Browsing by Author "Fyrigos, Iosif-Angelos"

Now showing items 1-9 of 9

    • A reprogrammable graphene nanoribbon-based logic gate 

      Rallis, Konstantinos; Fyrigos, Iosif-Angelos; Dimitrakis, Panagiotis; Dimitrakopoulos, George N.; Karafyllidis, Ioannis; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (2023)
      Article
      Open Access
      In 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 

      Chatzipaschalis, Ioannis; Tompris, Ioannis; Stavroulakis, Emmanouil; Chatzinikolaou, Theodoros Panagiotis; Fyrigos, Iosif-Angelos; Fraidakis, Pantelis; Calomarde Palomino, Antonio; Gomá Torrellas, Rafael; Sirakoulis, Georgios Ch.; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2024)
      Conference report
      Open Access
      Spatio-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 ...

    • CBRAM-based bio-inspired circuit for the emulation and treatment of the Parkinson’s Disease 

      Chatzipaschalis, Ioannis; Tsipas, Evangelos; Fyrigos, Iosif-Angelos; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (2024-04)
      Article
      Restricted access - author's decision
      In 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 

      Fyrigos, Iosif-Angelos; Chatzinikolaou, Theodoros Panagiotis; Ntinas, Vasileios; Kitsios, Stavros; Bousoulas, Panagiotis; Tsompanas, Michael-Antisthenis; Tsoukalas, Dimitris; Adamatzky, Andrew; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Restricted access - publisher's policy
      The 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 ...

    • MemCA: all-memristor design for deterministic and probabilistic cellular automata hardware realization 

      Ntinas, Vasileios; Fyrigos, Iosif-Angelos; Karamani, Rafallia; Vasileiadis, Nikolaos; Dimitrakis, Panagiotis; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023-05-08)
      Article
      Open Access
      Inspired 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 ...

    • Memristor-based cellular automata for natural language processing 

      Chatzipaschalis, Ioannis; Chatzinikolaou, Theodoros Panagiotis; Fyrigos, Iosif-Angelos; Adamatzky, Andrew; Rubio Sola, Jose Antonio; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference report
      Restricted access - publisher's policy
      Towards 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 ...

    • Unconventional computing with memristive nanocircuits 

      Tsipas, Evangelos; Chatzinikolaou, Theodoros Panagiotis; Tsakalos, Karolos-Alexandros; Rallis, Konstantinos; Karamani, Rafallia; Fyrigos, Iosif-Angelos; Kitsios, Stavros; Bousoulas, Panagiotis; Tsoukalas, Dimitris; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022-12-01)
      Article
      Restricted access - publisher's policy
      Computing demands are growing rapidly as bigdata and artificial intelligence applications become increasingly tasking. Bio-inspired and quantum-based techniques are proving to be quite promising for the development of novel ...

    • Unconventional memristive nanodevices 

      Tsipas, Evangelos; Chatzinikolaou, Theodoros Panagiotis; Tsakalos, Karolos-Alexandros; Rallis, Konstantinos; Karamani, Rafallia; Fyrigos, Iosif-Angelos; Kitsios, Stavros; Bousoulas, Panagiotis; Tsoukalas, Dimitris; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022-12-01)
      Article
      Open Access
      One of the most enticing candidates for next-generation computing systems is the memristor. Memristor-based novel architectures have demonstrated considerable promise in replacing or augmenting traditional computing platforms ...

    • Wave cellular automata for computing applications 

      Chatzinikolaou, Theodoros Panagiotis; Fyrigos, Iosif-Angelos; Ntinas, Vasileios; Kitsios, Stavros; Bousoulas, Panagiotis; Tsompanas, Michael-Antisthenis; Tsoukalas, Dimitris; Adamatzky, Andrew; Sirakoulis, Georgios Ch. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Restricted access - publisher's policy
      There is a continuous urge for higher efficiency in conventional computing systems, driven by an ever-growing demand for these systems’ complexity to be able to match the one of convoluted and challenging problems. However, ...