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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.

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