspired scientists to develop behavioral
memristor-based circuit models of its memory organization. The computing abilities of slime mould Physarum polycephalum have been
used in several applications, including to solve mazes. This work presents a circuit-level bio-inspired maze-solving approach via
an electronic model of the oscillatory internal motion mechanism of slime mould, which emulates the local signal propagation and
the expansion of its vascular network. Our implementation takes into account the inherent noise existent in the equivalent biological
circuit, so that its behavior becomes closer to the non-deterministic behavior of the real organism. The efficiency and generality of
the proposed electronic computing medium was validated through SPICE-level circuit simulations and compared with data from two cardinally
different biological experiments, concerning 1) enhancing of Physarum's protoplasmic tubes along shortest path and 2) chemo-tactic growth
by diffusing chemo-attractants.</p>
</div>
</div>
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