Josephson junction simulation of neurons
1
Physics & Astronomy Department, Colgate University, Hamilton, New York 13346, USA
|
2
Mathematics Department, Colgate University, Hamilton, New York 13346, USA
|
Publication type: Journal Article
Publication date: 2010-07-19
scimago Q2
wos Q1
SJR: 0.705
CiteScore: 4.2
Impact factor: 2.4
ISSN: 24700045, 24700053, 15393755, 15502376, 1063651X, 10953787
PubMed ID:
20866655
Metals and Alloys
Mechanical Engineering
Industrial and Manufacturing Engineering
Strategy and Management
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.
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148
Total citations:
148
Citations from 2024:
38
(25.68%)
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Crotty P., Schult D., Segall K. Josephson junction simulation of neurons // Physical Review E. 2010. Vol. 82. No. 1. 011914
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Crotty P., Schult D., Segall K. Josephson junction simulation of neurons // Physical Review E. 2010. Vol. 82. No. 1. 011914
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TY - JOUR
DO - 10.1103/PhysRevE.82.011914
UR - https://doi.org/10.1103/PhysRevE.82.011914
TI - Josephson junction simulation of neurons
T2 - Physical Review E
AU - Crotty, Patrick
AU - Schult, Dan
AU - Segall, Ken
PY - 2010
DA - 2010/07/19
PB - American Physical Society (APS)
IS - 1
VL - 82
PMID - 20866655
SN - 2470-0045
SN - 2470-0053
SN - 1539-3755
SN - 1550-2376
SN - 1063-651X
SN - 1095-3787
ER -
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@article{2010_Crotty,
author = {Patrick Crotty and Dan Schult and Ken Segall},
title = {Josephson junction simulation of neurons},
journal = {Physical Review E},
year = {2010},
volume = {82},
publisher = {American Physical Society (APS)},
month = {jul},
url = {https://doi.org/10.1103/PhysRevE.82.011914},
number = {1},
pages = {011914},
doi = {10.1103/PhysRevE.82.011914}
}