“Inspiration for new technologies often can be found in biological systems. A classic example is how plant burrs sticking to an engineer’s dog led to the creation of Velcro.”
“Following in such traditions is Christof Teuscher, an associate professor in Portland State University’s electrical and computer engineering department.”
Read more at: https://scienceinportland.wordpress.com/2016/04/30/portland-state-computer-engineer-christof-teuscher-inspired-by-biology-keen-on-collaboration-across-disciplines
Dr. Christof Teuscher has been selected as the Maseeh Professor of Electrical and Computer Engineering in the Maseeh College of Engineering and Computer Science at Portland State University. His visionary research seeks to redefine how we build computers and what we understand computing to be. Continue…
Check out or latest article:
P. Banda and C. Teuscher, COEL: A Cloud-Based Reaction Network Simulator, Frontiers in Robotics and AI, 3(13), 2016. DOI: http://dx.doi.org/10.3389/frobt.2016.00013
You can access COEL here: http://coel-sim.org
Applications for the 2016 Graduate Research and Mentoring Program (GRMP) are now accepted: http://bit.ly/GRMPApplication
Application deadline: Fri, Apr 22, 2016, 11:59pm
What we do in a nutshell…
Check out the new Graduate Research and Mentoring Program (GRMP) opportunity at http://www.teuscher-lab.com/grmp!
Interested? Enroll in the ECE 507 Scholarship Bootcamp (Wed, 11:30am-12:35pm, CRN: 65573) in the Spring term 2016.
Check out our latest publication: Macias Nicholas Jesse, Teuscher Christof, Durbeck Lisa J. K, Design of Introspective Circuits for Analysis of Cell-Level Dis-orientation in Self-Assembled Cellular Systems, Frontiers in Robotics and AI, 3(2), 2016, http://dx.doi.org/10.3389/frobt.2016.00002
Check out the new movie clip of the ECE Embedded Systems Track, one of the most popular tracks in the department.
Check out some new and cool work we’ve been involved in that was just published in the Frontiers in Neuroscience.
Citation: Xinjie Guo, Farnood Merrikh-Bayat, Ligang Gao, Fabien Alibart, Brian Hoskins, Luke Theogarajan, Christof Teuscher, Bernabe Linares-Barranco, Dmitri Strukov, Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits, Frontiers in Neuroscience, 9(00488), 2015. DOI: http://dx.doi.org/10.3389/fnins.2015.00488
Abstract: The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield network implementing an analog-to-digital converter (ADC) with up to 8 bits of precision. Major shortcomings affecting the ADC’s precision, such as the non-ideal behavior of CMOS circuitry and the specific limitations of memristors, were investigated and an effective solution was proposed, capitalizing on the in-field programmability of memristors. The theoretical work was validated experimentally by demonstrating the successful operation of a 4-bit ADC circuit implemented with discrete Pt/TiO2−x/Pt memristors and CMOS integrated circuit components.
Andrew Boysen at UPENN is maintaining a more recent and updated branch of our “legacy” MATLAB RBN toolbox. His code is available on GitHub: https://github.com/CSFive/MATLAB_Kauffman_NK_Random_Boolean_Network