Header

UZH-Logo

Maintenance Infos

Browse by Creators

Navigate back| Up a level
Export as
Number of items: 4.

Covi, E; George, R; Frascaroli, J; Brivio, S; Mayr, C; Mostafa, H; Indiveri, G; Spiga, S (2018). Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons. Journal of Physics D: Applied Physics, 51(34):344003.

Noack, M; Krause, M; Mayr, C; Partzsch, J; Schüffny, R (2014). VLSI implementation of a conductance-based multi-synapse using switched- capacitor circuits. In: IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, 1 June 2014 - 5 June 2014, 850-853.

Du, N; Manjunath, N; Shuai, Y; Bürger, D; Skorupa, I; Schüffny, R; Mayr, C; Basov, D; Di Ventra, M; Schmidt, O; Schmidt, H (2014). Novel implementation of memristive systems for data encryption and obfuscation. Journal of Applied Physics, 115:124501.

Mayr, C; Schultz, M; Noack, M; Henker, S; Partzsch, J; Schuffny, R (2014). OTA based 200 GΩ resistance on 700 μm2 in 180 nm CMOS for neuromorphic applications. Quantitative Biology. Neurons and Cognition 1409.0171, Institute of Neuroinformatics.

This list was generated on Tue Jun 25 19:13:21 2019 CEST.