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Neural representations of time-linked memory

NEUROBIOLOGY OF LEARNING AND MEMORY 2018年第PT A期153卷 57-70页

作者： Pilkiw, Maryna Takehara-Nishiuchi, Kaori Univ Toronto Dept Cell & Syst Biol Toronto ON M5S 3G3 Canada Univ Toronto Dept Psychol Toronto ON M5S 3G3 Canada Univ Toronto Neurosci Program Toronto ON M5S 3G3 Canada

Many cognitive processes, such as episodic memory and decision making, rely on the ability to form associations between two events that occur separately in time. The formation of such temporal associations depends on neural representations of three types of information: what has been presented (trace holding), what will follow (temporal expectation), and when the following event will occur (explicit timing). The present review seeks to link these representations with firing patterns of single neurons recorded while rodents and non-human primates associate stimuli, outcomes, and motor responses over time intervals. Across these studies, two distinct firing patterns were observed in the hippocampus, neocortex, and striatum: some neurons change firing rates during or shortly after the stimulus presentation and sustain the firing rate stably or sidlingly during the subsequent intervals (tonic firings). Other neurons transiently change firing rates during a specific moment within the time intervals (phasic firings), and as a group, they form a sequential firing pattern that covers the entire interval. Clever task designs used in some of these studies collectively provide evidence that both tonic and phasic firing responses represent trace holding, temporal expectation, and explicit timing. Subsequently, we applied machine learning based classification approaches to the two firing patterns within the same dataset collected from rat medial prefrontal cortex during trace eyeblink conditioning. This quantitative analysis revealed that phasic firing patterns showed greater selectivity for stimulus identity and temporal position than tonic-firing patterns. Our summary illuminates distributed neural representations of temporal association in the forebrain and generates several ideas for future investigations.

关键词： Time Episodic memory Temporal association Neural code Single-unit activity Ensemble decoding

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Heuristic approach for nonlinear n × n (3 ≤ n ≤ 7) substitution-boxes 3rd

Heuristic approach for nonlinear n × n (3 ≤ n ≤ 7) substi...

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3rd international conference on Computer and Communication Technologies, IC3T 2016

作者： Ahmad, Musheer Alauddin, M. AlSharari, Hamed D. Faculty of Engineering and Technology Department of Computer Engineering Jamia Millia Islamia New Delhi110025 India Department of Petroleum Studies ZH College of Engineering and Technology Aligarh Muslim University Aligarh202002 India Department of Electrical Engineering College of Engineering AlJouf University Al-Jouf Saudi Arabia

ISBN: (纸本)9789811032226

Substitution boxes are meant to enact nonlinear transformations of n-bit input streams to n-bit output streams. A highly nonlinear essence of them is imperative to induce obligatory confusion of data and to mitigate the potential linear cryptanalysis as well. It has been known that cryptographically potent S-boxes are creditworthy for the success of modern block encryption systems. This paper proposes to suggest an approach to frame a generic design that has the efficacy of synthesizing highly nonlinear balanced n × n S-boxes for 3 ≤ n ≤ 7. The proposed approach is based on the heuristic optimization that seeks for local and global best S-box candidates on each iteration. The resultant optimized S-boxes are provided and tested for nonlinearity soundness. The performance outcomes and assessment analysis justify that the generic approach is consistent for contriving highly nonlinear key-dependent S-boxes. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Heuristic methods

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Tradeoff between storage cost and repair cost for cloud storage

Tradeoff between storage cost and repair cost for cloud stor...

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IEEE international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Pengfei Liu Lin Zheng Quan Yu Huiying Ye Ministry of Education Wuhan University of Technology Hubei Inland Shipping Technology Key Laboratory Wuhan China

Cloud storage systems.(CSS) are heterogeneous in nature. In such a heterogeneous distributed storage system, how to identify a tradeoff between system storage cost and system repair cost is investigated by analyzing the min-cut constraints of information flow graph. Moreover, it is proved that the number of min-cut constraints can be greatly reduced such that the tradeoff curve can be established in polynomial time.

关键词： Cloud computing Maintenance engineering Cascading style sheets Flow graphs Optimization distributed databases Big Data

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proceedings of 3rd international conference on the Industry 4.0 Model for Advanced Manufacturing 1st ed. 2018

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丛书名： Lecture Notes in Mechanical Engineering

2018年

作者： Jun Ni Vidosav D. Majstorovic Dragan Djurdjanovic

ISBN: (数字)9783319895635

ISBN: (纸本)9783319895628

This book presents the proceedings of the 3rd international conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2018), held in Belgrade, Serbia, on 57 June 2018, the latest in a series of high-level conferences that brings together experts from academia and industry to exchange knowledge, ideas, experiences, research findings, and information in the field of manufacturing. The book addresses a wide range of topics, including, for example, design of smart and intelligent products, developments in CAD/CAM technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable manufacturing systems. By providing updates on key issues and recent advances in manufacturing engineering and technologies, it aids the transfer of vital knowledge to the next generation of academics and practitioners. It appeals to anyone working or conducting research in this rapidly evolving field.

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Secured and High Performance distributed Big Data Storage in Cloud systems

Secured and High Performance Distributed Big Data Storage in...

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international conference on Computers, Communications, and systems.(ICCCS)

作者： Delwar Hossain Muhammad Abdullah Adnan Department of ICT Bngladesh University of Professionals Dhaka Bangladesh Department of CSE Bangladesh University of Engineering and Technology Dhaka Bangladesh

ISBN: (纸本)9781538663516

Big Data Security and privacy are key concerns for cloud computing. At the initial stage, security was not considered for processing Big Data because of insufficient research and adequate security technology. Now researchers have to think new ways for cloud storage and Big Data security to overcome exiting security challenges of Big Data storage. For rapid Big Data processing, encryption is often considered as a big obstacle as clear data processing is much faster than encrypted data. But for cloud system, encrypted data processing is not a big deal because of massive processing power of cloud systems. So encryption will not be an obstacle and degrade the performance to process encrypted Big Data at cloud. There is a big challenge now to store and provide security in small chunk in cloud system and also key management. This paper provides novel approach for Big Data security over cloud namely Secured and High Performance distributed Big Data Storage (SH-DBDS) model. Data will be split and uploaded for distributed cloud storage system. Single split data will be worthless until and unless joined with the other parts of the data. In this paper, an algorithm has been provided to split and join the data. Experimentation is performed with different data sets (10MB-1GB) at local system and AWS cloud and performance is measured. Evaluation is done considering the security and performance of Big Data.

关键词： Cloud computing Encryption Big Data distributed databases

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Context-Aware systems.and Applications, and Nature of Computation and Communication 1st ed. 2018

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丛书名： Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2018年

作者： Phan Cong Vinh Nguyen Ha Huy Cuong Emil Vassev

ISBN: (数字)9783319778181

ISBN: (纸本)9783319778174

This book constitutes the refereed post-conference proceedings of the international conferences ICCASA and ICTCC 2017, held in November 2017 in Tam Ky City, Vietnam. The 23 revised full papers presented were carefully selected from 31 submissions. The papers of ICCASA cover a wide spectrum in the area of context-aware-systems. CAS is characterized by its self- facets such as self-organization, self-configuration, self-healing, self-optimization, self-protection used to dynamically control computing and networking functions. The papers of ICTCC cover formal methods for self-adaptive systems.and discuss natural approaches and techniques for computation and communication.

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Adoption of an e-book system based on Eve platform using a distributed control schema of a virtual network 3

Adoption of an e-book system based on Eve platform using a d...

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3rd international conference on Recent Trends and Applications in Computer Science and Information Technology, RTA-CSIT 2018

作者： Adem, Era Bojaxhiu, Areti Faculty of Natural Sciences University of Tirana Tirana Albania

In recent years, technology is evolving very fast and more and more people are choosing e-books over traditional books. E-books offer many advantages and benefits. Furthermore, multi-agent systems.have been the subject of intensive research over the past few years. Multi-agent systems.are difficult to implement and adapt in different environments because require abstract modeling and higher level reasoning. Virtual environments, on the other hand, offer the ideal means to produce simulations of the real world for purposes of education, telecommunication, medicine etc. The merging of these two fields seems to have a lot to offer to both research and applications, if progress is made in a coordinated manner and towards standardization. This project aims to create an e-book system with Eve platform which is a multipurpose, web-based agent platform. Eve is an open and dynamic environment where agents can live and act anywhere: in the cloud, on smart phones, on desktops, in browsers, robots, home automation devices, and others. The agents communicate with each other using JSON-RPC protocol. © 2018 CEUR-WS.

关键词： Multi agent systems

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Research on Optimization of distributed Big Data Real-Time Management Method

Research on Optimization of Distributed Big Data Real-Time M...

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international conference on Smart City and systems.Engineering

作者： Ping Lin Chi Feng Industry Vocational Technology College The Department of Machinery and Automation

ISBN: (纸本)9781728113678;9781728113661

In order to solve the problems of poor data compatibility and poor management effect in the current distributed big data real-time management method, optimizing the distributed data real-time management method by cloud computing. Firstly, the data features are extracted by using the cloud computing method, and are transmitted to the data feature management set for real-time management according to the extraction result. The data real-time management process is optimized according to the feature set to achieve the research goal of simplifying the data management process and optimizing the data management effect. The experimental results show that the optimized distributed big data real-time management method has a significant improvement compared with the traditional method. Data classification compatibility is relatively better, fully meeting the actual needs of current management of massive data.

关键词： distributed databases Real-time systems Big Data Cloud computing Feature extraction Task analysis Data mining

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Application of Deep Learning Method in Short-term Load Forecasting of Characteristic Enterprises 18

Application of Deep Learning Method in Short-term Load Forec...

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international conference on Artificial Intelligence and Cloud computing (AICCC)

作者： Dou, Yuchen Zhang, Xinman Wu, Zhihui Zhang, Hang Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710049 Shaanxi Peoples R China Guangdong Xian Jiaotong Univ Acad 3 Daliangdesheng East Rd Foshan 528000 Guangdong Peoples R China

ISBN: (纸本)9781450366236

Short-term load forecasting is an important basic work for the normal operation and control of power systems. The results of power load forecasting have a great impact on dispatching operation of the power system and the production operation of the enterprise. Accurate load forecasting would help improve the safety and stability of power system and save the cost of enterprise. In order to extract the effective information contained in the data and improve the accuracy of short-term load forecasting, this paper proposes a long-short term memory neural network model (LSTM) with deep learning ability for short-term load forecasting combined with clustering algorithm. Deep learning is in line with the trend of big data and has a strong ability to learn and summarize large amounts of data. Through the research on the characteristics and influencing factors of the characteristic enterprises, the collected samples are clustered to establish similar day sets. This paper also studies the impact of different types of load data on prediction and the actual problem of input training sample selection. The LSTM prediction model is built with subdividing and clustering the input load sample set. Compared with other traditional methods, the results prove that LSTM proposed has higher accuracy and applicability.

关键词： Short-term Load Forecasting Deep Learning Long-short Term Memory Neural Network Model Clustering Algorithm Similar Day Set

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PhyCS 2016 - proceedings of the 3rd international conference on Physiological computing systems

PhyCS 2016 - Proceedings of the 3rd International Conference...

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3rd international conference on Physiological computing systems. PhyCS 2016

ISBN: (纸本)9789897581977

The proceedings contain 17 papers. The topics discussed include: a systematic assessment of operational metrics for modeling operator functional state;evaluating body tracking interaction in floor projection displays with an elderly population;how are we connected? - measuring audience galvanic skin response of connected performances;automatic detection and recognition of human movement patterns in manipulation tasks;effect of a real-time psychophysiological feedback, its display format and reliability on cognitive workload and performance;measuring the effect of classification accuracy on user experience in a physiological game;space connection - a multiplayer collaborative biofeedback game to promote empathy in teenagers: a feasibility study;and detecting and capitalizing on physiological dimensions of psychiatric illness.

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