FOR 2093


Memristive Hebbian Plasticity Model: Device Requirements for the Emulation of Hebbian Plasticity Based on Memristive Devices
Ziegler, M., Riggert, C., Hansen, M., Bartsch, T., and Kohlstedt, H.
IEEE Transactions on Biomedical Circuits and Systems 9: 197-206 (2015).

Pattern recognition with TiOx-based memristive devices
Zahari, F., Hansen, M., Mussenbrock, T., Ziegler, M., and Kohlstedt, H.
AIMS Materials Science 2: 203-216 (2015).

The hippocampus in aging and disease: From plasticity to vulnerability
Bartsch, T., Wulff, P.,
Neuroscience pii: S0306-4522(15)00711-3 (2015).

A double barrier memristive device
Hansen, M., Ziegler, M., Kolberg, L., Soni, R., Dirkmann, S., Mussenbrock, T., and Kohlstedt, H.
Scientific Reports 5, Article number: 13753 (2015).

A memristive spiking neuron with firing rate coding
Ignatov M., Ziegler M., Hansen M., Petraru A., and Kohlstedt H.
Front. Neurosci. 9:376. doi: 10.3389/fnins.2015.00376.

Kinetic simulation of filament growth dynamics in memristive electrochemical metallization devices
Dirkmann,S., Ziegler, M., Hansen, M., Kohlstedt, H., Trieschmann, J., and Mussenbrock, T.
J. Appl. Phys. 118, 214501 (2015).