Untersuchungen zur Modellierung und Schaltungsrealisierung von synaptischer Plastizitaet
Christian Mayr

TL;DR
This paper presents models of synaptic plasticity derived from biological data and their implementation in CMOS circuits for adaptive information processing.
Contribution
It introduces CMOS circuit implementations of biologically inspired synaptic plasticity models, including short-term, long-term, and metaplasticity.
Findings
Successful CMOS implementation of synaptic plasticity models
Demonstrated adaptive processing capabilities in hardware
Bridged biological measurements with VLSI design
Abstract
This manuscript deals with the analysis and VLSI implementation of adaptive information processing derived from biological measurements. Specifically, models for short term plasticity, long term plasticity and metaplasticity are derived from biological measurements and implemented in CMOS circuits.
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neuroscience and Neural Engineering · CCD and CMOS Imaging Sensors
