title: Adaptive Neuromorphic Architecture (ANA).
abstract: We designed Adaptive Neuromorphic Architecture (ANA) that self-adjusts its inherent parameters (for instance, the resonant frequency) naturally following the stimuli frequency. Such an architecture is required for brain-like engineered systems because some parameters of the stimuli (for instance, the stimuli frequency) are not known in advance. Such adaptivity comes from a circuit element with memory, namely mem-inductor or mem-capacitor (memristor's sisters), which is history-dependent in its behavior. As a hardware model of biological systems, ANA can be used to adaptively reproduce the observed biological phenomena in amoebae.
authors.affiliation: School of Computing, University of Kent, UK. frankwang@ieee.org
authors.forename: Frank Zhigang
authors.initials: FZ
authors.lastname: Wang
authors.forename: Leon O
authors.initials: LO
authors.lastname: Chua
authors.forename: Xiao
authors.initials: X
authors.lastname: Yang
authors.forename: Na
authors.initials: N
authors.lastname: Helian
authors.forename: Ronald
authors.initials: R
authors.lastname: Tetzlaff
authors.forename: Torsten
authors.initials: T
authors.lastname: Schmidt
authors.forename: Caroline
authors.initials: C
authors.lastname: Li
authors.forename: Jose Manuel Garcia
authors.initials: JM
authors.lastname: Carrasco
authors.forename: Wanlong
authors.initials: W
authors.lastname: Chen
authors.forename: Dominique
authors.initials: D
authors.lastname: Chu
mesh_terms: D000818:Animals; D001921:Brain / Q000166:cytology; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D009488:Neurosciences / Q000295:instrumentation*
keywords: Brain-like engineered systems; Memristors; Neural circuits; Neuromorphic engineering