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Journal articles on the topic 'Neuro-Inspired electronics'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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1

Hamilton, Tara Julia, Saeed Afshar, Andre van Schaik, and Jonathan Tapson. "Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits." Proceedings of the IEEE 102, no. 5 (2014): 843–59. http://dx.doi.org/10.1109/jproc.2014.2310713.

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2

Lee, Wang Wei, Yu Jun Tan, Haicheng Yao, et al. "A neuro-inspired artificial peripheral nervous system for scalable electronic skins." Science Robotics 4, no. 32 (2019): eaax2198. http://dx.doi.org/10.1126/scirobotics.aax2198.

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The human sense of touch is essential for dexterous tool usage, spatial awareness, and social communication. Equipping intelligent human-like androids and prosthetics with electronic skins—a large array of sensors spatially distributed and capable of rapid somatosensory perception—will enable them to work collaboratively and naturally with humans to manipulate objects in unstructured living environments. Previously reported tactile-sensitive electronic skins largely transmit the tactile information from sensors serially, resulting in readout latency bottlenecks and complex wiring as the number
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3

Yu, Shimeng. "Neuro-Inspired Computing With Emerging Nonvolatile Memorys." Proceedings of the IEEE 106, no. 2 (2018): 260–85. http://dx.doi.org/10.1109/jproc.2018.2790840.

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4

Susi, Gianluca, Simone Acciarito, Teodoro Pascual, Alessandro Cristini, and Fernando Maestú. "Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism." International Journal on Advanced Science, Engineering and Information Technology 9, no. 2 (2019): 569. http://dx.doi.org/10.18517/ijaseit.9.2.8347.

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5

Wang, Qiang, Gang Niu, Wei Ren, et al. "Phase Change Random Access Memory for Neuro‐Inspired Computing." Advanced Electronic Materials 7, no. 6 (2021): 2001241. http://dx.doi.org/10.1002/aelm.202001241.

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6

Kuzum, Duygu. "Neuro-Inspired Computing with Resistive Switching Devices [Guest Editorial]." IEEE Nanotechnology Magazine 12, no. 3 (2018): 4. http://dx.doi.org/10.1109/mnano.2018.2849799.

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7

Galluccio, Laura, Sergio Palazzo, and G. Enrico Santagati. "Characterization of molecular communications among implantable biomedical neuro-inspired nanodevices." Nano Communication Networks 4, no. 2 (2013): 53–64. http://dx.doi.org/10.1016/j.nancom.2013.03.001.

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8

Luo, Yuan-Chun, Jae Hur, and Shimeng Yu. "Ferroelectric Tunnel Junction Based Crossbar Array Design for Neuro-Inspired Computing." IEEE Transactions on Nanotechnology 20 (2021): 243–47. http://dx.doi.org/10.1109/tnano.2021.3066319.

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9

Germanese, Danila, Sara Colantonio, Mario D’Acunto, Veronica Romagnoli, Antonio Salvati, and Maurizia Brunetto. "An E-Nose for the Monitoring of Severe Liver Impairment: A Preliminary Study." Sensors 19, no. 17 (2019): 3656. http://dx.doi.org/10.3390/s19173656.

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Biologically inspired to mammalian olfactory system, electronic noses became popular during the last three decades. In literature, as well as in daily practice, a wide range of applications are reported. Nevertheless, the most pioneering one has been (and still is) the assessment of the human breath composition. In this study, we used a prototype of electronic nose, called Wize Sniffer (WS) and based it on an array of semiconductor gas sensor, to detect ammonia in the breath of patients suffering from severe liver impairment. In the setting of severely impaired liver, toxic substances, such as
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10

Yan, Xiaobing, Zhenyu Zhou, Jianhui Zhao, et al. "Flexible memristors as electronic synapses for neuro-inspired computation based on scotch tape-exfoliated mica substrates." Nano Research 11, no. 3 (2018): 1183–92. http://dx.doi.org/10.1007/s12274-017-1781-2.

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11

Chou, Yu-Che, Chien-Wei Tsai, Chin-Ya Yi, Wan-Hsuan Chung, Shin-Yuan Wang, and Chao-Hsin Chien. "Neuro-Inspired-in-Memory Computing Using Charge-Trapping MemTransistor on Germanium as Synaptic Device." IEEE Transactions on Electron Devices 67, no. 9 (2020): 3605–9. http://dx.doi.org/10.1109/ted.2020.3008887.

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12

Si-Yu Liao, Jean-Marie Retrouvey, Guillaume Agnus, et al. "Design and Modeling of a Neuro-Inspired Learning Circuit Using Nanotube-Based Memory Devices." IEEE Transactions on Circuits and Systems I: Regular Papers 58, no. 9 (2011): 2172–81. http://dx.doi.org/10.1109/tcsi.2011.2112590.

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13

Yan, Yan, Kamen Ivanov, Olatunji Mumini Omisore, et al. "Gait Rhythm Dynamics for Neuro-Degenerative Disease Classification via Persistence Landscape- Based Topological Representation." Sensors 20, no. 7 (2020): 2006. http://dx.doi.org/10.3390/s20072006.

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Neuro-degenerative disease is a common progressive nervous system disorder that leads to serious clinical consequences. Gait rhythm dynamics analysis is essential for evaluating clinical states and improving quality of life for neuro-degenerative patients. The magnitude of stride-to-stride fluctuations and corresponding changes over time—gait dynamics—reflects the physiology of gait, in quantifying the pathologic alterations in the locomotor control system of health subjects and patients with neuro-degenerative diseases. Motivated by algebra topology theory, a topological data analysis-inspire
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14

García Carrillo, Luis Rodolfo, Kyriakos G. Vamvoudakis, and João Pedro Hespanha. "Approximate optimal adaptive control for weakly coupled nonlinear systems: A neuro-inspired approach." International Journal of Adaptive Control and Signal Processing 30, no. 8-10 (2015): 1494–522. http://dx.doi.org/10.1002/acs.2631.

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15

Wang, Fu-Cheng, You-Chi Li, Kai-Lin Wu, Po-Yin Chen, and Li-Chen Fu. "Online Gait Detection with an Automatic Mobile Trainer Inspired by Neuro-Developmental Treatment." Sensors 20, no. 12 (2020): 3389. http://dx.doi.org/10.3390/s20123389.

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This paper demonstrates the development of an automatic mobile trainer employing inertial movement units (IMUs). The device is inspired by Neuro-Developmental Treatment (NDT), which is an effective rehabilitation method for stroke patients that promotes the relearning of motor skills by repeated training. However, traditional NDT training is very labor intensive and time consuming for therapists, thus, stroke patients usually cannot receive sufficient rehabilitation training. Therefore, we developed a mobile assisted device that can automatically repeat the therapists’ intervention and help in
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16

Chen, Pai-Yu, Xiaochen Peng, and Shimeng Yu. "NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37, no. 12 (2018): 3067–80. http://dx.doi.org/10.1109/tcad.2018.2789723.

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17

Arena, Paolo, Luca Patanè, and Salvatore Taffara. "Energy Efficiency of a Quadruped Robot with Neuro-Inspired Control in Complex Environments." Energies 14, no. 2 (2021): 433. http://dx.doi.org/10.3390/en14020433.

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This paper proposes an analysis of the energy efficiency of a small quadruped robotic structure, designed based on the MIT Mini Cheetah, controlled using a central pattern generator based on the FitzHugh–Nagumo neuron. The robot’s performance evaluated on structurally complex terrain in a dynamic simulation environment is compared with other robotic structures on wheels and with hybrid architectures. The energy cost involved in carrying out an assigned task involving the need to traverse uneven terrain is calculated as a relevant index to be taken into account. In particular, simple control st
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18

Cho, Sung Woon, Sung Min Kwon, Minkyung Lee, et al. "Multi-spectral gate-triggered heterogeneous photonic neuro-transistors for power-efficient brain-inspired neuromorphic computing." Nano Energy 66 (December 2019): 104097. http://dx.doi.org/10.1016/j.nanoen.2019.104097.

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19

Marco, S., A. Gutiérrez-Gálvez, A. Lansner, et al. "A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation." Microsystem Technologies 20, no. 4-5 (2013): 729–42. http://dx.doi.org/10.1007/s00542-013-2020-8.

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20

Culita, Janetta, Simona Iuliana Caramihai, Ioan Dumitrache, Mihnea Alexandru Moisescu, and Ioan Stefan Sacala. "An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities." Sensors 20, no. 24 (2020): 7209. http://dx.doi.org/10.3390/s20247209.

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Smart cities are complex, socio-technological systems built as a strongly connected System of Systems, whose functioning is driven by human–machine interactions and whose ultimate goals are the well-being of their inhabitants. Consequently, controlling a smart city is an objective that may be achieved by using a specific framework that integrates algorithmic control, intelligent control, cognitive control and especially human reasoning and communication. Among the many functions of a smart city, intelligent transportation is one of the most important, with specific restrictions and a high leve
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21

"Neurocomputing." Issue 4, Volume 5 (July 30, 2020): 214–19. http://dx.doi.org/10.46243/jst.2020.v5.i4.pp214-219.

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A novel wise neuro-computing algorithm is introduced and careful thus on vogue and implement a nano-communication network for various applications like medical and industrial signal method. Firstly, the thought of artificial neural network (ANN) for process is explained . Associate in Nursingd utility of modeling a nano-scale network by associate degree optimized neuro computing algorithm is mentioned exploitation binary neuro-modeling. Convergence of technology with biotechnology, information technology, and psychological feature technology (NBIC) as a main trend in science and technology. Th
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22

Bolat, Sami, Galo Torres Sevilla, Alessio Mancinelli, et al. "Synaptic transistors with aluminum oxide dielectrics enabling full audio frequency range signal processing." Scientific Reports 10, no. 1 (2020). http://dx.doi.org/10.1038/s41598-020-73705-w.

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Abstract The rapid evolution of the neuromorphic computing stimulates the search for novel brain-inspired electronic devices. Synaptic transistors are three-terminal devices that can mimic the chemical synapses while consuming low power, whereby an insulating dielectric layer physically separates output and input signals from each other. Appropriate choice of the dielectric is crucial in achieving a wide range of operation frequencies in these devices. Here we report synaptic transistors with printed aluminum oxide dielectrics, improving the operation frequency of solution-processed synaptic t
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23

Stoliar, Pablo, Olivier Schneegans, and Marcelo J. Rozenberg. "A Functional Spiking Neural Network of Ultra Compact Neurons." Frontiers in Neuroscience 15 (February 25, 2021). http://dx.doi.org/10.3389/fnins.2021.635098.

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We demonstrate that recently introduced ultra-compact neurons (UCN) with a minimal number of components can be interconnected to implement a functional spiking neural network. For concreteness we focus on the Jeffress model, which is a classic neuro-computational model proposed in the 40’s to explain the sound directionality detection by animals and humans. In addition, we introduce a long-axon neuron, whose architecture is inspired by the Hodgkin-Huxley axon delay-line and where the UCNs implement the nodes of Ranvier. We then interconnect two of those neurons to an output layer of UCNs, whic
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