Neuromorphic engineering systems are electronic devices that emulate the spike based computational paradigm. CMOS processes scaling yield mismatch and non-ideality that limit the performances of the device. A neuromorphic approach to address this problem is to implement the SHP in silicon. The SHP is implemented by an AGC with a LPF with long time constants. Given such LPF challenging specifications, I developed a compact CMOS filter architecture based on leakages currents in a pMOS device

Implementing Homeostatic Plasticity in Analog VLSI

Rovere, Giovanni
2013/2014

Abstract

Neuromorphic engineering systems are electronic devices that emulate the spike based computational paradigm. CMOS processes scaling yield mismatch and non-ideality that limit the performances of the device. A neuromorphic approach to address this problem is to implement the SHP in silicon. The SHP is implemented by an AGC with a LPF with long time constants. Given such LPF challenging specifications, I developed a compact CMOS filter architecture based on leakages currents in a pMOS device
2013-10-18
neuromorphic, long time constants, LPF ,neuron, silicon, artificial, sub hertz, subthreshold
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/17693