检索结果-内蒙古大学图书馆

International Conference on Cognitive Infocommunications (CogInfoCom)

作者： H. Mohabeer K.M.S Soyjaudah Department of Electrical and Electronic Engineering University of Mauritius Reduit Mauritius

In this paper we propose a new encoding scheme utilises predictive coding technique in order to increase the efficiency of evolving artificial neural network. The predictor encodes the sample data fed to the system and the artificial neural network acts as the decoder. The latter is trained using a data model created via predictive coding, which is generated from the initial sample. Only the residual data output from the encoder is fed to the artificial neural network for authentication. Distributed and local processing has been simultaneously used in parallel and in synchrony. Comparison of the simulation results with those obtained using traditional methods such as selective biometric features shows an improvement in efficiency of up to 80% while utilising a lower complexity neural network.

关键词： Artificial neural networks Encoding Genetic algorithms Biological cells predictive coding Biological neural networks Training

来源：评论

学校读者我要写书评

暂无评论

Foundations of anticipatory logic in biology and physics

引用

PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY 2017年 131卷 108-120页

作者： Bettinger, Jesse S. Eastman, Timothy E. Johns Hopkins Univ Ctr Talented Youth Baltimore MD 21218 USA Ctr Proc Studies Claremont CA USA Plasmas Int Silver Spring MD USA

Recent advances in modern physics and biology reveal several scenarios in which top-down effects (Ellis, 2016) and anticipatory systems (Rosen, 1980) indicate processes at work enabling active modeling and inference such that anticipated effects project onto potential causes. We extrapolate a broad landscape of anticipatory systems in the natural sciences extending to computational neuroscience of perception in the capacity of Bayesian inferential models of predictive processing. This line of reasoning also comes with philosophical foundations, which we develop in terms of counterfactual reasoning and possibility space, Whitehead's process thought, and correlations with Eastern wisdom traditions. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Complex systems predictive coding Anticipatory systems Causal modeling Abduction Entropy and syntropy Perception Neuroscience Bayesian modeling Quantum interpretations Interception Autopoietic dynamics Biosemiotics

来源：评论

学校读者我要写书评

暂无评论

COMPRESSION USING LOSSLESS DECIMATION: ANALYSIS AND APPLICATION

引用

SIAM JOURNAL ON SCIENTIFIC COMPUTING 2017年第4期39卷 B732-B757页

作者： Ainsworth, Mark Klasky, Scott Whitney, Ben Brown Univ Div Appl Math 182 George St Providence RI 02912 USA Oak Ridge Natl Lab Comp Sci & Math Div Oak Ridge TN 37831 USA

A crude but commonly used technique for compressing ordered scientific data consists of simply retaining every sth datum (with a value of s = 10 generally the default) and discarding the remainder. Should the value of a discarded datum be required afterwards, an approximation is generated by linear interpolation of the two nearest retained values. Despite the widespread use of this and similar techniques, there is little by way of theoretical analysis of their expected performance. First, we quantify the accuracy achieved by linear interpolation when approximating values discarded by decimation, obtaining both deterministic bounds in terms of appropriate smoothness measures of the data and probabilistic bounds in terms of statistics of the data. Second, we investigate the efficiency of the lossless compression scheme consisting of decimation coupled with encoding of the interpolation errors. In particular, we bound the expected compression ratio in terms of the appropriate measures of the data. Finally, we provide numerical illustrations of the practical performance of the algorithm on some real datasets.

关键词： lossy compression lossless compression decimation predictive coding

来源：评论

学校读者我要写书评

暂无评论

Decreasing predictability of visual motion enhances feed-forward processing in visual cortex when stimuli are behaviorally relevant

引用

BRAIN STRUCTURE & FUNCTION 2017年第2期222卷 849-866页

作者： Kellermann, Thilo Scholle, Ruben Schneider, Frank Habel, Ute Rhein Westfal TH Aachen Dept Psychiat Psychotherapy & Psychosomat Uniklin RWTH Aachen Pauwelsstr 30 D-52074 Aachen Germany JARA BRAIN Inst 1 Struct Funct Relationship D-52428 Julich Germany

Recent views of information processing in the (human) brain emphasize the hierarchical structure of the central nervous system, which is assumed to form the basis of a functional hierarchy. Hierarchical predictive processing refers to the notion that higher levels try to predict activity in lower areas, while lower levels transmit a prediction error up the hierarchy whenever the predictions fail. The present study aims at testing hypothetical modulatory effects of unpredictable visual motion on forward connectivities within the visual cortex. Functional magnetic resonance imaging was acquired from 35 healthy volunteers while viewing a moving ball under three different levels of predictability. In two different runs subjects were asked to attend to direction changes in the ball's motion, where a button-press was required in one of these runs only. Dynamic causal modeling was applied to a network comprising V1, V5 and posterior parietal cortex in the right hemisphere. The winning model of a Bayesian model selection indicated an enhanced strength in the forward connection from V1 to V5 with decreasing predictability for the run requiring motor response. These results support the notion of hierarchical predictive processing in the sense of an augmented bottom-up transmission of prediction error with increasing uncertainty about motion direction. This finding may be of importance for promoting our understanding of trait characteristics in psychiatric disorders, as an increased forward propagation of prediction error is assumed to underlie schizophrenia and may be observable at early stages of the disease.

关键词： Effective connectivity Dynamic causal modeling (DCM) predictive coding Hierarchical processing Prediction error

来源：评论

学校读者我要写书评

暂无评论

A novel reversible data hiding scheme using SMVQ prediction index and multi-layer embedding

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2017年第24期76卷 26225-26248页

作者： Wang, Lingfei Pan, Zhibin Zhu, Ruoxin Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710049 Peoples R China

In this paper, a novel reversible data hiding scheme which utilizes SMVQ prediction indices to embed secret data is proposed. As a result, it improves Yang's work, which takes advantage of counts of indices in data embedding. Our approach enhances the prediction of SMVQ, resulting in a more concentrated distribution of indices. Based on the distribution of SMVQ-p indices, in the embedding process, three clusters (CL (0), CL (1) and CL (2)) are defined. Indices in CL (0) are employed to embed secret data and can support a high embedding capacity. Indices in cluster CL (1) are employed for supporting a lower bit rate. Indices in cluster CL (2) are utilized for lossless reconstruction. Experimental results indicate that lower bit rate and higher embedding efficiency are obtained after encoding and embedding processes by our approach. Furthermore, experimental results demonstrate that the proposed method outperforms other state-of-the-art reversible data hiding schemes as well.

关键词： Reversible data hiding (RDH) Side-match vector quantization (SMVQ) Codebook clustering predictive coding Multi-layer embedding Steganography

来源：评论

学校读者我要写书评

暂无评论

Brain Rhythms of Pain

引用

TRENDS IN COGNITIVE SCIENCES 2017年第2期21卷 100-110页

作者： Ploner, Markus Sorg, Christian Gross, Joachim Tech Univ Munich Dept Neurol Munich Germany Tech Univ Munich TUMNeuroimaging Ctr Munich Germany Tech Univ Munich Dept Neuroradiol Munich Germany Tech Univ Munich Dept Psychiat Munich Germany Univ Glasgow Inst Neurosci & Psychol Glasgow Lanark Scotland

Pain is an integrative phenomenon that results from dynamic interactions between sensory and contextual (i.e., cognitive, emotional, and motivational) processes. In the brain the experience of pain is associated with neuronal oscillations and synchrony at different frequencies. However, an overarching framework for the significance of oscillations for pain remains lacking. Recent concepts relate oscillations at different frequencies to the routing of information flow in the brain and the signaling of predictions and prediction errors. The application of these concepts to pain promises insights into how flexible routing of information flow coordinates diverse processes that merge into the experience of pain. Such insights might have implications for the understanding and treatment of chronic pain.

关键词： brain information flow oscillations pain predictive coding

来源：评论

学校读者我要写书评

暂无评论

Study on Self-Adaptive Message Scheduler Used for the Vehicle Ad-hoc Network

引用

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2017年第5期33卷 1285-1305页

作者： Liu, Mingjian Tan, Guozhen Ding, Nan Zang, Fuxin Dalian Univ Technol Comp Sci Inst Dalian 116024 Peoples R China

To satisfy the strict demands of VANET (vehicular ad-hoc network) on communication rate, response speed as well as on reliability, a communication sublayer that provides reliable, real-time and qualified communication services for upper applications is constructed in VANET. By using the queuing theory and based on researching the message queues in VANET, the current study designed a scheme for optimizing the communication sublayer, and proposed mechanisms for message compression, sending-frequency self-adaption as well as for data transmission compression, which make up an easy-to-be deployed framework that provides safe, real-time and standard self-adaptive communication services for upper applications and which solve the problem that previous VANET communication is not reliable and real-time. Through simulation and real vehicle experiments,we verify that the design can well satisfy the communication requirements of VANET in terms of performance and functionality, bandwidth occupancy decrease by 47.8 % and 11.4% relatively compared with CMS (common message set) and unoptimized MD (message dispatcher) decreased,compared with CMS and unoptimized MD, the transmission frequency can decrease by 60% and 6.1%, and data compression ratio is 12.3%, thus proving the effectiveness of our scheme.

关键词： vehicle ad-hoc network communication layer queuing theory instantaneity predictive coding data compression

来源：评论

学校读者我要写书评

暂无评论

predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions

引用

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2017年第1期55卷 173-182页

作者： Shen, Hongda Pan, W. David Wu, Dongsheng Univ Alabama Dept Elect & Comp Engn Huntsville AL 35899 USA Univ Alabama Dept Math Sci Huntsville AL 35899 USA

This paper addresses the problem of efficient predictive lossless compression on the regions of interest (ROIs) in the hyperspectral images with no-data regions. We propose a two-stage prediction scheme, where a context-similarity-based weighted average prediction is followed by recursive least square filtering to decorrelate the hyperspectral images for compression. We then propose to apply separate Golomb-Rice codes for coding the prediction residuals of the full-context pixels and boundary pixels, respectively. To study the coding gains of this separate coding scheme, we introduce a mixture geometric model to represent the residuals associated with various combinations of the full-context pixels and boundary pixels. Both information-theoretic analysis and simulations on synthetic data confirm the advantage of the separate coding scheme over the conventional coding method based on a single underlying geometric distribution. We apply the aforementioned prediction and coding methods to four publicly available hyperspectral image data sets, attaining significant improvements over several other state-of-the-art methods, including the shape-adaptive JPEG 2000 method.

关键词： Hyperspectral images lossless compression no-data regions predictive coding region of interest (ROI)

来源：评论

学校读者我要写书评

暂无评论

Higher Emotional Intelligence Is Associated With a Stronger Rubber Hand Illusion

引用

MULTISENSORY RESEARCH 2017年第7-8期30卷 615-637页

作者： Perepelkina, Olga Boboleva, Maria Arina, Galina Nikolaeva, Valentina Lomonosov Moscow State Univ Psychol Dept Moscow 125009 Russia

The aim of the study was to investigate how emotion information processing factors, such as alexithymia and emotional intelligence, modulate body ownership and influence multisensory integration during the 'rubber hand illusion' (RHI) task. It was previously shown that alexithymia correlates with RHI, and we suggested that emotional intelligence should also be a top-down factor of body ownership, since it was not shown in previous experiments. We elaborated the study of Grynberg and Pollatos [Front. Hum. Neurosci. 9 (2015) 357] with an additional measure of emotional intelligence, and propose an explanation for the interrelation of emotion and body ownership processing. Eighty subjects took part in the RHI experiment and completed the Toronto Alexithymia Scale and the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Only MSCEIT was detected to be a significant predictor of the subjective measure of the RHI. There were no significant correlations between alexithymia scores and the test statements of the RHI or the proprioceptive drift, thus we did not replicate the results of Grynberg and Pollatos. However, alexithymia correlated with the control statements of subjective reports of the illusion, which might be explained as a disruption of the ability to discriminate and describe bodily experience. Therefore, (1) alexithymia seems to be connected with difficulties in conscious or verbal processing of body-related information, and (2) higher emotional intelligence might improve multisensory integration of body-related signals and reflect better predictive models of self-processing.

关键词： Alexithymia body ownership emotional intelligence multisensory integration predictive coding rubber hand illusion

来源：评论

学校读者我要写书评

暂无评论

Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment

引用

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2017年第4期28卷 830-848页

作者： Murata, Shingo Yamashita, Yuichi Arie, Hiroaki Ogata, Tetsuya Sugano, Shigeki Tani, Jun Waseda Univ Dept Modern Mech Engn Tokyo 1698555 Japan Natl Ctr Neurol & Psychiat Dept Funct Brain Res Tokyo 1878502 Japan RIKEN Brain Sci Inst Cognit & Behav Joint Res Lab Wako Saitama 3510198 Japan Waseda Univ Dept Intermedia Art & Sci Tokyo 1698050 Japan Korea Adv Inst Sci & Technol Dept Elect Engn Taejon 305701 South Korea

We suggest that different behavior generation schemes, such as sensory reflex behavior and intentional proactive behavior, can be developed by a newly proposed dynamic neural network model, named stochastic multiple timescale recurrent neural network (S-MTRNN). The model learns to predict subsequent sensory inputs, generating both their means and their uncertainty levels in terms of variance (or inverse precision) by utilizing its multiple timescale property. This model was employed in robotics learning experiments in which one robot controlled by the S-MTRNN was required to interact with another robot under the condition of uncertainty about the other's behavior. The experimental results show that self-organized and sensory reflex behavior-based on probabilistic prediction-emerges when learning proceeds without a precise specification of initial conditions. In contrast, intentional proactive behavior with deterministic predictions emerges when precise initial conditions are available. The results also showed that, in situations where unanticipated behavior of the other robot was perceived, the behavioral context was revised adequately by adaptation of the internal neural dynamics to respond to sensory inputs during sensory reflex behavior generation. On the other hand, during intentional proactive behavior generation, an error regression scheme by which the internal neural activity was modified in the direction of minimizing prediction errors was needed for adequately revising the behavioral context. These results indicate that two different ways of treating uncertainty about perceptual events in learning, namely, probabilistic modeling and deterministic modeling, contribute to the development of different dynamic neuronal structures governing the two types of behavior generation schemes.

关键词： Generative model neuro-robotics precision prediction error predictive coding recurrent neural network (RNN)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：