Literature DB >> 20866655

Josephson junction simulation of neurons.

Patrick Crotty1, Dan Schult, Ken Segall.   

Abstract

With the goal of understanding the intricate behavior and dynamics of collections of neurons, we present superconducting circuits containing Josephson junctions that model biologically realistic neurons. These "Josephson junction neurons" reproduce many characteristic behaviors of biological neurons such as action potentials, refractory periods, and firing thresholds. They can be coupled together in ways that mimic electrical and chemical synapses. Using existing fabrication technologies, large interconnected networks of Josephson junction neurons would operate fully in parallel. They would be orders of magnitude faster than both traditional computer simulations and biological neural networks. Josephson junction neurons provide a new tool for exploring long-term large-scale dynamics for networks of neurons.

Mesh:

Year:  2010        PMID: 20866655     DOI: 10.1103/PhysRevE.82.011914

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

1.  Characterization of Uniformity in Nb/NbxSi1-x/Nb Josephson Junctions.

Authors:  Ian W Haygood; Eric R J Edwards; Anna E Fox; Matthew R Pufall; Michael L Schneider; William H Rippard; Paul D Dresselhaus; Samuel P Benz
Journal:  IEEE Trans Appl Supercond       Date:  2019-06-12

2.  Superconducting Bio-Inspired Au-Nanowire-Based Neurons.

Authors:  Olga V Skryabina; Andrey E Schegolev; Nikolay V Klenov; Sergey V Bakurskiy; Andrey G Shishkin; Stepan V Sotnichuk; Kirill S Napolskii; Ivan A Nazhestkin; Igor I Soloviev; Mikhail Yu Kupriyanov; Vasily S Stolyarov
Journal:  Nanomaterials (Basel)       Date:  2022-05-13       Impact factor: 5.719

3.  Adiabatic superconducting cells for ultra-low-power artificial neural networks.

Authors:  Andrey E Schegolev; Nikolay V Klenov; Igor I Soloviev; Maxim V Tereshonok
Journal:  Beilstein J Nanotechnol       Date:  2016-10-05       Impact factor: 3.649

Review 4.  Beyond Moore's technologies: operation principles of a superconductor alternative.

Authors:  Igor I Soloviev; Nikolay V Klenov; Sergey V Bakurskiy; Mikhail Yu Kupriyanov; Alexander L Gudkov; Anatoli S Sidorenko
Journal:  Beilstein J Nanotechnol       Date:  2017-12-14       Impact factor: 3.649

5.  BrainFreeze: Expanding the Capabilities of Neuromorphic Systems Using Mixed-Signal Superconducting Electronics.

Authors:  Paul Tschirhart; Ken Segall
Journal:  Front Neurosci       Date:  2021-12-21       Impact factor: 4.677

6.  Low-temperature emergent neuromorphic networks with correlated oxide devices.

Authors:  Uday S Goteti; Ivan A Zaluzhnyy; Shriram Ramanathan; Robert C Dynes; Alex Frano
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

7.  Superconducting disordered neural networks for neuromorphic processing with fluxons.

Authors:  Uday S Goteti; Han Cai; Jay C LeFebvre; Shane A Cybart; Robert C Dynes
Journal:  Sci Adv       Date:  2022-04-22       Impact factor: 14.957

8.  Oscillatory threshold logic.

Authors:  Jon Borresen; Stephen Lynch
Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

9.  Ultralow power artificial synapses using nanotextured magnetic Josephson junctions.

Authors:  Michael L Schneider; Christine A Donnelly; Stephen E Russek; Burm Baek; Matthew R Pufall; Peter F Hopkins; Paul D Dresselhaus; Samuel P Benz; William H Rippard
Journal:  Sci Adv       Date:  2018-01-26       Impact factor: 14.136

10.  Chaos and multi-scroll attractors in RCL-shunted junction coupled Jerk circuit connected by memristor.

Authors:  Jun Ma; Ping Zhou; Bashir Ahmad; Guodong Ren; Chunni Wang
Journal:  PLoS One       Date:  2018-01-17       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.