Replicating experimental spike and rate based neural learning in CMOS. - Christian Mayr 001; Marko Noack; Johannes Partzsch; René Schüffny (ISCAS, 2010)

Synapse dynamics in CMOS derived from a model of neurotransmitter release. - Marko Noack; Christian Mayr 001; Johannes Partzsch; René Schüffny (ECCTD, 2011)

Live demonstration: Multiple-timescale plasticity in a neuromorphic system. - Christian Mayr 001; Johannes Partzsch; Marko Noack; René Schüffny (ISCAS, 2013)

VLSI implementation of a conductance-based multi-synapse using switched-capacitor circuits. - Marko Noack; Markus Krause; Christian Mayr 001; Johannes Partzsch; René Schüffny (ISCAS, 2014)

OTA based 200 GΩ resistance on 700 μm2 in 180 nm CMOS for neuromorphic applications. - Christian Mayr 001; Michael Schultz; Marko Noack; Stephan Henker; Johannes Partzsch; René Schüffny (CoRR, 2014)

Switched-Capacitor Realization of Presynaptic Short-Term-Plasticity and Stop-Learning Synapses in 28 nm CMOS. - Marko Noack; Johannes Partzsch; Christian Mayr 001; Stefan Hänzsche; Stefan Scholze; Sebastian Höppner; Georg Ellguth; René Schüffny (CoRR, 2014)

A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits. - Christian Mayr 001; Johannes Partzsch; Marko Noack; Stefan Hänzsche; Stefan Scholze; Sebastian Höppner; Georg Ellguth; René Schüffny (IEEE Trans. Biomed. Circuits Syst., 2016)

Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System. - Johannes Partzsch; Christian Mayr 001; Massimiliano Giulioni; Marko Noack; Stefan Hänzsche; Stefan Scholze; Sebastian Höppner; Paolo Del Giudice; René Schüffny (J. Signal Process. Syst., 2020)