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2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)最新文献

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Optimization via efficient learning in CNNs: Cognitively-motivated temporal discount functions in SRNNs cnn中有效学习的优化:srnn中的认知动机时间折扣函数
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430289
R. Kozma, R. Ilin
{"title":"Optimization via efficient learning in CNNs: Cognitively-motivated temporal discount functions in SRNNs","authors":"R. Kozma, R. Ilin","doi":"10.1109/CNNA.2010.5430289","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430289","url":null,"abstract":"Cellular Neural Networks (CNNs) are universal computing machines embodying basic computational principles of cortical tissues. Simultaneous Recurrent Neural Networks (SRNNs) have shown clear advantages in solving complex optimization and decision making problems. Based on biological intuition, we introduce temporal discount functions in training SRNNs as a generalization of the adaptive learning rate concept. The proposed procedure results in drastic, 3-5-fold acceleration of learning, demonstrated through the maze navigation problem.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122809257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Analysis of biomédical textured images with application of synchronized oscillator-based CNN 应用同步振荡器的CNN分析生物医学纹理图像
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430254
M. Strzelecki, Joonwhoan Lee, SungHwan Jeong
{"title":"Analysis of biomédical textured images with application of synchronized oscillator-based CNN","authors":"M. Strzelecki, Joonwhoan Lee, SungHwan Jeong","doi":"10.1109/CNNA.2010.5430254","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430254","url":null,"abstract":"This paper is focused on the analysis of biomedical images, including textured ones. A segmentation method, based on network of synchronized oscillators is presented. Oscillator networks can be considered as a special case of the CNN. Its oscillatory dynamics allows encoding the different features of objects forming the visual scene, thus makes these network suitable for medium level image processing, like image segmentation. Oscillator networks can process both two and three dimensional images. The proposed method was tested on several biomedical images acquired with the use of different modalities. Principles of operation of the oscillator networks are described and discussed. Obtained segmentation results for sample 2D and 3D biomedical images are presented and compared to image segmentation based on multilayer perceptron network (MLP).","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129471382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
State-flow and state-scan CNN architectures 状态流和状态扫描CNN架构
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430342
L. Spaanenburg, S. Malki
{"title":"State-flow and state-scan CNN architectures","authors":"L. Spaanenburg, S. Malki","doi":"10.1109/CNNA.2010.5430342","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430342","url":null,"abstract":"The Cellular Neural Network is an obvious candidate for multi-core realization. For reason of its seemingly simple architecture, it is therefore the ideal candidate to evaluate techniques for multi-core technology mapping. In this paper it is studied how a CNN implementation can be unrolled in space or in time to fit the specific characteristics of a multi-core platform. It illustrates that this is a crucial step that sets the basic performance of a multi-core realization.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129716832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Memristors and Bernoulli dynamics 忆阻器和伯努利动力学
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430324
E. Drakakis, S. Yaliraki, Mauricio Barahona
{"title":"Memristors and Bernoulli dynamics","authors":"E. Drakakis, S. Yaliraki, Mauricio Barahona","doi":"10.1109/CNNA.2010.5430324","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430324","url":null,"abstract":"This paper introduces a novel theoretical framework suitable for the study of memristors. The articulation of the framework relies upon the identification of a certain type of dynamics which comply with Bernoulli's differential equation and are thus termed Bernoulli dynamics. The paper explains how the Bernoulli dynamics: a) govern the dynamic behaviour of the ideal Williams memristors and other memelements, and b) how they can be exploited for the derivation and subsequent study of analytic expressions of the form Imres = f(Vmres) or Vmres = g(Imres) which define the relation between the memristor current Imres and the memristor voltage Vmres Implications of the adoption of the new theoretical framework for future memristor-based circuit research are also discussed.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129940122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 31
CNN using memristors for neighborhood connections CNN使用忆阻器进行邻域连接
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430304
E. Lehtonen, M. Laiho
{"title":"CNN using memristors for neighborhood connections","authors":"E. Lehtonen, M. Laiho","doi":"10.1109/CNNA.2010.5430304","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430304","url":null,"abstract":"In this paper we consider using memristors to implement the neighborhood connections of a CNN. First the benefits and drawbacks of using memristors as programmable CNN weights are described. Then, an existing memristor model is improved to allow full-scale simulation of the design. The new model is implemented in the SPICE simulation environment and is not restricted to CNN applications. Then, the CNN cell design is presented and simulations describing memristor programming are performed.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127419340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 180
CNN implemented by nonlinear phase dynamics in nanoscale processes 纳米尺度过程中非线性相动力学实现的CNN
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430305
P. Riechers, R. Kiehl
{"title":"CNN implemented by nonlinear phase dynamics in nanoscale processes","authors":"P. Riechers, R. Kiehl","doi":"10.1109/CNNA.2010.5430305","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430305","url":null,"abstract":"We discuss CNNs in which the states are defined by the electrical phase of a dynamic physical process, such as electron tunneling in ultra-small junctions or integrate-and-fire processes in nanoscale structures or molecules. Such processes produce impulsive \"neuron-like\" waveforms which can be coupled to nearest neighbors in a 1D, 2D, or 3D array. Input data can be represented by the distribution of dc bias level, initial charge, or coupling strength within the array. Information processing can be realized through the nonlinear dynamics produced by interactions between elements, which give rise to an evolution of complex patterns in the phase-state. In this paper, we discuss information processing for a model physical system based on Coulomb blockade in a 2D array of ultra-small tunnel junctions.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127331046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Fast generation of natural textures with Cellular Neural Networks-based stitching 基于细胞神经网络的拼接快速生成自然纹理
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430311
K. Slot, .. Komatowski
{"title":"Fast generation of natural textures with Cellular Neural Networks-based stitching","authors":"K. Slot, .. Komatowski","doi":"10.1109/CNNA.2010.5430311","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430311","url":null,"abstract":"The following paper presents a novel method for texture synthesis, which combines simple patch-based texture mapping with an appropriate stitching procedure, performed by means of Cellular Neural Networks. Texture mapping involves placement of same-size blocks, extracted randomly from some reference texture image, at regularly-spaced locations. Gaps between blocks are next filled with contents generated by means of a Cellular Neural Network. A CNN is expected to spontaneously transform its initial random state into a texture-fitting pattern. The appropriate template is designed by approaching a CNN from a linear filter perspective: template's transfer function is expected to match a spectrum of a target texture. The main advantage of the proposed method is its fast speed of texture rendering, combined with good-quality of generated images.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130374939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Implementation of a drosophila-inspired orientation model on the Eye-Ris platform 在Eye-Ris平台上实现一个受果蝇启发的定向模型
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430286
L. Alba, P. Arena, S. De Fiore, L. Patané, R. Strauss, G. Vagliasindi
{"title":"Implementation of a drosophila-inspired orientation model on the Eye-Ris platform","authors":"L. Alba, P. Arena, S. De Fiore, L. Patané, R. Strauss, G. Vagliasindi","doi":"10.1109/CNNA.2010.5430286","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430286","url":null,"abstract":"A behavioral model, recently derived from experiments on fruit-flies, was implemented, with successful comparative experiments on orientation control in real robots. This model has been firstly implemented in a standard CNN structure, using an algorithm based on classical, space-invariant templates. Subsequently, the Eye-Ris platform was utilised for the implementation of the whole strategy, at the aim to constitute a stand alone smart sensor for orientation control in bio-inspired robotic platforms. The Eye-Ris vl.2 is a visual system, made by Anafocus, that employs a fully-parallel mixed-signal array sensor-processor chip. Some experiments are reported using a commercial roving platform, the Pioneer P3-AT, showing the reliability of the proposed implementation and usefulness in higher level perceptual tasks.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"107 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131956867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Cellular multi-core fusion-tracking system 蜂窝多核融合跟踪系统
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430283
C. Rekeczky, T. Kozek
{"title":"Cellular multi-core fusion-tracking system","authors":"C. Rekeczky, T. Kozek","doi":"10.1109/CNNA.2010.5430283","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430283","url":null,"abstract":"A novel real-time signal processing device has been designed and implemented for improved target feature extraction, discrimination, and tracking. The device utilizes a unique combination of advanced signal processing techniques for multi-spectral fusion and image analysis. It incorporates state-of-the-art algorithm and the associated electronics to combine the functions of a multi-spectral fusion (MSF) engine and a multi-target tracking and discrimination (MTTD) engine. The resulting compact MSF-MTTD system, currently is capable of processing image flows from two external sensors (e.g. infrared and visible) by utilizing the processing power of massively parallel cellular nonlinear processor architectures at different levels of processing. Within this framework topographic data fusion (Stage 1) is followed by parallel feature extraction (Stage 2) and the analysis, tracking and discrimination (Stage 3) of multiple targets at ultra-high frame rates (>1000 fps). The compact (<2in¿3) light-weight (<25 g), low-power (<5 W for the entire system) prototype of the multi-core MSF-MTTD engine and system has been implemented on high-end FPGAs and will be described in this paper.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133786059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Demonstration of real-time asynchronous grayscale and binary wave operations on the MIPA4k 在MIPA4k上演示实时异步灰度和二进制波操作
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI: 10.1109/CNNA.2010.5430337
J. Poikonen, M. Laiho, P. Virta, A. Paasio
{"title":"Demonstration of real-time asynchronous grayscale and binary wave operations on the MIPA4k","authors":"J. Poikonen, M. Laiho, P. Virta, A. Paasio","doi":"10.1109/CNNA.2010.5430337","DOIUrl":"https://doi.org/10.1109/CNNA.2010.5430337","url":null,"abstract":"This paper presents a demonstration on various grayscale and binary processing operations performed in real-time on the MIPA4k array processor prototype system. The emphasis of the demonstration is on asynchronous wave propagation operations in both grayscale and binary domains and a related object segmentation and tracking algorithm discussed. However, also the functionalities proposed in the other CNNA 2010 papers related to the MIPA4k as well as other grayscale and binary operations are demonstrated.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"10 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131374084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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