Browsing by Author "Sirakoulis, Georgios Ch."
Now showing items 1-20 of 24
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A digital memristor emulator for FPGA-based artificial neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policyFPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural networks (ANNs). To this end, the compact hardware (HW) implementation of artificial synapses is an important step to obtain ... -
A novel graphene nanoribbon XOR gate design
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Restricted access - publisher's policyGraphene is a 2D material with spectacular properties. Its elasticity and biocompatibility make it appropriate for stretchable electronics and bioelectronics applications respectfully. In this work, we present the design ... -
A pragmatic gaze on stochastic resonance based variability tolerant memristance
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessStochastic Resonance (SR) is a nonlinear system specific phenomenon, which was demonstrated to lead to system unexpected (counter-intuitive) performance improvements under certain noise conditions. Memristor, on the other ... -
A reprogrammable graphene nanoribbon-based logic gate
(2023)
Article
Open AccessIn this article, taking into consideration the exceptional technological properties of a unique 2-D material, namely Graphene, we are envisioning its usage as the structure material of a non-back-gated re-programmable ... -
A spatio-temporal-based concept for associative memory modeling with memristors
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessSpatio-temporal encoding in neural systems refers to the representation of information through the combined spatial and temporal patterns of neuronal activity and plays a fundamental role in various brain biological ... -
A TCAD model for silicon nitride based memristive devices
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Restricted access - publisher's policySi 3 N 4 -based ReRAM devices showcase intriguing performance characteristics of low switching threshold, high endurance and retention that lay the foundations for the development of the next-generation low-power artificial ... -
Beneficial role of noise in Hf-based memristors
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessThe beneficial role of noise in the performance of Hf-based memristors has been experimentally studied. The addition of an external gaussian noise to the bias circuitry positively impacts the memristors characteristics by ... -
Case study of a differential single-pole double-throw RF switch using memristors
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Restricted access - publisher's policyNanotechnology-enabled novel RF switches have emerged as a promising alternative to MEMS, owing to current technological limitations of the latter. Additionally, recent research endeavors in the telecommunications sector ... -
CBRAM-based bio-inspired circuit for the emulation and treatment of the Parkinson’s Disease
(2024-04)
Article
Restricted access - author's decisionIn recent years, the intrinsic neuromorphic properties of memristor devices have led to their extensive use in brain-inspired circuits and systems. The development of brain-inspired (nano)circuits incorporating memristors ... -
Compact thermo-diffusion based physical memristor model
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Restricted access - publisher's policyThe threshold switching effect is critical in memristor devices for a range of applications, from crossbar design reliability to simulating neuromorphic features using artificial neural networks. The rich inherit dynamics ... -
Coupled physarum-inspired memristor oscillators for neuron-like operations
(2018)
Conference report
Open AccessUnconventional computing has been studied intensively, even after the appearance of CMOS technology. Currently, it has returned to the spotlight because CMOS is about to reach its physical limits, given that the constant ... -
Current characteristics of defective GNR nanoelectronic devices
(2022)
Conference report
Open AccessThe most promising Graphene structures for the development of nanoelectronics and sensor applications are Graphene nanoribbons (GNRs). GNRs with perfect lattices have been extensively investigated in the research literature; ... -
Hardware design of memristor-based oscillators for emulation of neurological diseases
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Restricted access - publisher's policyOne of the most prominent examples of a complex system in nature is the nervous system, which exhibits oscillation phenomena across its structures, from single neurons to sophisticated neural networks. Memristors have been ... -
Heterogeneous memristive crossbar for in-memory computing
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Open AccessIt's been quite a while since scientists are seeking for the ancestor of von Neumann computing architecture. Among the most promising candidates, memristor demonstrates advantageous characteristics, which open new pathways ... -
MemCA: all-memristor design for deterministic and probabilistic cellular automata hardware realization
(Institute of Electrical and Electronics Engineers (IEEE), 2023-05-08)
Article
Open AccessInspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding long-distance information transfer of conventional computers by the massive parallel computation performed by a set of locally-coupled ... -
Memristive cellular automata for modeling of epileptic brain activity
(2018)
Conference report
Open AccessCellular Automata (CA) is a nature-inspired and widespread computational model which is based on the collective and emergent parallel computing capability of units (cells) locally interconnected in an abstract brain-like ... -
Memristor-based cellular automata for natural language processing
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Restricted access - publisher's policyTowards achieving efficient computational approaches, the perspective of Cellular Automata (CAs) appears to be highly potent, owing to its performance hidden in the parallel computing capabilities inherent in its local ... -
Modeling of memristor-based RF switches
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference lecture
Restricted access - publisher's policyThe enticing properties of memristors have been exploited for the design of novel circuits with great prospects, owing to the visible challenges posed by CMOS technology. Similarly, research efforts in the field of RF ... -
Novel circuit design methodology with graphene nanoribbon based devices
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessGraphene has attracted a high amount of interest in recent years in many research fields, including the field of electronics. Due to its spectacular properties, it is investigated as a candidate material for the realization ... -
Parkinson's treatment emulation using asynchronous cellular neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Restricted access - publisher's policyThe human brain can be considered as one of the most complex systems found in nature and its underlying physical and biological mechanisms have attracted an increasing research interest especially in reference to modeling ...
