Results for 'neural selection'

981 found
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  1. Teleosemantics, selection and novel contents.Justin Garson & David Papineau - 2019 - Biology and Philosophy 34 (3):36.
    Mainstream teleosemantics is the view that mental representation should be understood in terms of biological functions, which, in turn, should be understood in terms of selection processes. One of the traditional criticisms of teleosemantics is the problem of novel contents: how can teleosemantics explain our ability to represent properties that are evolutionarily novel? In response, some have argued that by generalizing the notion of a selection process to include phenomena such as operant conditioning, and the neural (...) that underlies it, we can resolve this problem. Here, we do four things: we develop this suggestion in a rigorous way through a simple example, we draw on recent neurobiological research to support its empirical plausibility, we defend the move from a host of objections in the literature, and we sketch how the picture can be extended to help us think about more complex “conceptual” representations and not just perceptual ones. (shrink)
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  2. Function, selection, and construction in the brain.Justin Garson - 2012 - Synthese 189 (3):451-481.
    A common misunderstanding of the selected effects theory of function is that natural selection operating over an evolutionary time scale is the only functionbestowing process in the natural world. This construal of the selected effects theory conflicts with the existence and ubiquity of neurobiological functions that are evolutionary novel, such as structures underlying reading ability. This conflict has suggested to some that, while the selected effects theory may be relevant to some areas of evolutionary biology, its relevance to neuroscience (...)
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  3. Neural Correlates of Color-Selective Metacontrast in Human Early Retinotopic Areas.Kiyohiro Maeda, Hiroki Yamamoto, Masaki Fukunaga, Masahior Umeda, Chuzo Tanaka & Yoshimichi Ejima - 2010 - Journal of Neurophysiology 104:2291-2301.
    Metacontrast is a visual illusion in which the visibility of a target stimulus is virtually lost when immediately followed by a nonoverlapping mask stimulus. For a colored target, metacontrast is color-selective, with target visibility markedly reduced when the mask and target are the same color, but only slightly reduced when the colors differ. This study investigated neural correlates of color-selective metacontrast for cone-opponent red and green stimuli in the human V1, V2, and V3 using functional magnetic resonance imaging. (...) activity was suppressed when the target was rendered less visible by the same-colored mask, and the suppression was localized in the cortical region retinotopically representing the target, correlating with the perceptual topography of visibility/invisibility rather than the physical topography of the stimulus. Retinotopy-based group analysis found that activity suppression was statistically significant for V2 and V3 and that its localization to the target region was statistically significant for V2. These results suggest that retinotopic color representations in early visual areas, especially in V2, are closely linked to the visibility of color. (shrink)
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  4. The Neural Correlates of Consciousness.Jorge Morales & Hakwan Lau - 2020 - In Uriah Kriegel (ed.), The Oxford Handbook of the Philosophy of Consciousness. Oxford: Oxford University Press. pp. 233-260.
    In this chapter, we discuss a selection of current views of the neural correlates of consciousness (NCC). We focus on the different predictions they make, in particular with respect to the role of prefrontal cortex (PFC) during visual experiences, which is an area of critical interest and some source of contention. Our discussion of these views focuses on the level of functional anatomy, rather than at the neuronal circuitry level. We take this approach because we currently understand more (...)
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  5. The neural representation of subjective cost-benefit judgments.Minh-Hoang Nguyen - 2022 - SM3D Portal.
    Many human decisions and behaviors in daily life entail a cost-benefit analysis. From selecting what to eat for dinner to determining the career to pursue, we more or less assess the cost and benefit of each choice. Given the frequent occurrences of cost-benefit thinking in our minds, some intriguing questions arise: how do the cost-benefit thinking processes emerge? How does the brain function to generate such thoughts? Although these inquiries have yet to be thoroughly answered, scientists are adding new clues (...)
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  6. Networks of Gene Regulation, Neural Development and the Evolution of General Capabilities, Such as Human Empathy.Alfred Gierer - 1998 - Zeitschrift Für Naturforschung C - A Journal of Bioscience 53:716-722.
    A network of gene regulation organized in a hierarchical and combinatorial manner is crucially involved in the development of the neural network, and has to be considered one of the main substrates of genetic change in its evolution. Though qualitative features may emerge by way of the accumulation of rather unspecific quantitative changes, it is reasonable to assume that at least in some cases specific combinations of regulatory parts of the genome initiated new directions of evolution, leading to novel (...)
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  7. Attention Is Amplification, Not Selection.Peter Fazekas & Bence Nanay - 2021 - British Journal for the Philosophy of Science 72 (1):299-324.
    We argue that recent empirical findings and theoretical models shed new light on the nature of attention. According to the resulting amplification view, attentional phenomena can be unified at the neural level as the consequence of the amplification of certain input signals of attention-independent perceptual computations. This way of identifying the core realizer of attention evades standard criticisms often raised against sub-personal accounts of attention. Moreover, this approach also reframes our thinking about the function of attention by shifting the (...)
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  8. Multivariate pattern analysis and the search for neural representations.Bryce Gessell, Benjamin Geib & Felipe De Brigard - 2021 - Synthese 199 (5-6):12869-12889.
    Multivariate pattern analysis, or MVPA, has become one of the most popular analytic methods in cognitive neuroscience. Since its inception, MVPA has been heralded as offering much more than regular univariate analyses, for—we are told—it not only can tell us which brain regions are engaged while processing particular stimuli, but also which patterns of neural activity represent the categories the stimuli are selected from. We disagree, and in the current paper we offer four conceptual challenges to the use of (...)
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  9.  51
    Preliminary evidence for selective cortical responses to music in one‐month‐old infants.Heather Kosakowski, Samuel Norman-Haignere, Anna Mynick, Atsushi Takahashi, Rebecca Saxe & Nancy Kanwisher - 2023 - Developmental Science 26 (5):e13387.
    Prior studies have observed selective neural responses in the adult human auditory cortex to music and speech that cannot be explained by the differing lower-level acoustic properties of these stimuli. Does infant cortex exhibit similarly selective responses to music and speech shortly after birth? To answer this question, we attempted to collect functional magnetic resonance imaging (fMRI) data from 45 sleeping infants (2.0- to 11.9-weeks-old) while they listened to monophonic instrumental lullabies and infant-directed speech produced by a mother. To (...)
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  10.  87
    Pre-Determinant Cognition in Neural Networks.Marcus Verhaegh - 2009 - Communication and Cognition. Monographies 42 (3-4):133-153.
    Using Kantian starting points, we develop a notion of ‘pre-determinant intentionality,’ which refers to the intentionality of judgments that support objective truth-claims. We show how the weight-selections of neural networks can be taken to involve this form of intentionality. We argue that viewing weight selection or ‘internodal and meta-internodal selection’ as involving pre-determinant intentionality allows us to better conceptualize the coordination of computational systems. In particular, it allows us to better conceptualize the coordination of computational activity concerned (...)
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  11. Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map.Birgitta Dresp-Langley - 2021 - Symmetry 13:299.
    Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. (...)
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  12. Predicting the Number of Calories in a Dish Using Just Neural Network.Sulafa Yhaya Abu Qamar, Shahed Nahed Alajjouri, Shurooq Hesham Abu Okal & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):1-9.
    Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...)
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  13. Self-blame-Selective Hyperconnectivity Between Anterior Temporal and Subgenual Cortices and Prediction of Recurrent Depressive Episodes.Karen Lythe, Jorge Moll, Jennifer Gethin, Clifford Ian Workman, Sophie Green, Matthew Lambon Ralph, J. F. William Deakin & Roland Zahn - 2015 - JAMA Psychiatry 72 (11):1119-1126.
    Importance: Patients with remitted major depressive disorder (MDD) were previously found to display abnormal functional magnetic resonance imaging connectivity (fMRI) between the right superior anterior temporal lobe (RSATL) and the subgenual cingulate cortex and adjacent septal region (SCSR) when experiencing self-blaming emotions relative to emotions related to blaming others (eg, "indignation or anger toward others"). This finding provided the first neural signature of biases toward overgeneralized self-blaming emotions (eg, "feeling guilty for everything"), known to have a key role in (...)
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  14.  34
    Examination of Anomaly Process Detection Using Negative Selection Algorithm and Classification Techniques.Sharma Sakshi - 2020 - International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (Ijareeie) 9 (6):2526-2534.
    The examination of anomaly process detection using negative selection algorithms and classification techniques focuses on enhancing the ability to identify deviations from expected patterns within complex data sets. Negative selection algorithms, inspired by biological immune systems, offer a novel approach to anomaly detection by efficiently distinguishing between normal and anomalous data points. When combined with various classification techniques, these algorithms can improve the accuracy and robustness of anomaly detection systems. This abstract explores the integration of negative selection (...)
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  15. SAR-BSO meta-heuristic hybridization for feature selection and classification using DBNover stream data.Dharani Talapula, Kiran Ravulakollu, Manoj Kumar & Adarsh Kumar - forthcoming - Artificial Intelligence Review.
    Advancements in cloud technologies have increased the infrastructural needs of data centers due to storage needs and processing of extensive dimensional data. Many service providers envisage anomaly detection criteria to guarantee availability to avoid breakdowns and complexities caused due to large-scale operations. The streaming log data generated is associated with multi-dimensional complexity and thus poses a considerable challenge to detect the anomalies or unusual occurrences in the data. In this research, a hybrid model is proposed that is motivated by deep (...)
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  16. Schizophrenia and the Dysfunctional Brain.Justin Garson - 2010 - Journal of Cognitive Science 11:215-246.
    Scientists, philosophers, and even the lay public commonly accept that schizophrenia stems from a biological or internal ‘dysfunction.’ However, this assessment is typically accompanied neither by well-defined criteria for determining that something is dysfunctional nor empirical evidence that schizophrenia satisfies those criteria. In the following, a concept of biological function is developed and applied to a neurobiological model of schizophrenia. It concludes that current evidence does not warrant the claim that schizophrenia stems from a biological dysfunction, and, in fact, that (...)
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  17. From Biological Synapses to "Intelligent" Robots.Birgitta Dresp-Langley - 2022 - Electronics 11:1-28.
    This selective review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is discussed as a functionally relevant model for machine learning and intelligence, as explained on the basis of examples from the highly plastic biological neural networks of invertebrates and vertebrates. Its potential for adaptive learning and control without supervision, the generation of functional complexity, and control architectures based on self-organization is brought forward. Learning (...)
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  18. RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.M. Arul Selvan & S. Miruna Joe Amali - 2024 - Journal of Science Technology and Research 5 (1):37-42.
    Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. In (...)
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  19. ANN for English Alphabet Prediction.Hamza H. Heriz, Sharief M. Salah, Mohammad Abu Abdu & Qassas Randa - 2016 - International Journal of Academic Pedagogical Research (IJAPR) 11 (2):8-13.
    Abstract: In this paper an Artificial Neural Network (ANN) model, for predicting the Letters from twenty dissimilar fonts for each letter. The character images were, initially, based on twenty dissimilar fonts and each letter inside these twenty fonts was arbitrarily distorted to yield a file of 20,000 distinctive stimuli. Every stimulus was transformed into 16 simple numerical attributes (arithmetical moments and edge amounts) which were then ascended to be suitable into a range of numeral values from 0 to 15. (...)
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  20. Hypotheses that attribute false beliefs: A two‐part epistemology.William Roche & Elliott Sober - 2020 - Mind and Language 36 (5):664-682.
    Is there some general reason to expect organisms that have beliefs to have false beliefs? And after you observe that an organism occasionally occupies a given neural state that you think encodes a perceptual belief, how do you evaluate hypotheses about the semantic content that that state has, where some of those hypotheses attribute beliefs that are sometimes false while others attribute beliefs that are always true? To address the first of these questions, we discuss evolution by natural (...) and show how organisms that are risk-prone in the beliefs they form can be fitter than organisms that are risk-free. To address the second question, we discuss a problem that is widely recognized in statistics – the problem of over-fitting – and one influential device for addressing that problem, the Akaike Information Criterion (AIC). We then use AIC to solve epistemological versions of the disjunction and distality problems, which are two key problems concerning what it is for a belief state to have one semantic content rather than another. (shrink)
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  21. Spatial facilitation by color and luminance edges: boundary, surface, and attentional factors.Birgitta Dresp & Stephen Grossberg - 1995 - Vision Research 39 (20):3431-3443.
    The thresholds of human observers detecting line targets improve significantly when the targets are presented in a spatial context of collinear inducing stimuli. This phenomenon is referred to as spatial facilitation, and may reflect the output of long-range interactions between cortical feature detectors. Spatial facilitation has thus far been observed with luminance-defined, achromatic stimuli on achromatic backgrounds. This study compares spatial facilitation with line targets and collinear, edge-like inducers defined by luminance contrast to spatial facilitation with targets and inducers defined (...)
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  22. Enactivism and the New Teleology: Reconciling the Warring Camps.Ralph D. Ellis - 2014 - Avant: Trends in Interdisciplinary Studies (2):173-198.
    Enactivism has the potential to provide a sense of teleology in purpose-directed action, but without violating the principles of efficient causation. Action can be distinguished from mere reaction by virtue of the fact that some systems are self-organizing. Self-organization in the brain is reflected in neural plasticity, and also in the primacy of motivational processes that initiate the release of neurotransmitters necessary for mental and conscious functions, and which guide selective attention processes. But in order to flesh out the (...)
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  23. The science of art: A neurological theory of aesthetic experience.Vilayanur Ramachandran & William Hirstein - 1999 - Journal of Consciousness Studies 6 (6-7):15-41.
    We present a theory of human artistic experience and the neural mechanisms that mediate it. Any theory of art has to ideally have three components. The logic of art: whether there are universal rules or principles; The evolutionary rationale: why did these rules evolve and why do they have the form that they do; What is the brain circuitry involved? Our paper begins with a quest for artistic universals and proposes a list of ‘Eight laws of artistic experience’ -- (...)
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  24. HOTT and Heavy: Higher-Order Thought Theory and the Theory-Heavy Approach to Animal Consciousness.Jacob Berger & Myrto Mylopoulos - 2024 - Synthese 203 (98):1-21.
    According to what Birch (2022) calls the theory-heavy approach to investigating nonhuman-animal consciousness, we select one of the well-developed theories of consciousness currently debated within contemporary cognitive science and investigate whether animals exhibit the neural structures or cognitive abilities posited by that theory as sufficient for consciousness. Birch argues, however, that this approach is in general problematic because it faces what he dubs the dilemma of demandingness—roughly, that we cannot use theories that are based on the human case to (...)
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  25. The trans-species core SELF: the emergence of active cultural and neuro-ecological agents through self-related processing within subcortical-cortical midline networks.Jaak Panksepp & Georg Northoff - 2009 - Consciousness and Cognition 18 (1):193–215.
    The nature of “the self” has been one of the central problems in philosophy and more recently in neuroscience. This raises various questions: Can we attribute a self to animals? Do animals and humans share certain aspects of their core selves, yielding a trans-species concept of self? What are the neural processes that underlie a possible trans-species concept of self? What are the developmental aspects and do they result in various levels of self-representation? Drawing on recent literature from both (...)
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  26. Solution to the Mind-Body Relation Problem: Information.Florin Gaiseanu - 2021 - Philosophy Study 11 (1):42-55.
    In this paper it is analyzed from the informational perspective the relation between mind and body, an ancient philosophic issue defined as a problem, which still did not receive up to date an adequate solution. By introducing/using the concept of information, it is shown that this concept includes two facets, one of them referring to the common communications and another one referring to a hidden/structuring matter-related information, effectively acting in the human body and in the living systems, which determines the (...)
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  27. Innovative Approaches in Cardiovascular Disease Prediction Through Machine Learning Optimization.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized (...)
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  28. Quantum propensities in the brain cortex and free will.Danko D. Georgiev - 2021 - Biosystems 208:104474.
    Capacity of conscious agents to perform genuine choices among future alternatives is a prerequisite for moral responsibility. Determinism that pervades classical physics, however, forbids free will, undermines the foundations of ethics, and precludes meaningful quantification of personal biases. To resolve that impasse, we utilize the characteristic indeterminism of quantum physics and derive a quantitative measure for the amount of free will manifested by the brain cortical network. The interaction between the central nervous system and the surrounding environment is shown to (...)
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  29. The Nature and Implementation of Representation in Biological Systems.Mike Collins - 2009 - Dissertation, City University of New York
    I defend a theory of mental representation that satisfies naturalistic constraints. Briefly, we begin by distinguishing (i) what makes something a representation from (ii) given that a thing is a representation, what determines what it represents. Representations are states of biological organisms, so we should expect a unified theoretical framework for explaining both what it is to be a representation as well as what it is to be a heart or a kidney. I follow Millikan in explaining (i) in terms (...)
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  30. There and Up Again: On the Uses and Misuses of Neuroimaging in Psychology.Guillermo Del Pinal & Marco J. Nathan - 2013 - Cognitive Neuropsychology 30 (4):233-252.
    The aim of this article is to discuss the conditions under which functional neuroimaging can contribute to the study of higher cognition. We begin by presenting two case studies—on moral and economic decision making—which will help us identify and examine one of the main ways in which neuroimaging can help advance the study of higher cognition. We agree with critics that functional magnetic resonance imaging (fMRI) studies seldom “refine” or “confirm” particular psychological hypotheses, or even provide details of the (...) implementation of cognitive functions. However, we suggest that neuroimaging can support psychology in a different way—namely, by selecting among competing hypotheses of the cognitive mechanisms underlying some mental function. One of the main ways in which neuroimaging can be used for hypothesis selection is via reverse inferences, which we here examine in detail. Despite frequent claims to the contrary, we argue that successful reverse inferences do not assume any strong or objectionable form of reductionism or functional locationism. Moreover, our discussion illustrates that reverse inferences can be successful at early stages of psychological theorizing, when models of the cognitive mechanisms are only partially developed. (shrink)
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  31. On the probabilistic character of irreducible mental causation.Dejan R. Dimitrijević - 2024 - Synthese 203 (6):1-27.
    It has recently been remarked that the argument for physicalism from the causal closure of the physical is incomplete. It is only effective against mental causation manifested in the action of putative mental forces that lead to acceleration of particles in the nervous system. Based on consideration of anomalous, physically unaccounted-for correlations of neural events, I argue that irreducible mental causation whose nature is at least prima facie probabilistic is conceivable. The manifestation of such causation should be accompanied by (...)
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  32. New norms for teleosemantics.Timothy Schroeder - 2004 - In Hugh Clapin (ed.), Representation in Mind: New Approaches to Mental Representation. Elsevier. pp. 1--91.
    Teleosemantics has a problem: it holds that to have a mind one must have a history, often a long evolutionary history. The solution to the problem is for teleosemanticists to give up on natural selection as the source of natural norms (functions) for neural structures, and to find a different source of natural norms which is not essentially history-involving. Such a source in fact exists, in cybernetic governance. This paper argues for the existence of natural norms derived from (...)
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  33. On a Possible Basis for Metaphysical Self-development in Natural and Artificial Systems.Jeffrey White - 2022 - Filozofia i Nauka. Studia Filozoficzne I Interdyscyplinarne 10:71-100.
    Recent research into the nature of self in artificial and biological systems raises interest in a uniquely determining immutable sense of self, a “metaphysical ‘I’” associated with inviolable personal values and moral convictions that remain constant in the face of environmental change, distinguished from an object “me” that changes with its environment. Complementary research portrays processes associated with self as multimodal routines selectively enacted on the basis of contextual cues informing predictive self or world models, with the notion of the (...)
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  34. (1 other version)Moral & Intellectual Life of the West.Hermann G. W. Burchard - 2021 - Philosophy Study 11 (2).
    From the earliest times, American ethics, the rules for the moral \& intellectual life of the West, used to be founded upon the two principles of self-reliance and good neighborliness. Here we consider the underlying functions of neural brain circuits, organic structures that have evolved adaptively by Darwinian rules subject to selection pressure. In the left brain resides our self-reliant private Ego, making plans, launching initiatives. Your public Ego dwells in the right brain, looking around, meeting with your (...)
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  35. Human reasoning and cognitive science.Keith Stenning & Michiel van Lambalgen - 2008 - Boston, USA: MIT Press.
    In the late summer of 1998, the authors, a cognitive scientist and a logician, started talking about the relevance of modern mathematical logic to the study of human reasoning, and we have been talking ever since. This book is an interim report of that conversation. It argues that results such as those on the Wason selection task, purportedly showing the irrelevance of formal logic to actual human reasoning, have been widely misinterpreted, mainly because the picture of logic current in (...)
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  36.  67
    Drug Recommendation System in Medical Emergencies using Machine Learning.S. Venkatesh - 2025 - Journal of Science Technology and Research (JSTAR) 6 (1):1-21.
    In critical medical emergencies, timely and accurate drug recommendation is essential for saving lives and reducing complications. This project proposes a Drug Recommendation System utilizing Machine Learning (ML) techniques to assist healthcare professionals in making quick and accurate drug selections based on patient symptoms, medical history, and emergency condition. The system integrates data from diverse medical databases, including symptoms, diseases, patient demographics, and prior medical records, to recommend the most appropriate drugs or treatments in real-time. The ML model is trained (...)
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  37. Computational capacity of pyramidal neurons in the cerebral cortex.Danko D. Georgiev, Stefan K. Kolev, Eliahu Cohen & James F. Glazebrook - 2020 - Brain Research 1748:147069.
    The electric activities of cortical pyramidal neurons are supported by structurally stable, morphologically complex axo-dendritic trees. Anatomical differences between axons and dendrites in regard to their length or caliber reflect the underlying functional specializations, for input or output of neural information, respectively. For a proper assessment of the computational capacity of pyramidal neurons, we have analyzed an extensive dataset of three-dimensional digital reconstructions from the NeuroMorphoOrg database, and quantified basic dendritic or axonal morphometric measures in different regions and layers (...)
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  38. Efficient Cloud-Enabled Cardiovascular Disease Risk Prediction and Management through Optimized Machine Learning.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):454-475.
    The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random Forest, Support (...)
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  39. Nghiên cứu ứng dụng phân tích dữ liệu trong quản trị rủi ro tài chính tại các công ty niêm yết trên sàn chứng khoán Việt Nam.Nguyễn Thị Thanh Loan, Nguyễn Ngọc Hân, Nguyễn Thị Khánh Cúc, Nguyễn Đình Đạt, Nguyễn Như Quỳnh & Trương Văn Trọng - 2024 - Kinh Tế Và Dự Báo.
    Bài viết xác định các yếu tố có tác động lớn tới rủi ro tài chính tại các doanh nghiệp sản xuất niêm yết trên sàn chứng khoán Việt Nam dựa trên phương pháp chọn biến LASSO và xây dựng mô hình học máy dự báo rủi ro tài chính. Kết quả nghiên cứu cho thấy, mô hình LASSO đã xác định 5 chỉ số tài chính ảnh hưởng đến rủi ro tài chính mà các doanh nghiệp rủi ro gặp (...)
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  40. Information Based Hierarchical Brain Organization/Evolution from the Perspective of the Informational Model of Consciousness.Florin Gaiseanu - 2020 - Archives in Neurology and Neuroscience 7 (5):1-9.
    Introduction: This article discusses the brain hierarchical organization/evolution as a consequence of the information-induced brain development, from the perspective of the Informational Model of Consciousness. Analysis: In the frame of the Informational Model of Consciousness, a detailed info-neural analysis ispresented, concerning the specific properties/functions of the informational system of the human body composed by the Center of Acquisition and Storing of Information, Center of Decision and Command, Info-Emotional Center, Maintenance Informational System, Genetic Transmission System, Info Genetic Generator and Info- (...)
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  41.  78
    Optimized Cloud Computing Solutions for Cardiovascular Disease Prediction Using Advanced Machine Learning.Kannan K. S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):465-480.
    The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random Forest, Support (...)
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  42. The Triggering Track-ways Theory.Kim Shaw-Williams - 2011 - Dissertation, Victoria University of Wellington
    In this thesis I present a new paradigm in human evolutionary theory: the relevance of track-ways reading (TWR) to the evolution of human cognition, culture and communication. Evidence is presented that strongly indicates hominins were exploiting conspecific track-ways 4 million years ago. For a non-olfactory ape that was a specialized forager in open, featureless wetland environments, they were the only viable natural signs to exploit for safety, orienteering, and recognizable social markers. Due to the unique cognitive demands of reading track-ways, (...)
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  43.  44
    Nature of Consciousness in relation to my Universal Formula.Angelito Malicse - manuscript
    Nature of Consciousness in relation to my Universal Formula -/- By : Angelito Enriquez Malicse -/- The functioning of consciousness is a complex and debated topic that spans neuroscience, philosophy, and psychology. While there is no universally agreed-upon explanation, several frameworks attempt to describe how consciousness functions. Here are key aspects: -/- 1. Perception and Awareness -/- Consciousness allows us to be aware of our environment and ourselves. -/- Sensory Input: Consciousness integrates information from our senses (sight, sound, touch, etc.) (...)
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  44. (1 other version)The Most Optimal Dual-Aspect-Dual-Mode Framework for Consciousness: Recent Developments.Ram Lakhan Pandey Vimal - 2009 - Chromatikon 5:295-307.
    In the third Whitehead Psychology Nexus Studies, we have discussed (i) the dual-aspect-dual-mode proto-experience (PE)-subjective experience (SE)framework of consciousness based on neuroscience, (ii) its implication in war, suffering, peace, and happiness, (iii) the process of sublimation for optimizingthem and converting the negative aspects of seven groups of self-protective energy system (desire, anger, ego, greed, attachment, jealousy, and selfishlove)into their positive aspects from both western and eastern perspectives (Vimal, 2009b). In this article, we summarize the recent development since then as follows. (...)
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  45. OPTIMIZED CARDIOVASCULAR DISEASE PREDICTION USING MACHINE LEARNING ALGORITHMS.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized (...)
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  46. Dual Aspect Framework for Consciousness and Its Implications: West meets East.Ram Lakhan Pandey Vimal - 2009 - In George Derfer, Zhihe Wang & Michel Weber (eds.), The Roar of Awakening: A Whiteheadian Dialogue Between Western Psychotherapies and Eastern Worldviews. Ontos Verlag. pp. 39.
    The extended dual-aspect monism framework of consciousness, based on neuroscience, consists of five components: (1) dual-aspect primal entities; (2) neural-Darwinism: co-evolution and co-development of subjective experiences (SEs) and associated neural-nets from the mental aspect (that carries the SEs/proto-experiences (PEs) in superposed and unexpressed form) and the material aspect (mass, charge, spin and space-time) of fundamental entities (elementary particles), respectively and co-tuning via sensorimotor interaction; (3) matching and selection processes: interaction of two modes, namely, (a) the non-tilde mode (...)
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  47.  19
    Transference of Memories: A Harmonic Time Perspective.Frances McCloskey - unknown
    Transference of Memories: A Harmonic Time Perspective Introduction This paper explores the fascinating potential connection between my Harmonic Time theory and neural harmonics. My Harmonic Time theory proposes that harmonic oscillations underlie the fundamental nature of time, while neural harmonics refer to the harmonic patterns of neural activity in the brain. Linking these two concepts could provide a physical basis for my Harmonic Time theory, offer new insights into consciousness, and inspire innovative research directions in neuroscience, psychology, (...)
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  48. 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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  49. Fisiologia do Ciclo Estral dos Animais Domésticos.Emanuel Isaque Cordeiro da Silva -
    FISIOLOGIA DO CICLO ESTRAL DOS ANIMAIS -/- Departamento de Zootecnia – UFRPE Embrapa Semiárido e IPA -/- • _____OBJETIVO -/- O cio ou estro é a fase reprodutiva dos animais, onde as fêmeas apresentam receptividade sexual seguida de ovulação. Para tanto, é necessário entender a fisiologia do estro para a realização do manejo reprodutivo dos animais. Em geral, as fêmeas manifestam comportamentos fora do comum quando estão ciclando, tais comportamentos devem ser observados para que não percam o pico de ovulação (...)
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  50. Comportamento Sexual dos Animais Domésticos.Emanuel Isaque Cordeiro Da Silva -
    COMPORTAMENTO SEXUAL DOS ANIMAIS OBJETIVO O estudante explicará a conduta sexual de fêmeas e machos de diferentes espécies domésticas para detectar a fase de receptividade sexual, com a finalidade de programar de maneira adequada a monta ou a inseminação artificial. A observação da conduta sexual dos animais é indispensável para o sucesso da estação reprodutiva em uma determinada propriedade. Logo, o estudante obterá o alicerce necessário sobre os pontos teóricos e práticos a serem observados para a seleção dos animais aptos (...)
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