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Neural Oscillators Programming Simplified

Patrick McDowell, Theresa Beaubouef
2012 Applied Computational Intelligence and Soft Computing  
Although there has been significant study in this area, it is difficult to find basic guidelines for programming neural oscillators.  ...  In this paper, the authors approach neural oscillators from a programmer's point of view, providing background and examples for developing neural oscillators to generate rhythmic patterns that can be used  ...  Conclusions Neural oscillators are a fundamental component of robotics programming where robotic movement mimicking some form of natural rhythmic behavior is desired.  ... 
doi:10.1155/2012/963917 fatcat:etx4z5itzzgzvpv3trzklplkay

Assessment of Technical Condition of Polyurethane Foam Thermal Insulation Pipelines of Heating Networks Using Neural Network Technologies

Emil R. Saifullin, Shamil G. Ziganshin, Yury V. Vankov, Airat R. Zagretdinov
2018 International Journal of Engineering & Technology  
To simplify, accelerate and improve the reliability of monitoring the technical condition of pipelines, the authors set the goal of diagnosing the object of research using acoustic methods, using neural  ...  The frequency of natural oscillations of the pipeline is chosen as the determining parameter of the acoustic signal.  ...  Acknowledgement The works performed according to the Russian Government Program of Competitive Growth of Kazan Federal University.  ... 
doi:10.14419/ijet.v7i4.7.20556 fatcat:i53tkx4jhfer5nsphgwtirjpme

Snake Robot Controlled by Biomimetic CPGs

Damien Blanchard, Kazuyuki Aihara, Timothée Levi
2019 Journal of Robotics, Networking and Artificial Life (JRNAL)  
Most rhythmic movements are programmed by CPG networks [2] . CPGs are neural networks capable of producing rhythmic patterned outputs without sensory input.  ...  Our first work was to simplify this model by applying Izhikevich neurons [10] instead of HH model.  ...  for World-Leading Innovative R&D Science and Technology) program from 2010 to 2014 by CSTP (Council for Science and Technology Policy).  ... 
doi:10.2991/jrnal.k.190220.010 fatcat:3mftpwyjo5fpxnhbtv7khsviaq

GENETIC ALGORITHMS FOR GAIT SYNTHESIS IN A HEXAPOD ROBOT [chapter]

M. Anthony Lewis, Andrew H. Fagg, George A. Bekey
1994 Recent Trends in Mobile Robots  
First, an oscillator for the individual leg movements is evolved. Then, a network of these oscillators is evolved to coordinate the movements of the different legs.  ...  In contrast to the main stream work in neural networks, the interconnection weights are altered by a Genetic Algorithm (GA), rather than a learning algorithm.  ...  Neural networks are usually programmed by using minimization of a cost function to adjust the network weights.  ... 
doi:10.1142/9789814354301_0011 fatcat:7yhwb6uzmrdyfavadfiu2j4f54

Artificial Neural Network Control of Battery Energy Storage System to Damp-Out Inter-Area Oscillations in Power Systems

Heung-Jae Lee, Seong-Su Jhang, Won-Kun Yu, Jung-Hyun Oh
2019 Energies  
This paper proposed an ANN (Artificial Neural Network) controller to damp out inter-area oscillation of a power system using BESS (Battery Energy Storage System).  ...  It is then verified that each controller can damp out inter-area oscillations at its own condition but not satisfactorily at the other condition.  ...  of PSCAD/EMTDC program and MATLAB simulation program.  ... 
doi:10.3390/en12173372 fatcat:ovudheswc5h6ddh4ekduz43vkm

A Bidirectional Wireless Link for Neural Prostheses that Minimizes Implanted Power Consumption

Soumyajit Mandal, Rahul Sarpeshkar
2007 2007 IEEE Biomedical Circuits and Systems Conference  
We describe a bidirectional impedance-modulation wireless data link for implanted neural prostheses.  ...  Simplified view of the neural prosthesis system described in [5] .  ...  We gratefully acknowledge the support of the McGovern Institute Neurotechnology (MINT) program. Fig. 2 . 2 Simplified schematic of the external transceiver.  ... 
doi:10.1109/biocas.2007.4463305 fatcat:gbmmv342ave6pfslajtnpeazg4

Design of Four-wave Oscillating Cellular-Neural-Network

Guohe Zhang, Shaochong Lei, Feng Liang, Mamoru Tanaka, Basnet Ganesh Kumar
2011 IEICE Electronics Express  
This paper proposes a method to analyze the behavior of the oscillating CNN (Cellular-Neural-Networks), and develops a way to design this system of Four-waves.  ...  After investigating the behaviors of the CNN cells, it provides a simplified model named One-cell model to calculate the frequency and the amplitude of the oscillating wave.  ...  Then a simplified model is presented to analyze the oscillating frequency and amplitude.  ... 
doi:10.1587/elex.8.944 fatcat:6dnky7zgujf3lis7tuff5hrmcq

The dynamics inside the box

John E. Lewis
2000 Nature Neuroscience  
A neuronal oscillator generates the rhythm in each segment along the cord, and these oscillators are connected in a long chain.  ...  Some may consider a neural system understood when they discover its qualitative behavior, whereas others will not be satisfied until they have a detailed description of the neural mechanisms underlying  ... 
doi:10.1038/73865 pmid:10725916 fatcat:ry756y2ghff4rgexwud7xsktri

Transient Power Quality Recognition Based on BP Neural Network Theory

Xu Tongyu, Zheng wei, Sun Peng, Zhang Qin
2012 Energy Procedia  
Firstly, the mathematical models of five kinds of transient disturbance signals, such as voltage surging, voltage sag, voltage interruption, transient pulse and transient oscillation are founded.  ...  This paper researches on the combination between wavelet transformation and neural network to realize the transient power quality disturbance signals' recognition.  ...  transient oscillations.  ... 
doi:10.1016/j.egypro.2012.01.220 fatcat:afp43ccktrgyrjkqeea54jil3y

Memory-Centric Neuromorphic Computing With Nanodevices

Damien Querlioz, Julie Grollier, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Marc Bocquet, Jean-Michel Portal, Miguel Romera, Philippe Talatchian
2019 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)  
We have for example fabricated neural networks where magnetic memories are used as nonlinear oscillators to implement neurons, and their electrical couplings implement synapses.  ...  We give the example of a hardware binarized neural network with resistive memory.  ...  In neuroscience, neural networks have frequently been modeled as coupled non-linear auto-oscillators [28] , and the computational power of such structures is recognized.  ... 
doi:10.1109/biocas.2019.8919010 dblp:conf/biocas/QuerliozGHKNVBP19 fatcat:yttn7g4clfevhpcnhjrkzbvzre

Design of Hardware-Based Biomimetic Neural Networks Exhibiting Oscillatory Burst Firing of Lamprey Nervous System

Katsuyuki Morishita, Yuki Takei, Ken Saito
2020 Transactions of The Japan Institute of Electronics Packaging  
We designed hardware-based neural networks (HNNs) that resemble neural functions of the lamprey using electronic circuits. The lamprey has a relatively simple nervous system among vertebrates.  ...  The burst oscillation resembles the neural function of the lamprey in which the left and right segments alternately oscillate. In Fig. 1 . 1 Circuit diagrams of cell body and synapse models.Fig. 2.  ...  These bursts resemble the neural function in which burst the oscillation propa- We plan to use shape-memory alloys as actuators for a lamprey-type robot.  ... 
doi:10.5104/jiepeng.13.e20-007-1 fatcat:zqf6cv43zjgsvm5u2md4ktj4ky

Modeling the Effect of Temperature on the Nanotube Field Effect Transistors Using Neural Network

Menacer Farid, Kadri Abdelmalek
2016 International Journal of Hybrid Information Technology  
The neural model is tested and validated; hence the ANN model is able to predict the CNTFET behavior with good accuracy.  ...  An Artificial Neural Networks (ANN) model was developed to reproduce accurately the behavior of CNTFET to predict its response for a wide range of temperature and voltage with focusing on the experimental  ...  the neural model, we observed a well-functioning of the proposed ring oscillator.  ... 
doi:10.14257/ijhit.2016.9.10.15 fatcat:emzj227bojajlpbg2fugklupua

Page 7240 of Mathematical Reviews Vol. , Issue 97K [page]

1997 Mathematical Reviews  
Grassmann-Pliicker identities and Laplace expansions of determinants are used to simplify the initial transition proba- bilities.  ...  The procedure for producing splits-graphs implemented in the SPLITSTREE program is also described and it is available from the authors.”  ... 

Supplementary Damping Controller Design using Direct Heuristic Dynamic Programming in Complex Power Systems

Chao Lu, Jennie Si
2008 IFAC Proceedings Volumes  
In this paper a neural network-based approximate dynamic programming method, namely direct heuristic dynamic programming (direct HDP), is applied to power system stability enhancement.  ...  In modern, large scale interconnected power grids, low-frequency oscillation is a key roadblock to improved power transmission capacity.  ...  The approximation is used to solve the curse of dimensionality of dynamic programming.  ... 
doi:10.3182/20080706-5-kr-1001.02531 fatcat:cbsyeiqttbgjdbda7idtvaq3b4

On-Board Detection, Classification and Evaluation of Nonlinearities

Wojciech Toczek
2006 Instrumentation and Measurement Technology Conference (IMTC), Proceedings, IEEE  
The model of the Van der Pol oscillator is used as a programmable reference source of nonlinear oscillation.  ...  The tester is based on a sigma-delta modulator located on a board and artificial neural networks implemented in an attached personal computer.  ...  There was a need to minimize the signature length by decimation of the counter output in order to simplify the neural network architecture and shorten its training time.  ... 
doi:10.1109/imtc.2006.235831 fatcat:nxjbixpa4za23hhkjcg6kho7ki
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