Results for 'Neuralized'

1000+ found
Order:
  1.  20
    Cell Polarity and Notch Signaling: Linked by the E3 Ubiquitin Ligase Neuralized?Gantas Perez-Mockus & Francois Schweisguth - 2017 - Bioessays 39 (11):1700128.
    Notch is a mechanosensitive receptor that requires direct cell–cell contact for its activation. Both the strength and the range of notch signaling depend on the size and geometry of the contact sites between cells. These properties of cell–cell contacts in turn depend on cell shape and polarity. At the molecular level, the E3 ubiquitin ligase Neuralized links receptor activation with epithelial cell remodeling. Neur regulates the endocytosis of the Notch ligand Delta, hence Notch activation. It also targets the apical (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  2.  14
    Cell Polarity and Notch Signaling: Linked by the E3 Ubiquitin Ligase Neuralized?Gantas Perez-Mockus & Francois Schweisguth - 2017 - Bioessays 39 (11):1700128.
    Notch is a mechanosensitive receptor that requires direct cell–cell contact for its activation. Both the strength and the range of notch signaling depend on the size and geometry of the contact sites between cells. These properties of cell–cell contacts in turn depend on cell shape and polarity. At the molecular level, the E3 ubiquitin ligase Neuralized links receptor activation with epithelial cell remodeling. Neur regulates the endocytosis of the Notch ligand Delta, hence Notch activation. It also targets the apical (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  3.  6
    Review: Philosophy Neuralized[REVIEW]John Bickle - 1993 - Behavior and Philosophy 20 (2):75 - 88.
  4. Artificial Neural Network for Forecasting Car Mileage per Gallon in the City.Mohsen Afana, Jomana Ahmed, Bayan Harb, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 124:51-59.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...)
    Direct download  
     
    Export citation  
     
    Bookmark   28 citations  
  5. 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 about experimental (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  6. Neural Organoids and the Precautionary Principle.Jonathan Birch & Heather Browning - 2021 - American Journal of Bioethics 21 (1):56-58.
    Human neural organoid research is advancing rapidly. As Greely notes in the target article, this progress presents an “onrushing ethical dilemma.” We can’t rule out the possibility that suff...
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   18 citations  
  7. Two neural correlates of consciousness.Ned Block - 2005 - Trends in Cognitive Sciences 9 (2):46-52.
    Neuroscientists continue to search for 'the' neural correlate of consciousness (NCC). In this article, I argue that a framework in which there are at least two distinct NCCs is increasingly making more sense of empirical results than one in which there is a single NCC. I outline the distinction between phenomenal NCC and access NCC, and show how they can be distinguished by experimental approaches, in particular signal- detection theory approaches. Recent findings in cognitive neuroscience provide an empirical case for (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   85 citations  
  8. Some Neural Networks Compute, Others Don't.Gualtiero Piccinini - 2008 - Neural Networks 21 (2-3):311-321.
    I address whether neural networks perform computations in the sense of computability theory and computer science. I explicate and defend
    the following theses. (1) Many neural networks compute—they perform computations. (2) Some neural networks compute in a classical way.
    Ordinary digital computers, which are very large networks of logic gates, belong in this class of neural networks. (3) Other neural networks
    compute in a non-classical way. (4) Yet other neural networks do not perform computations. Brains may well fall into this last class.
     
    Export citation  
     
    Bookmark   18 citations  
  9. Neural darwinism and consciousness.Anil K. Seth & Bernard J. Baars - 2005 - Consciousness and Cognition 14 (1):140-168.
    Neural Darwinism (ND) is a large scale selectionist theory of brain development and function that has been hypothesized to relate to consciousness. According to ND, consciousness is entailed by reentrant interactions among neuronal populations in the thalamocortical system (the ‘dynamic core’). These interactions, which permit high-order discriminations among possible core states, confer selective advantages on organisms possessing them by linking current perceptual events to a past history of value-dependent learning. Here, we assess the consistency of ND with 16 widely recognized (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   16 citations  
  10. The Neural Substrates of Conscious Perception without Performance Confounds.Jorge Morales, Brian Odegaard & Brian Maniscalco - forthcoming - In Felipe De Brigard & Walter Sinnott-Armstrong (eds.), Anthology of Neuroscience and Philosophy.
    To find the neural substrates of consciousness, researchers compare subjects’ neural activity when they are aware of stimuli against neural activity when they are not aware. Ideally, to guarantee that the neural substrates of consciousness—and nothing but the neural substrates of consciousness—are isolated, the only difference between these two contrast conditions should be conscious awareness. Nevertheless, in practice, it is quite challenging to eliminate confounds and irrelevant differences between conscious and unconscious conditions. In particular, there is an often-neglected confound that (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  11. Diabetes Prediction Using Artificial Neural Network.Nesreen Samer El_Jerjawi & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 121:54-64.
    Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to (...)
    Direct download  
     
    Export citation  
     
    Bookmark   25 citations  
  12. Identifying neural correlates of consciousness: The state space approach.Juergen Fell - 2004 - Consciousness and Cognition 13 (4):709-29.
    This article sketches an idealized strategy for the identification of neural correlates of consciousness. The proposed strategy is based on a state space approach originating from the analysis of dynamical systems. The article then focuses on one constituent of consciousness, phenomenal awareness. Several rudimentary requirements for the identification of neural correlates of phenomenal awareness are suggested. These requirements are related to empirical data on selective attention, on completely intrinsic selection and on globally unconscious states. As an example, neuroscientific findings on (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   12 citations  
  13. Glass Classification Using Artificial Neural Network.Mohmmad Jamal El-Khatib, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (23):25-31.
    As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...)
    Direct download  
     
    Export citation  
     
    Bookmark   28 citations  
  14. The neural basis of cognitive development: A constructivist manifesto.Steven R. Quartz & Terrence J. Sejnowski - 1997 - Behavioral and Brain Sciences 20 (4):537-556.
    How do minds emerge from developing brains? According to the representational features of cortex are built from the dynamic interaction between neural growth mechanisms and environmentally derived neural activity. Contrary to popular selectionist models that emphasize regressive mechanisms, the neurobiological evidence suggests that this growth is a progressive increase in the representational properties of cortex. The interaction between the environment and neural growth results in a flexible type of learning: minimizes the need for prespecification in accordance with recent neurobiological evidence (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   103 citations  
  15. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
    Direct download  
     
    Export citation  
     
    Bookmark   21 citations  
  16. What is a neural correlate of consciousness?David J. Chalmers - 2000 - In Thomas Metzinger (ed.), Neural Correlates of Consciousness. MIT Press. pp. 17--39.
    The search for neural correlates of consciousness (or NCCs) is arguably the cornerstone in the recent resurgence of the science of consciousness. The search poses many difficult empirical problems, but it seems to be tractable in principle, and some ingenious studies in recent years have led to considerable progress. A number of proposals have been put forward concerning the nature and location of neural correlates of consciousness. A few of these include.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   125 citations  
  17. Neural Mechanisms for Access to Consciousness.Stanislas Dehaene & Jean-Pierre Changeux - 1995 - In Michael S. Gazzaniga (ed.), The Cognitive Neurosciences. MIT Press. pp. 1145-1157.
  18.  57
    Neural geographies: feminism and the microstructure of cognition.Elizabeth Ann Wilson - 1998 - New York: Routledge.
    Neural Geographies draws together recent feminist and deconstructive theories, early Freudian neurology and contemporary connectionist theories of cognition. In this original work, Elizabeth A. Wilson explores the convergence between Derrida, Freud and recent cognitive theory to pursue two important issues: the nature of cognition and neurology, and the politics of feminist and critical interventions into contemporary scientific psychology. This book seeks to reorient the usual presumptions of critical studies of the sciences by addressing the divisions between the static and the (...)
    Direct download  
     
    Export citation  
     
    Bookmark   24 citations  
  19. Neural Correlates of Consciousness: Empirical and Conceptual Questions.Thomas Metzinger - 2000 - MIT Press. Edited by Thomas Metzinger.
  20. The neural and cognitive mechanisms of knowledge attribution: An EEG study.Adam Michael Bricker - 2020 - Cognition 203 (C):104412.
    Despite the ubiquity of knowledge attribution in human social cognition, its associated neural and cognitive mechanisms are poorly documented. A wealth of converging evidence in cognitive neuroscience has identified independent perspective-taking and inhibitory processes for belief attribution, but the extent to which these processes are shared by knowledge attribution isn't presently understood. Here, we present the findings of an EEG study designed to directly address this shortcoming. These findings suggest that belief attribution is not a component process in knowledge attribution, (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   11 citations  
  21. Neural Computation and the Computational Theory of Cognition.Gualtiero Piccinini & Sonya Bahar - 2013 - Cognitive Science 37 (3):453-488.
    We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. Analog computation requires continuous (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   62 citations  
  22. Neural plasticity and consciousness.Susan Hurley & Alva Noë - 2003 - Biology and Philosophy 18 (1):131-168.
    and apply it to various examples of neural plasticity in which input is rerouted intermodally or intramodally to nonstandard cortical targets. In some cases but not others, cortical activity ‘defers’ to the nonstandard sources of input. We ask why, consider some possible explanations, and propose a dynamic sensorimotor hypothesis. We believe that this distinction is important and worthy of further study, both philosophical and empirical, whether or not our hypothesis turns out to be correct. In particular, the question of how (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   109 citations  
  23. Neural representations not needed - no more pleas, please.Daniel D. Hutto & Erik Myin - 2014 - Phenomenology and the Cognitive Sciences 13 (2):241-256.
    Colombo (Phenomenology and the Cognitive Sciences, 2012) argues that we have compelling reasons to posit neural representations because doing so yields unique explanatory purchase in central cases of social norm compliance. We aim to show that there is no positive substance to Colombo’s plea—nothing that ought to move us to endorse representationalism in this domain, on any level. We point out that exposing the vices of the phenomenological arguments against representationalism does not, on its own, advance the case for representationalism (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   15 citations  
  24. The neural basis of predicate-argument structure.James R. Hurford - 2003 - Behavioral and Brain Sciences 26 (3):261-283.
    Neural correlates exist for a basic component of logical formulae, PREDICATE(x). Vision and audition research in primates and humans shows two independent neural pathways; one locates objects in body-centered space, the other attributes properties, such as colour, to objects. In vision these are the dorsal and ventral pathways. In audition, similarly separable “where” and “what” pathways exist. PREDICATE(x) is a schematic representation of the brain's integration of the two processes of delivery by the senses of the location of an arbitrary (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   25 citations  
  25.  74
    Neural plasticity and concepts ontogeny.Alessio Plebe & Marco Mazzone - 2016 - Synthese 193 (12):3889-3929.
    Neural plasticity has been invoked as a powerful argument against nativism. However, there is a line of argument, which is well exemplified by Pinker and more recently by Laurence and Margolis The conceptual mind: new directions in the study of concepts, MIT, Cambridge, 2015) with respect to concept nativism, according to which even extreme cases of plasticity show important innate constraints, so that one should rather speak of “constrained plasticity”. According to this view, cortical areas are not really equipotential, they (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  26.  34
    Deep problems with neural network models of human vision.Jeffrey S. Bowers, Gaurav Malhotra, Marin Dujmović, Milton Llera Montero, Christian Tsvetkov, Valerio Biscione, Guillermo Puebla, Federico Adolfi, John E. Hummel, Rachel F. Heaton, Benjamin D. Evans, Jeffrey Mitchell & Ryan Blything - 2023 - Behavioral and Brain Sciences 46:e385.
    Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job in predicting (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  27. Neural Oscillations as Representations.Manolo Martínez & Marc Artiga - 2023 - British Journal for the Philosophy of Science 74 (3):619-648.
    We explore the contribution made by oscillatory, synchronous neural activity to representation in the brain. We closely examine six prominent examples of brain function in which neural oscillations play a central role, and identify two levels of involvement that these oscillations take in the emergence of representations: enabling (when oscillations help to establish a communication channel between sender and receiver, or are causally involved in triggering a representation) and properly representational (when oscillations are a constitutive part of the representation). We (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  28.  49
    Is Your Neural Data Part of Your Mind? Exploring the Conceptual Basis of Mental Privacy.Abel Wajnerman Paz - 2022 - Minds and Machines 32 (2):395-415.
    It has been argued that neural data are an especially sensitive kind of personal information that could be used to undermine the control we should have over access to our mental states, and therefore need a stronger legal protection than other kinds of personal data. The Morningside Group, a global consortium of interdisciplinary experts advocating for the ethical use of neurotechnology, suggests achieving this by treating legally ND as a body organ. Although the proposal is currently shaping ND-related policies, it (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  29.  67
    Précis of After Phrenology: Neural Reuse and the Interactive Brain.Michael L. Anderson - 2016 - Behavioral and Brain Sciences 39:1-22.
    Neural reuse is a form of neuroplasticity whereby neural elements originally developed for one purpose are put to multiple uses. A diverse behavioral repertoire is achieved by means of the creation of multiple, nested, and overlapping neural coalitions, in which each neural element is a member of multiple different coalitions and cooperates with a different set of partners at different times. Neural reuse has profound implications for how we think about our continuity with other species, for how we understand the (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   27 citations  
  30. Neural Representations Observed.Eric Thomson & Gualtiero Piccinini - 2018 - Minds and Machines 28 (1):191-235.
    The historical debate on representation in cognitive science and neuroscience construes representations as theoretical posits and discusses the degree to which we have reason to posit them. We reject the premise of that debate. We argue that experimental neuroscientists routinely observe and manipulate neural representations in their laboratory. Therefore, neural representations are as real as neurons, action potentials, or any other well-established entities in our ontology.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   29 citations  
  31. Neural Correlates of Consciousness and the Nature of the Mind.Matthew Owen - 2019 - In Mihretu P. Guta (ed.), Consciousness and the Ontology of Properties. New York: Routledge. pp. 241-260.
    It is often thought that contemporary neuroscience provides strong evidence for physicalism that nullifies dualism. The principal data is neural correlates of consciousness (for brevity NCC). In this chapter I argue that NCC are neutral vis- à-vis physicalist and dualist views of the mind. First I clarify what NCC are and how neuroscientists identify them. Subsequently I discuss what NCC entail and highlight the need for philosophical argumentation in order to conclude that physicalism is true by appealing to NCC. Lastly, (...)
    Direct download  
     
    Export citation  
     
    Bookmark   4 citations  
  32.  13
    The Neural Basis of Mentalizing.Chris D. Frith & Uta Frith - 2006 - Neuron 50 (4):531-534.
    Mentalizing refers to our ability to read the mental states of other agents and engages many neural processes. The brain's mirror system allows us to share the emotions of others. Through perspective taking, we can infer what a person currently believes about the world given their point of view. Finally, the human brain has the unique ability to represent the mental states of the self and the other and the relationship between these mental states, making possible the communication of ideas.
    Direct download  
     
    Export citation  
     
    Bookmark   97 citations  
  33. Empathy, neural imaging and the theory versus simulation debate.Frederick Adams - 2001 - Mind and Language 16 (4):368-392.
    This paper considers the debate over how we attribute beliefs, desires, and other mental states to our fellows. Do we employ a theory of mind? Or do we use simulational brain mechanisms, but employ no theory? One point of dispute between these theories focuses upon our ability to have empathic knowledge of the mind of another. I consider whether an argument posed by Ravenscroft settles the debate in favor of Simulation Theory. I suggest that the consideration of empathy does not (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   12 citations  
  34.  45
    Neural networks, AI, and the goals of modeling.Walter Veit & Heather Browning - 2023 - Behavioral and Brain Sciences 46:e411.
    Deep neural networks (DNNs) have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understanding human intelligence. Here, we criticize the underlying conflation between the predictive and explanatory power of DNNs by examining the goals of modeling.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  35.  13
    Neural Substrates of Consciousness: Implications for Clinical Psychiatry.Douglas F. Watt & David I. Pincus - 2004 - In Jaak Panksepp (ed.), Textbook of Biological Psychiatry. Wiley-Liss. pp. 75-110.
  36. Aristotelian Causation and Neural Correlates of Consciousness.Matthew Owen - 2020 - Topoi 39 (5):1-12.
    Neural correlates of consciousness (NCC) are neural states or processes correlated with consciousness. The aim of this article is to present a coherent explanatory model of NCC that is informed by Thomas Aquinas’s human ontology and Aristotle’s metaphysics of causation. After explicating four starting principles regarding causation and mind-body dependence, I propose the Mind-Body Powers model of NCC.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   7 citations  
  37.  67
    Neural Plasticity, Neuronal Recycling and Niche Construction.Richard Menary - 2014 - Mind and Language 29 (3):286-303.
    In Reading in the Brain, Stanislas Dehaene presents a compelling account of how the brain learns to read. Central to this account is his neuronal recycling hypothesis: neural circuitry is capable of being ‘recycled’ or converted to a different function that is cultural in nature. The original function of the circuitry is not entirely lost and constrains what the brain can learn. It is argued that the neural niche co-evolves with the environmental niche in a way that does not undermine (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   32 citations  
  38. Neural representationalism, the Hard Problem of Content and vitiated verdicts. A reply to Hutto & Myin.Matteo Colombo - 2014 - Phenomenology and the Cognitive Sciences 13 (2):257-274.
    Colombo’s (Phenomenology and the Cognitive Sciences, 2013) plea for neural representationalism is the focus of a recent contribution to Phenomenology and Cognitive Science by Daniel D. Hutto and Erik Myin. In that paper, Hutto and Myin have tried to show that my arguments fail badly. Here, I want to respond to their critique clarifying the type of neural representationalism put forward in my (Phenomenology and the Cognitive Sciences, 2013) piece, and to take the opportunity to make a few remarks of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   11 citations  
  39.  36
    A Neural Network Framework for Cognitive Bias.Johan E. Korteling, Anne-Marie Brouwer & Alexander Toet - 2018 - Frontiers in Psychology 9:358644.
    Human decision making shows systematic simplifications and deviations from the tenets of rationality (‘heuristics’) that may lead to suboptimal decisional outcomes (‘cognitive biases’). There are currently three prevailing theoretical perspectives on the origin of heuristics and cognitive biases: a cognitive-psychological, an ecological and an evolutionary perspective. However, these perspectives are mainly descriptive and none of them provides an overall explanatory framework for the underlying mechanisms of cognitive biases. To enhance our understanding of cognitive heuristics and biases we propose a neural (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  40.  39
    Neural reuse and cognitive homology.Vincent Bergeron - 2010 - Behavioral and Brain Sciences 33 (4):268-269.
    Neural reuse theories suggest that, in the course of evolution, a brain structure may acquire or lose a number of cognitive uses while maintaining its cognitive workings (or low-level operations) fixed. This, in turn, suggests that homologous structures may have very different cognitive uses, while sharing the same workings. And this, essentially, is homology thinking applied to brain function.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  41.  28
    The neural basis of monitoring goal progress.Yael Benn, Thomas L. Webb, Betty P. I. Chang, Yu-Hsuan Sun, Iain D. Wilkinson & Tom F. D. Farrow - 2014 - Frontiers in Human Neuroscience 8:99718.
    The neural basis of progress monitoring has received relatively little attention compared to other sub-processes that are involved in goal directed behavior such as motor control and response inhibition. Studies of error-monitoring have identified the dorsal anterior cingulate cortex (dACC) as a structure that is sensitive to conflict detection, and triggers corrective action. However, monitoring goal progress involves monitoring correct as well as erroneous events over a period of time. In the present research, 20 healthy participants underwent fMRI while playing (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  42.  18
    A Neural Dynamic Model of the Perceptual Grounding of Spatial and Movement Relations.Mathis Richter, Jonas Lins & Gregor Schöner - 2021 - Cognitive Science 45 (10):e13045.
    How does the human brain link relational concepts to perceptual experience? For example, a speaker may say “the cup to the left of the computer” to direct the listener's attention to one of two cups on a desk. We provide a neural dynamic account for both perceptual grounding, in which relational concepts enable the attentional selection of objects in the visual array, and for the generation of descriptions of the visual array using relational concepts. In the model, activation in neural (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  43.  81
    Neural blackboard architectures of combinatorial structures in cognition.van der Velde Frank & de Kamps Marc - 2006 - Behavioral and Brain Sciences 29 (1):37-70.
    Human cognition is unique in the way in which it relies on combinatorial (or compositional) structures. Language provides ample evidence for the existence of combinatorial structures, but they can also be found in visual cognition. To understand the neural basis of human cognition, it is therefore essential to understand how combinatorial structures can be instantiated in neural terms. In his recent book on the foundations of language, Jackendoff described four fundamental problems for a neural instantiation of combinatorial structures: the massiveness (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   20 citations  
  44. Seeking the Neural Correlates of Awakening.Julien Tempone-Wiltshire - 2024 - Journal of Consciousness Studies 31 (1):173-203.
    Contemplative scholarship has recently reoriented attention towards the neuroscientific study of the soteriological ambition of Buddhist practice, 'awakening'. This article evaluates the project of seeking neural correlates for awakening. Key definitional and operational issues are identified demonstrating that: the nature of awakening is highly contested both within and across Buddhist traditions; the meaning of awakening is both context- and concept-dependent; and awakening may be non-conceptual and ineffable. It is demonstrated that operationalized secular conceptions of awakening, divorced from soteriological and cultural (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  45. Neural reuse: A fundamental organizational principle of the brain.Michael L. Anderson - 2010 - Behavioral and Brain Sciences 33 (4):245.
    An emerging class of theories concerning the functional structure of the brain takes the reuse of neural circuitry for various cognitive purposes to be a central organizational principle. According to these theories, it is quite common for neural circuits established for one purpose to be exapted (exploited, recycled, redeployed) during evolution or normal development, and be put to different uses, often without losing their original functions. Neural reuse theories thus differ from the usual understanding of the role of neural plasticity (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   240 citations  
  46. Neural decoding, the Atlantis machine, and zombies.Rosa Cao & Jared Warren - 2023 - Philosophical Perspectives 37 (1):69-89.
    Neural decoding studies seem to show that the “private” experiences of others are more accessible than philosophers have traditionally believed. While these studies have many limitations, they do demonstrate that by capturing patterns in brain activity, we can discover a great deal about what a subject is experiencing. We present a thought experiment about a super-decoder — the Atlantis machine — and argue that given plausible assumptions, an Atlantis machine could one day be built. On the basis of this argument, (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  47.  38
    Neurosemantics Neural Processes and the Construction of Language Meaning.Alessio Plebe & Vivian M. De La Cruz - 2016 - Cham: Springer. Edited by De La Cruz & M. Vivian.
    This book examines the concept of “ Neurosemantics”, a term currently used in two different senses: the informational meaning of the physical processes in the neural circuits, and semantics in its classical sense, as the meaning of language, explained in terms of neural processes. The book explores this second sense of neurosemantics, yet in doing so, it addresses much of the first meaning as well. Divided into two parts, the book starts with a description and analysis of the mathematics of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  48.  38
    Neural Representations Beyond “Plus X”.Vivian Cruz & Alessio Plebe - 2018 - Minds and Machines 28 (1):93-117.
    In this paper we defend structural representations, more specifically neural structural representation. We are not alone in this, many are currently engaged in this endeavor. The direction we take, however, diverges from the main road, a road paved by the mathematical theory of measure that, in the 1970s, established homomorphism as the way to map empirical domains of things in the world to the codomain of numbers. By adopting the mind as codomain, this mapping became a boon for all those (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  49. Neural-Symbolic Cognitive Reasoning.Artur D'Avila Garcez, Luis Lamb & Dov Gabbay - 2009 - New York: Springer.
    Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artificial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it? -/- The authors address this question by presenting neural network models that integrate the two most fundamental phenomena of cognition: our ability to learn from experience, and our ability to reason from what has been learned. This (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  50.  60
    Neural fetal tissue transplants: Old and new issues.Lois Margaret Nora & Mary B. Mahowald - 1996 - Zygon 31 (4):615-632.
    Neural fetal tissue transplantation offers promise as a treatment for devasting neurologic conditions such as Parkinson's disease. Two types of issues arise from this procedure: those associated with the use of fetuses, and those associated with the use of neural tissue. The former issues have been examined in many forums; the latter have not. This paper reviews issues and arguments raised by the use of fetal tissue in general, but focuses on the implications of the use of neural tissue for (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
1 — 50 / 1000