Collaborators: Kris Campbell, Elisa Barney Smith, Vishal Saxena

Students: Adrian Rothenbuler, Thanh Tran,

Funding Sources: CIF: Small: Realizing Chip-scale Bio-inspired Spiking Neural Networks with Monolithically Integrated Nano-scale Memristors, NSF Grant #CIF-1320987; Principal Investigator: Elisa Barney Smith; Co-Principal Investigator: Vishal Saxena, Kristy Campbell

Memristors are considered the fourth basic two terminal circuit element, along with resistors, inductors and capacitors. They have the ability to change resistance based on the applied voltage.

The Memristors, fabricated by Dr Campbell in CMOS-compatible processes, have been demonstrated to exhibit concurrence with biophysical models of synaptic plasticity and learning – spike timing-dependent plasticity (STDP). We have explored the effect of the pulse shape on their response and we have used them to design reconfigurable Threshold Logic Gates (TLG).

Publications:

• Kristy A Campbell, Kolton Drake, Elisa Barney Smith, “Pulse Shape and Timing Dependence on the Spike-Timing Dependent Plasticity Response of Ion-Conducting Memristors as Synapses,” Frontiers in Bioengineering and Biotechnology 12/2016; 4(pt. B).

• Adrian Rothenbuhler, Thanh Tran, Elisa H. Barney Smith, Vishal Saxena, Kristy A. Campbell, “Reconfigurable Threshold Logic Gates using Memristive Devices,” Journal of Low Power Electronics and Applications, Vol. 3, 2013, pp. 174-193.

• Adrian Rothenbuhler, MS EE, “A Memristor-Based Neuromorphic Computing Application,” Masters Thesis, December 2012.

• Thanh Tran, Adrian Rothenbuhler, Elisa H. Barney Smith, Vishal Saxena and Kristy A. Campbell, “Reconfigurable Threshold Logic Gates using Memristive Devices,” 2012 IEEE Subthreshold Microelectronics Conference, Waltham, MA, 9-10 October 2012.

• Thanh Tran, MS EE, “Simulation of Artificial Neural Network with Memristive Devices," Masters Thesis, August 2012.