Results for 'fronto-parietal network'

314 found
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  1. Altered Resting-State Functional Connectivity in Cortical Networks in Psychopathy.Carissa L. Philippi, Maia S. Pujara, Julian C. Motzkin, Joseph P. Newman, Kent A. Kiehl & Michael Koenigs - 2015 - The Journal of Neuroscience 35 (15):6068 – 6078.
    Psychopathy is a personality disorder characterized by callous antisocial behavior and criminal recidivism. Here we examine whether psychopathy is associated with alterations in functional connectivity in three large-scale cortical networks. Using fMRI in 142 adult male prison inmates, we computed resting-state functional connectivity using seeds from the default mode network, frontoparietal network, and cingulo-opercular network. To determine the specificity of our findings to these cortical networks, we also calculated functional connectivity using seeds from two comparison primary sensory (...)
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  2. A Role for the Anterior Insular Cortex in the Global Neuronal Workspace Model of Consciousness.Matthias Michel - 2017 - Consciousness and Cognition 49:333-346.
    According to the global neuronal workspace model of consciousness, consciousness results from the global broadcast of information throughout the brain. The global neuronal workspace is mainly constituted by a fronto-parietal network. The anterior insular cortex is part of this global neuronal workspace, but the function of this region has not yet been defined within the global neuronal workspace model of consciousness. In this review, I hypothesize that the anterior insular cortex implements a cross-modal priority map, the function of (...)
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  3. Necessary Ingredients of Consciousness: Integration of Psychophysical, Neurophysiological, and Consciousness Research for the Red-Green Channel.Ram Lakhan Pandey Vimal - 2009 - Vision Research Institute: Living Vision and Consciousness Research 1 (1).
    A general definition of consciousness is: ‘consciousness is a mental aspect of a system or a process, which is a conscious experience, a conscious function, or both depending on the context’, where the term context refers to metaphysical views, constraints, specific aims, and so on. One of the aspects of visual consciousness is the visual subjective experience (SE) or the first person experience that occurs/emerges in the visual neural-network of thalamocortical system (which includes dorsal and ventral visual pathways and (...)
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  4. Consciousness Despite Network Underconnectivity in Autism: Another Case of Consciousness Without Prefrontal Activity?William Hirstein - 2015 - In Rocco Gennaro (ed.), Disturbed Consciousness: New Essays on Psychopathology and Theories of Consciousness. The M. I. T, Press. pp. 249-263.
    Recent evidence points to widespread underconnectivity in autistic brains owing to deviant white matter, the fibers that make long connections between areas of the cortex. Subjects with autism show measurably fewer long-range connections between the parietal and prefrontal cortices. These findings may help shed light on the current debate in the consciousness literature about whether conscious states require both prefrontal and parietal/temporal components. If it can be shown that people with autism have conscious states despite such underconnectivity, this would constitute (...)
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  5. Beyond Sensorimotor Segregation: On Mirror Neurons and Social Affordance Space Tracking.Maria Brincker - 2015 - Cognitive Systems Research 34:18-34.
    Mirror neuron research has come a long way since the early 1990s, and many theorists are now stressing the heterogeneity and complexity of the sensorimotor properties of fronto-parietal circuits. However, core aspects of the initial ‘ mirror mechanism ’ theory, i.e. the idea of a symmetric encapsulated mirroring function translating sensory action perceptions into motor formats, still appears to be shaping much of the debate. This article challenges the empirical plausibility of the sensorimotor segregation implicit in the original mirror (...)
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  6. Moving Beyond Mirroring - a Social Affordance Model of Sensorimotor Integration During Action Perception.Maria Brincker - 2010 - Dissertation, City University of New York
    The discovery of so-called ‘mirror neurons’ - found to respond both to own actions and the observation of similar actions performed by others - has been enormously influential in the cognitive sciences and beyond. Given the self-other symmetry these neurons have been hypothesized as underlying a ‘mirror mechanism’ that lets us share representations and thereby ground core social cognitive functions from intention understanding to linguistic abilities and empathy. I argue that mirror neurons are important for very different reasons. Rather than (...)
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  7.  44
    Cognitive Enhancement and Network Effects: How Individual Prosperity Depends on Group Traits.Jonathan Anomaly & Garett Jones - 2020 - Philosophia:1-16.
    A central debate in bioethics is whether parents should try to influence the genetic basis of their children’s traits. We argue that the case for using mate selection, embryo selection, and other interventions to enhance heritable traits like intelligence is strengthened by the fact that they seem to have positive network effects. These network effects include increased cooperation in collective action problems, which contributes to social trust and prosperity. We begin with an overview of evidence for these claims, (...)
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  8. Network Representation and Complex Systems.Charles Rathkopf - 2018 - Synthese (1).
    In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful (...)
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  9. Spontaneous Activity in Default-Mode Network Predicts Ascriptions of Self-Relatedness to Stimuli.Pengmin Qin, Georg Northoff, Timothy Lane & et al - 2016 - Social Cognitive and Affective Neuroscience:xx-yy.
    Spontaneous activity levels prior to stimulus presentation can determine how that stimulus will be perceived. It has also been proposed that such spontaneous activity, particularly in the default-mode network (DMN), is involved in self-related processing. We therefore hypothesised that pre-stimulus activity levels in the DMN predict whether a stimulus is judged as self-related or not. Method: Participants were presented in the MRI scanner with a white noise stimulus that they were instructed contained their name or another. They then had (...)
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  10.  96
    Revising the UMLS Semantic Network.Steffen Schulze-Kremer, Barry Smith & Anand Kumar - 2004 - In MedInfo.
    The integration of standardized biomedical terminologies into a single, unified knowledge representation system has formed a key area of applied informatics research in recent years. The Unified Medical Language System (UMLS) is the most advanced and most prominent effort in this direction, bringing together within its Metathesaurus a large number of distinct source-terminologies. The UMLS Semantic Network, which is designed to support the integration of these source-terminologies, has proved to be a highly successful combination of formal coherence and broad (...)
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  11. Actor Network, Ontic Structural Realism and the Ontological Status of Actants.Corrado Matta - 2014 - Proceedings of the 9th International Conference on Networked Learning 2014.
    In this paper I discuss the ontological status of actants. Actants are argued as being the basic constituting entities of networks in the framework of Actor Network Theory (Latour, 2007). I introduce two problems concerning actants that have been pointed out by Collin (2010). The first problem concerns the explanatory role of actants. According to Collin, actants cannot play the role of explanans of networks and products of the same newtork at the same time, at pain of circularity. The (...)
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  12. A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture.David Pierre Leibovitz - 2013 - Dissertation, Carleton University
    The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact (...)
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  13. Blood Donation Prediction Using Artificial Neural Network.Eman Alajrami, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom & S. S. Abu Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (10):1-7.
    The aim of this research is to study the performance of JustNN environment that have not been previously examined to care of this blood donation problem forecasting. An Artificial Neural Network model was built to understand if performance is considerably enhanced via JustNN tool or not. The inspiration for this study is that blood request is steadily growing day by day due to the need of transfusions of blood because of surgeries, accidents, diseases etc. Accurate forecast of the number (...)
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  14. Natural Language Processing and Semantic Network Visualization for Philosophers.Mark Alfano & Andrew Higgins - forthcoming - In Eugen Fischer & Mark Curtis (eds.), Methodological Advances in Experimental Philosophy. Bloomsbury.
    Progress in philosophy is difficult to achieve because our methods are evidentially and rhetorically weak. In the last two decades, experimental philosophers have begun to employ the methods of the social sciences to address philosophical questions. However, the adequacy of these methods has been called into question by repeated failures of replication. Experimental philosophers need to incorporate more robust methods to achieve a multi-modal perspective. In this chapter, we describe and showcase cutting-edge methods for data-mining and visualization. Big data is (...)
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  15. Asking About Data: Exploring Different Realities of Data Via the Social Data Flow Network Methodology.Brian Ballsun-Stanton - unknown
    What is data? That question is the fundamental investigation of this dissertation. I have developed a methodology from social-scientific processes to explore how different people understand the concept of data, rather than to rely on my own philosophical intuitions or thought experiments about the “nature” of data. The evidence I have gathered as to different individuals' constructions of data can be used to inform further inquiry of data and the design of information systems. My research demonstrates that people have different (...)
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  16. A Study on Tools And Techniques Used For Network Forensic In A Cloud Environment: An Investigation Perspective.Rajeshwar Rao & Siby Samuel - 2014 - Journal of Basic and Applied Engineering Research 1 (8):21-26.
    The modern computer environment has moved past the local data center with a single entry and exit point to a global network comprising many data centers and hundreds of entry and exit points, commonly referred as Cloud Computing, used by all possible devices with numerous entry and exit point for transactions, online processing, request and responses traveling across the network, making the ever complex networks even more complex, making traversing, monitoring and detecting threats over such an environment a (...)
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  17.  64
    Classifying Nuts Types Using Convolutional Neural Network.Ibtesam M. Dheir, Alaa Soliman Abu Mettleq, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):12-18.
    Abstract: Nuts are nutrient-dense foods with complex matrices rich in unsaturated fatty and other bioactive compounds. By virtue of their unique composition, all types of nuts are likely to beneficially impact health outcomes. In this paper, we classified five types of Nuts with a dataset that contains 2868 images. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used for this task. The trained model achieved an accuracy of 98% on a held-out test (...)
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  18. Opening the Black Box of Commodification: A Philosophical Critique of Actor-Network Theory as Critique.Henrik Rude Hvid - manuscript
    This article argues that actor-network theory, as an alternative to critical theory, has lost its critical impetus when examining commodification in healthcare. The paper claims that the reason for this, is the way in which actor-network theory’s anti-essentialist ontology seems to black box 'intentionality' and ethics of human agency as contingent interests. The purpose of this paper was to open the normative black box of commodification, and compare how Marxism, Habermas and ANT can deal with commodification and ethics (...)
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  19. DESIGN AND IMPLEMENTATION OF SENSOR NODE FOR WIRELESS SENSORS NETWORK TO MONITOR HUMIDITY OF HIGH-TECH POLYHOUSE ENVIRONMENT.B. P. Ladgaonkar - 2011 - International Journal of Advances in Engineering and Technology 1 (3):1-11.
    Wireless Sensors Network is a novel field shows tremendous application potential. To monitor the environmental parameters of high-tech polyhouse the Wireless Sensors Network (WSN) is developed. The heart of this ubiquitous field is the Wireless Sensor Node. Moreover, the field of microcontroller based embedded technology is innovative and more reliable. Therefore, based on an embedded technology and the RF module Zigbee a wireless senor node is designed about highly promising AVR ATmega8L microcontroller and implemented for WSN development. Recently, (...)
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  20.  68
    Predicting Books’ Overall Rating Using Artificial Neural Network.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (8):11-17.
    We developed an Artificial Neural Network (ANN) model for predicting the overall rating of books. The prediction is based on some Factors (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which used as input variables and (average_rating) as output for our ANN predictive model. Our model established, trained, and validated using data set, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.90% of the validation instances.
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  21.  53
    Causal Network Accounts Of Ill-Being: Depression & Digital Well-Being.Nick Byrd - forthcoming - In Christopher Burr & Luciano Floridi (eds.), Ethics of Digital Well-being: A Multidisciplinary Approach. Springer Open.
    Depression is a common and devastating instance of ill-being which deserves an account. Moreover, the ill-being of depression is impacted by digital technology: some uses of digital technology increase such ill-being while other uses of digital technology increase well-being. So a good account of ill-being would explicate the antecedents of depressive symptoms and their relief, digitally and otherwise. This paper borrows a causal network account of well-being and applies it to ill-being, particularly depression. Causal networks are found to provide (...)
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  22. How Semantic Memory Structure and Intelligence Contribute to Creative Thought: A Network Science Approach.Mathias Benedek, Yoed N. Kenett, Konstantin Umdasch, David Anaki, Miriam Faust & Aljoscha C. Neubauer - 2017 - Thinking and Reasoning 23 (2):158-183.
    The associative theory of creativity states that creativity is associated with differences in the structure of semantic memory, whereas the executive theory of creativity emphasises the role of top-down control for creative thought. For a powerful test of these accounts, individual semantic memory structure was modelled with a novel method based on semantic relatedness judgements and different criteria for network filtering were compared. The executive account was supported by a correlation between creative ability and broad retrieval ability. The associative (...)
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  23.  61
    Energy Efficiency Prediction Using Artificial Neural Network.Ahmed J. Khalil, Alaa M. Barhoom, Bassem S. Abu-Nasser, Musleh M. Musleh & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (9):1-7.
    Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on (...)
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  24. Precarious Work and its Complicit Network.Chuanfei Chin - 2019 - Journal of Contemporary Asia 49.
    How does precarious work entail social vulnerabilities and moral complicities? Theorists of precarity pose two challenges for analysing labour conditions in Asia. Their first challenge is to distinguish the new kinds of social vulnerability which constitute precarious work. The second is to assign moral responsibility in the social network that produces vulnerability in depoliticised and morally detached ways. In this article, the social and normative dimensions of precarious work are connected through a conceptual investigation into how Singapore allocates responsibility (...)
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  25.  47
    Nature as a Network of Morphological Infocomputational Processes for Cognitive Agents.Gordana Dodig Crnkovic - 2017 - Eur. Phys. J. Special Topics 226 (2):181-195.
    This paper presents a view of nature as a network of infocomputational agents organized in a dynamical hierarchy of levels. It provides a framework for unification of currently disparate understandings of natural, formal, technical, behavioral and social phenomena based on information as a structure, differences in one system that cause the differences in another system, and computation as its dynamics, i.e. physical process of morphological change in the informational structure. We address some of the frequent misunderstandings regarding the natural/morphological (...)
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  26. Cloud Network Security Based on Biometrics Cryptography Intelligent Tutoring System.Jihan Y. Abu Elreesh & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (3):37-70.
    Intelligent Tutoring System (ITS) is becoming more famous through over the world, it impacts the view to appear obviously actually that anybody could teach at any place in whenever. Without the aid of intelligent tutoring system, the learning question's student's response can't be understood in time. Thus, it is important to create an intelligent tutoring system keeping in mind the end goal to give learning support service for students. In this thesis, the thesis presents an Intelligent Tutoring System for Learning (...)
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  27. Australasian Journal of Philosophy 1947–2016: A Retrospective Using Citation and Social Network Analyses.Martin Davies & Angelito Calma - forthcoming - Global Intellectual History.
    In anticipation of the journal’s centenary in 2027 this paper provides a citation network analysis of all available citation and publication data of the Australasian Journal of Philosophy (1923–2017). A total of 2,353 academic articles containing 21,772 references were collated and analyzed. This includes 175 articles that contained author-submitted keywords, 415 publisher-tagged keywords and 519 articles that had abstracts. Results initially focused on finding the most published authors, most cited articles and most cited authors within the journal, followed by (...)
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  28. Knowledge Bases and Neural Network Synthesis.Todd R. Davies - 1991 - In Hozumi Tanaka (ed.), Artificial Intelligence in the Pacific Rim: Proceedings of the Pacific Rim International Conference on Artificial Intelligence. IOS Press. pp. 717-722.
    We describe and try to motivate our project to build systems using both a knowledge based and a neural network approach. These two approaches are used at different stages in the solution of a problem, instead of using knowledge bases exclusively on some problems, and neural nets exclusively on others. The knowledge base (KB) is defined first in a declarative, symbolic language that is easy to use. It is then compiled into an efficient neural network (NN) representation, run, (...)
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  29. Perceptual Learning (Network for Sensory Research/University of York Perceptual Learning Workshop, Question One).Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor - manuscript
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: What is perceptual learning?
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  30. Perceptual Learning and Cognitive Penetration (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Two).Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor - manuscript
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: Can perceptual experience be modified by reason?
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  31. Report on the Network for Sensory Research/University of York Perceptual Learning Workshop.Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor - manuscript
    This report highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York on March 19th and 20th, 2012: 1. What is perceptual learning? 2. Can perceptual experience be modified by reason? 3. How does perceptual learning alter perceptual phenomenology? 4. How does perceptual learning alter the contents of perception? 5. How is perceptual learning coordinated with action?
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  32. The Meaning-Sharing Network.John Haglund & Johan Blomberg - 2010 - Hortues Semioticus 6:17-30.
    We advocate an analysis of meaning that departs from the pragmatic slogan that “meaning is use”. However, in order to avoid common missteps, this claim is in dire need of qualification. We argue that linguistic meaning does not originate from language use as such; therefore we cannot base a theory of meaning only on use. It is important not to neglect the fact that language is ultimately reliant on non-linguistic factors. This might seem to oppose the aforementioned slogan, but it (...)
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  33. Perceptual Learning and Perceptual Content (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Four).Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor - manuscript
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How does perceptual learning alter the contents of perception?
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  34. Perceptual Learning and Perceptual Phenomenology (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Three).Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor - manuscript
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How does perceptual learning alter perceptual phenomenology?
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  35. Perceptual Learning and Action (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Five).Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor - manuscript
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How is perceptual learning coordinated with action?
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  36.  64
    Brain Network Commonality and the General Empirical Method.Anuj Rastogi - 2014 - Dialogues in Philosophy, Mental and Neuro Sciences 7 (2):68-69.
    The Generalized Empirical Method as outlined by Henman initially seems a cogent approach that should be adopted by cognitive neuroscientists. However, some weaknesses in the presumptions of this method in light of modern neuroscience research may challenge its validity. As I am currently working on mapping cerebral-cerebellar networks using fMRI, I am intrigued by the practical utility of the GEM in experimental work.
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  37.  59
    The Social Network of Early English Drama: A Digital Humanities Lesson Plan.Pierce Williams - 2017 - Emerging Learning Design 5:29-31.
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  38. Network Neuroscience Theory of Human Intelligence.K. Barbey Aron - 2018 - Trends in Cognitive Sciences 22 (1):8-20.
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  39. Predicting Titanic Survivors Using Artificial Neural Network.Alaa M. Barhoom, Ahmed J. Khalil, Bassem S. Abu-Nasser, Musleh M. Musleh & Samy S. Abu Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (9):8-12.
    Although the Titanic disaster happened just over one hundred years ago, it still appeals researchers to understand why some passengers survived while others did not. With the use of a machine learning tool (JustNN) and the provided dataset we study which factors or classifications of passengers have a strong relationship with survival for passengers that took that trip on 15th of April, 1912. The analysis seeks to identify characteristics of passengers - cabin class, age, and point of departure – and (...)
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  40. Sentiment Analysis on Online Social Network.Vijaya Abhinandan - forthcoming - International Journal of Computer Science, Information Technology, and Security.
    A large amount of data is maintained in every Social networking sites.The total data constantly gathered on these sites make it difficult for methods like use of field agents, clipping services and ad-hoc research to maintain social media data. This paper discusses the previous research on sentiment analysis.
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  41.  17
    Triển vọng hội nhập quốc tế về khoa học xã hội tại Việt Nam: Phân tích từ dữ liệu Network of Vietnamese Social Sciences 2008-2018.Phạm Hùng Hiệp - 2020 - Tạp Chí Giáo Dục 462 (2):29-35.
    International integration is a mandatory requirement and a dispensible trend for Vietnamese science today. Specifically, when comparing between natural sciences and technology (NS-T) with social sciences (SS), many researchers suggested that SS in Vietnam have a lower level of integration than NS-T. However, according to our understanding, there have not been many statistical studies, estimates and quantitative evaluation of the integration level of Vietnam social science. In this article, using the Network of Vietnamese Social Sciences database developed by AI (...)
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  42. Protein Ontology: A Controlled Structured Network of Protein Entities.A. Natale Darren, N. Arighi Cecilia, A. Blake Judith, J. Bult Carol, R. Christie Karen, Cowart Julie, D’Eustachio Peter, D. Diehl Alexander, J. Drabkin Harold, Helfer Olivia, Barry Smith & Others - 2013 - Nucleic Acids Research 42 (1):D415-21..
    The Protein Ontology (PRO; http://proconsortium.org) formally defines protein entities and explicitly represents their major forms and interrelations. Protein entities represented in PRO corresponding to single amino acid chains are categorized by level of specificity into family, gene, sequence and modification metaclasses, and there is a separate metaclass for protein complexes. All metaclasses also have organism-specific derivatives. PRO complements established sequence databases such as UniProtKB, and interoperates with other biomedical and biological ontologies such as the Gene Ontology (GO). PRO relates to (...)
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  43.  40
    Granger and Science as Network of Models.Sergio Volodia Marcello Cremaschi - 1987 - Manuscrito 10 (2):111-136.
    The discovery of the role of models in science by Granger parallels the analogous discovery made by Mary Hesse and Marx Wartofsky. The role models are granted highlights the linguistic dimension of science, resulting in a 'softening' of Bachelard's rationalistic epistemology without lapsing into relativism. A 'linguistic' theory of metaphor, as contrasted with Bachelard's 'psychological' theory, is basic to Granger's account of models. A final paragraph discusses to what extent Granger's 'mature' theory of models would imply a revision of his (...)
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  44. Space, Time, and Sensory Integration (Network for Sensory Research/Brown University Workshop on Unity of Consciousness, Question 4).Kevin Connolly, Craig French, David M. Gray & Adrienne Prettyman - manuscript
    This is an excerpt of a report that highlights and explores five questions which arose from The Unity of Consciousness and Sensory Integration conference at Brown University in November of 2011. This portion of the report explores the question: Is the mechanism of sensory integration spatio-temporal?
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  45. Multimodal Building Blocks? (Network for Sensory Research/Brown University Workshop on Unity of Consciousness, Question 2).Kevin Connolly, Craig French, David M. Gray & Adrienne Prettyman - manuscript
    This is an excerpt of a report that highlights and explores five questions which arose from The Unity of Consciousness and Sensory Integration conference at Brown University in November of 2011. This portion of the report explores the question: Are some of the basic units of consciousness multimodal?
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  46. Cognitive Penetration? (Network for Sensory Research Toronto Workshop on Perceptual Learning: Question Four).Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez - manuscript
    This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: What counts as cognitive penetration?
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  47. Modeling the Unity of Consciousness (Network for Sensory Research/Brown University Workshop on Unity of Consciousness, Question 3).Kevin Connolly, Craig French, David M. Gray & Adrienne Prettyman - manuscript
    This is an excerpt of a report that highlights and explores five questions which arose from The Unity of Consciousness and Sensory Integration conference at Brown University in November of 2011. This portion of the report explores the question: How should we model the unity of consciousness?
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  48. Recognizing Emotion in Music (Network for Sensory Research Toronto Workshop on Perceptual Learning: Question Six).Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez - manuscript
    This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: How do we recognize distinct types of emotion in music?
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  49. Philosophy/Psychology Collaboration (Network for Sensory Research Toronto Workshop on Perceptual Learning: Question Five).Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez - manuscript
    This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: How can philosophers and psychologists most fruitfully collaborate?
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  50. Report on the Network for Sensory Research Toronto Workshop on Perceptual Learning.Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez - manuscript
    This report highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012: 1. How should we demarcate perceptual learning from perceptual development? 2. What are the origins of multimodal associations? 3. Does our representation of time provide an amodal framework for multi-sensory integration? 4. What counts as cognitive penetration? 5. How can philosophers and psychologists most fruitfully collaborate?
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