Memristive Synapses and Neurons for Bioinspired Computing

2019 ◽  
Vol 5 (9) ◽  
pp. 1900287 ◽  
Author(s):  
Rui Yang ◽  
He‐Ming Huang ◽  
Xin Guo
Keyword(s):  
Bioinspired Computing

Bioinspired computing nets for directionality in vision

Computing ◽  
2012 ◽  
Vol 94 (5) ◽  
pp. 449-462 ◽  
Author(s):  
Gabriel de Blasio ◽  
Arminda Moreno-Díaz ◽  
Roberto Moreno-Díaz
Keyword(s):  
Bioinspired Computing

The computational power of timed P systems with active membranes using promoters

2018 ◽  
Vol 29 (5) ◽  
pp. 663-680 ◽  
Author(s):  
YUEGUO LUO ◽  
HAIJUN TAN ◽  
YING ZHANG ◽  
YUN JIANG
Keyword(s):  
P Systems ◽  
P System ◽  
Computational Power ◽  
Computable Set ◽  
Complete Problem ◽  
Active Membranes ◽  
New Variant ◽  
Uniform Solution ◽  
Bioinspired Computing ◽  
Computing Models

P systems with active membranes are a class of bioinspired computing models, where the rules are used in the non-deterministic maximally parallel manner. In this paper, first, a new variant of timed P systems with active membranes is proposed, where the application of rules can be regulated by promoters with only two polarizations. Next, we prove that any Turing computable set of numbers can be generated by such a P system in the time-free way. Moreover, we construct a uniform solution to the$\mathcal{SAT}$problem in the framework of such recognizer timed P systems in polynomial time, and the feasibility and effectiveness of the proposed system is demonstrated by an instance. Compared with the existing methods, the P systems constructed in our work require fewer necessary resources and RS-steps, which show that the solution is effective toNP-complete problem.

scholarly journals Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Fawad Zaman
Keyword(s):  
Proximity Effect ◽  
Joint Angle ◽  
Fitness Function ◽  
Pattern Search ◽  
Estimation Accuracy ◽  
Unknown Parameters ◽  
Swarm Optimization ◽  
Multiple Signals ◽  
Amplitude Estimation ◽  
Bioinspired Computing

The aim of this work is to estimate jointly the elevation and azimuth angles along with the amplitudes of multiple signals impinging on 1-L- and 2-L-shape arrays. An efficient mechanism based on hybrid Bioinspired techniques is proposed for this purpose. The global search optimizers such as Differential Evolution (DE) and Particle Swarm optimization (PSO) are hybridized with a local search optimizer called pattern search (PS). Approximation theory in Mean Square Error sense is exploited to develop a fitness function of the problem. The unknown parameters of multiple signals transmitted by far-field sources are estimated with the strength of hybrid DE-PS and PSO-PS. The effectiveness of the proposed techniques is tested in terms of estimation accuracy, proximity effect, convergence, and computational complexity.

scholarly journals Tri-Band, Stable and Compact Patch Frequency Selective Surface Optimized via Hybrid Bioinspired Computing for Applications at 2.4, 3.5 and 5.8 GHz

2021 ◽  
Vol 20 (3) ◽  
pp. 570-584
Author(s):  
Flávio H. C. S. Ferreira ◽  
Jasmine P. L. Araújo ◽  
Alfredo Gomes Neto ◽  
Ianes B. G. Coutinho ◽  
Fabrício J. B. Barros ◽  
...  
Keyword(s):  
Frequency Selective Surface ◽  
Bioinspired Computing ◽  
Frequency Selective

scholarly journals Adaptative parallel simulators for bioinspired computing models

2020 ◽  
Vol 107 ◽  
pp. 469-484 ◽  
Author(s):  
Miguel Á. Martínez-del-Amor ◽  
Ignacio Pérez-Hurtado ◽  
David Orellana-Martín ◽  
Mario J. Pérez-Jiménez
Keyword(s):  
Bioinspired Computing ◽  
Computing Models

scholarly journals Spintronic Nanodevices for Bioinspired Computing

2016 ◽  
Vol 104 (10) ◽  
pp. 2024-2039 ◽  
Author(s):  
Julie Grollier ◽  
Damien Querlioz ◽  
Mark D. Stiles
Keyword(s):  
Bioinspired Computing
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