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JCS Vol19 No 4 Conference (ICCS 2019) cfp/Cover and Book (LCAM)
by Editorial assistant
J. CS. 2018, 19(4), 0-0;
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Theory and Practice of Lexicographic Definition
by Igor Mel’čuk, Alain Polguère
J. CS. 2018, 19(4), 417-470;
Abstract The paper offers a rigorous characterization of the notion of lexicographicdefinition: a minimal paraphrase formulated in the same language as the worddefined and satisfying six lexicographic principles, which are formulated anddiscussed. The major types of semantic components in a lexicographic def...
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Abstract The paper offers a rigorous characterization of the notion of lexicographicdefinition: a minimal paraphrase formulated in the same language as the worddefined and satisfying six lexicographic principles, which are formulated anddiscussed. The major types of semantic components in a lexicographic definitionare identified and described: firstly, central vs. peripheral components, semanticclassmarking components, presuppositional components, actant-specificationcomponents, weak components, and metaphor-marking components; secondly,conjunctive and disjunctive components. Three additional topics are introduced:the roles that the definition plays in a lexical entry (accounting for the semantic,syntactic and lexically restricted cooccurrence of the headword); lexical unitswhose definition is problematic; lexical connotations and semantic labels. Thoughthe perspective offered on lexicographic definition is theory-oriented – withinthe framework of Explanatory Combinatorial Lexicology (ECL) –, a strongemphasis is put on the writing of actual definitions, a couple dozen of which isproposed and analyzed.Keywords: lexical semantics, lexicographic definition, ExplanatoryCombinatorial Lexicology, lexicographic methodology
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A Brief Review of Studies of Out-of-Body Experiences in both the Healthy and Pathological Populations
by Julia Sellers
J. CS. 2018, 19(4), 471-491;
Abstract This paper presents a brief overview of some of the out-of-body experiences (OBEs) studied in both the healthy and pathological populations, as well as experiences of paranormal phenomena, with features common to OBEs, in the healthy population. Since spontaneous OBEs in the healthy population are r...
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Abstract This paper presents a brief overview of some of the out-of-body experiences (OBEs) studied in both the healthy and pathological populations, as well as experiences of paranormal phenomena, with features common to OBEs, in the healthy population. Since spontaneous OBEs in the healthy population are rare, there is a lack of studies describing possible psychological, as well as physiological, mechanisms driving this type of OBE. Consequently, most OBE research available today describes the semiology, phenomenology, etiology, as well as the neurocognitive features of OBEs within the pathological population, as opposed to the healthy population. Below we present an overview of some of the research aimed at identifying OBEs occurring in both healthy as well as pathological individuals.Keywords: out-of-body experience, temporal parietal junction, brain waves, consciousness, paranormal.
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Concerning the Neuronal Code
by C. von der Malsburg
J. CS. 2018, 19(4), 511-550;
Abstract The central problem with understanding brain and mind is the neural code issue: understanding the matter of our brain as basis for the phenomena of our mind. The richness with which our mind represents our environment, the parsimony of genetic data, the tremendous efficiency with which the brain lea...
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Abstract The central problem with understanding brain and mind is the neural code issue: understanding the matter of our brain as basis for the phenomena of our mind. The richness with which our mind represents our environment, the parsimony of genetic data, the tremendous efficiency with which the brain learns from scant sensory input and the creativity with which our mind constructs mental worlds all speak in favor of mind as an emergent phenomenon. This raises the further issue of how the neural code supports these processes of organization. The central point of this communication is that the neural code has the form of structured net fragments that are formed by network self-organization, activate and de-activate on the functional time scale, and spontaneously combine to form larger nets with the same basic structure.
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Investigation of Functional Brain Connectivity by Electroencephalogram Signals using Data Mining Technique
by Nayereh Eslamieh, Zahra Einalou
J. CS. 2018, 19(4), 551-576;
Abstract Human brain is one of the most complex and the most vital human body organs with different parts of it being interconnected even if these parts are anatomically separate. It is essential to consider the brain function as an integrated system in order to get insight into the complex structure and fun...
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Abstract Human brain is one of the most complex and the most vital human body organs with different parts of it being interconnected even if these parts are anatomically separate. It is essential to consider the brain function as an integrated system in order to get insight into the complex structure and function of the cerebral network as a key concept in neuroscience. The patterns obtained from the function of different brain areas and their processing techniques yield a complete set of information about the available relationship between brain areas and make it possible to analyze the function of the brain system correctly using new modeling tools. In this regard, in the present study, brain function was analyzed in 6 subjects using the picture-naming test (148 images of animals D249 and tools D250) and EEG signal recording method through 256 channels. In this two-session test (with 74 stimuli), 12 signals related to the brain function of these subjects were recorded and analyzed in delta, theta, beta, alpha and non-filter state. Furthermore, the pattern of relationship between the channels and the brain communication network in different areas was calculated and elicited in two modes of D249 and D250 (the test stimuli included animals and tools pictures) using the available tools and calculation methods (correlation coefficient, t-test and association rule mining). The obtained results showed that the frontal and temporal areas had the highest activity in comparison with other areas. The brain behavioral patterns in these subjects were very similar in the three bands of theta, beta and alpha.Keywords: Functional connectivity, EEG, correlation coefficient, association rule mining.
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