Results for 'Saccade programming'

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  1.  6
    Express saccade programming produces visually triggered saccades.J. E. Albano - 1993 - Behavioral and Brain Sciences 16 (3):568-568.
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  2.  8
    Attention, saccade programming, and the timing of eye-movement control.Ralph Radach, Heiner Deubel & Dieter Heller - 2003 - Behavioral and Brain Sciences 26 (4):497-498.
    E-Z Reader achieves an impressive fit of empirical eye movement data by simulating core processes of reading in a computational approach that includes serial word processing, shifts of attention, and temporal overlap in the programming of saccades. However, when common assumptions for the time requirements of these processes are taken into account, severe constraints on the time line within which these elements can be combined become obvious. We argue that it appears difficult to accommodate these processes within a largely (...)
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  3. Saccade programming in strabismic suppression.J. M. Findlay, R. Walker, V. Brown, I. Gilchrist & M. Clarke - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview Pub. Co. pp. 10-10.
  4. Dissociation of selection from saccade programming.K. G. Thompson - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press. pp. 124--129.
     
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  5.  3
    How tight is the link between lexical processing and saccade programs?Reinhold Kliegl & Ralf Engbert - 2003 - Behavioral and Brain Sciences 26 (4):491-492.
    We question the assumption of serial attention shifts and the assumption that saccade programs are initiated or canceled only after stage one of word identification. Evidence: (1) Fixation durations prior to skipped words are not consistently higher compared to those prior to nonskipped words. (2) Attentional modulation of microsaccade rate might occur after early visual processing. Saccades are probably triggered by attentional selection.
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  6.  3
    Is attention engaged or disengaged in saccade programming?Daniel Cavegn - 1993 - Behavioral and Brain Sciences 16 (3):573-574.
  7.  16
    Serial programming for saccades: Does it all add up?John M. Findlay & Sarah J. White - 2003 - Behavioral and Brain Sciences 26 (4):483-484.
    This commentary analyses the quantitative parameters of Reichle et al.'s model, using estimates when explicit information is not provided. The analysis highlights certain features that appear to be necessary to make the model work and ends by noting a possible problem concerning the variability associated with oculomotor programming.
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  8.  13
    The Role of Emotional Content and Perceptual Saliency During the Programming of Saccades Toward Faces.Léa Entzmann, Nathalie Guyader, Louise Kauffmann, Juliette Lenouvel, Clémence Charles, Carole Peyrin, Roman Vuillaume & Martial Mermillod - 2021 - Cognitive Science 45 (10):e13042.
    Previous studies have shown that the human visual system can detect a face and elicit a saccadic eye movement toward it very efficiently compared to other categories of visual stimuli. In the first experiment, we tested the influence of facial expressions on fast face detection using a saccadic choice task. Face‐vehicle pairs were simultaneously presented and participants were asked to saccade toward the target (the face or the vehicle). We observed that saccades toward faces were initiated faster, and more (...)
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  9.  15
    Oculomotor capture by abrupt onsets reveals concurrent programming of voluntary and involuntary saccades.Arthur F. Kramer, David E. Irwin, Jan Theeuwes & Sowon Hahn - 1999 - Behavioral and Brain Sciences 22 (4):689-690.
    In several recent experiments we have found that the eyes are often captured by the appearance of a sudden onset in a display, even though subjects intend to move their eyes elsewhere. Very brief fixations are made on the abrupt onset before the eyes complete their intended movement to the previously defined target. These results indicate concurrent programming of a voluntary saccade to the defined saccade target and an involuntary saccade to the sudden onset. This is (...)
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  10.  5
    A model of saccade generation based on parallel processing and competitive inhibition.John M. Findlay & Robin Walker - 1999 - Behavioral and Brain Sciences 22 (4):661-674.
    During active vision, the eyes continually scan the visual environment using saccadic scanning movements. This target article presents an information processing model for the control of these movements, with some close parallels to established physiological processes in the oculomotor system. Two separate pathways are concerned with the spatial and the temporal programming of the movement. In the temporal pathway there is spatially distributed coding and the saccade target is selected from a Both pathways descend through a hierarchy of (...)
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  11.  4
    Concurrent processing of saccades.Robert M. McPeek, Edward L. Keller & Ken Nakayama - 1999 - Behavioral and Brain Sciences 22 (4):691-692.
    We summarize several experiments indicating that the saccadic system is capable of simultaneously programming two movements toward different goals. This concurrent processing of saccades can lead to the execution of two saccades separated by an extremely short intersaccadic interval. This supports the idea of target competition proposed in Findlay & Walker's article, but suggests a greater degree of parallel processing. We provide evidence that concurrent processing of two saccades is not limited to higher-level planning subsystems; rather, it also involves (...)
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  12.  8
    How are saccades generated?John M. Findlay & Robin Walker - 1999 - Behavioral and Brain Sciences 22 (4):706-713.
    Our target article discussed how emerging knowledge of the physiological processes involved in the control of saccadic eye movements provided the basis for a functional framework in which to understand the programming of such movements. The commentators raised many interesting issues in their varied responses that ranged from detailed discussion of the physiological substrate through issues of saccade control in reading. New evidence at the physiological level demonstrates that some elaborations are needed to the framework we proposed. Most (...)
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  13.  3
    Learning from cerebellar lesions about the temporal and spatial aspects of saccadic control.Alain Guillaume, Laurent Goffart & Denis Pélisson - 1999 - Behavioral and Brain Sciences 22 (4):687-688.
    In the model proposed by Findlay & Walker, the programming of saccadic eye movements is achieved by two parallel processes, one dedicated to the coding of saccade metrics (Where) and the other controlling saccade initiation (When). One outcome of the “winner-take-all” characteristics of the salience map, the main node of the model, is an independence between the metrics and the latency of saccades. We report on some observations, made in the head-unrestrained cat under pathological conditions, of a (...)
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  14.  4
    Spatial programming and the representation of salience.Jay A. Edelman, Jacqueline Gottlieb & Michael E. Goldberg - 1999 - Behavioral and Brain Sciences 22 (4):682-682.
    The posterior parietal cortex and frontal eye field contain maps of visual salience on which the decision to choose a saccade may be based. However, an averaging express saccade is not represented by a victorious unimodal representation in the superior colliculus. Normalization as described by Findlay & Walker is not necessary for the generation of saccades.
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  15.  12
    Eye movements in reading: Models and data.Keith Rayner, Alexander Pollatsek & Erik D. Reichle - 2003 - Behavioral and Brain Sciences 26 (4):507-518.
    The issues the commentators have raised and which we address, include: the debate over how attention is allocated during reading; our distinction between early and late stages of lexical processing; our assumptions about saccadic programming; the determinants of skipping and refixations; and the role that higher-level linguistic processing may play in influencing eye movements during reading. In addition, we provide a discussion of model development and principles for evaluating and comparing models. Although we acknowledge that E-Z Reader is incomplete, (...)
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  16.  9
    E-z reader's assumptions about lexical processing: Not so easy to define the two stages of word identification?Sally Andrews - 2003 - Behavioral and Brain Sciences 26 (4):477-478.
    E-Z Reader's account of the interaction between oculomotor and cognitive processes depends critically on distinguishing between early and late stages of lexical processing, because this distinction allows saccadic programming to be decoupled from shifts of attention. Precisely specifying the nature of this distinction has important implications both for current models of lexical retrieval and for the development of E-Z Reader 8.
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  17.  6
    Modeling Lag‐2 Revisits to Understand Trade‐Offs in Mixed Control of Fixation Termination During Visual Search.J. Godwin Hayward, D. Reichle Erik & Menneer Tamaryn - 2017 - Cognitive Science 41 (4):996-1019.
    An important question about eye-movement behavior is when the decision is made to terminate a fixation and program the following saccade. Different approaches have found converging evidence in favor of a mixed-control account, in which there is some overlap between processing information at fixation and planning the following saccade. We examined one interesting instance of mixed control in visual search: lag-2 revisits, during which observers fixate a stimulus, move to a different stimulus, and then revisit the first stimulus (...)
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  18.  12
    Where to look next? The missing landing position effect.Geoffrey Underwood - 2003 - Behavioral and Brain Sciences 26 (4):505-506.
    The E-Z Reader 7 model is powerful but incomplete. When programming the saccade to the next word, we take into account the familiarity of the letter sequences at the beginning of that word. This landing position effect is well established, but is neglected in the model. A possible locus for the effect is suggested within the E-Z Reader framework.
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  19.  4
    Logic Programming: 10th International Symposium : Preprinted Papers and Abstracts.Dale Miller & Association for Logic Programming - 1993
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  20.  5
    Logic Programming: Proceedings of the Joint International Conference and Symposium on Logic Programming.Krzysztof R. Apt & Association for Logic Programming - 1992 - MIT Press (MA).
    The Joint International Conference on Logic Programming, sponsored by the Association for Logic Programming, is a major forum for presentations of research, applications, and implementations in this important area of computer science. Logic programming is one of the most promising steps toward declarative programming and forms the theoretical basis of the programming language Prolog and its various extensions. Logic programming is also fundamental to work in artificial intelligence, where it has been used for nonmonotonic (...)
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  21.  3
    Logic Programming and Non-monotonic Reasoning: Proceedings of the First International Workshop.Wiktor Marek, Anil Nerode, V. S. Subrahmanian & Association for Logic Programming - 1991 - MIT Press (MA).
    The First International Workshop brings together researchers from the theoretical ends of the logic programming and artificial intelligence communities to discuss their mutual interests. Logic programming deals with the use of models of mathematical logic as a way of programming computers, where theoretical AI deals with abstract issues in modeling and representing human knowledge and beliefs. One common ground is nonmonotonic reasoning, a family of logics that includes room for the kinds of variations that can be found (...)
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  22. Manfred Mohr.Programmed Esthetics - 1978 - In Richard Kostelanetz (ed.), Esthetics contemporary. Buffalo, N.Y.: Prometheus Books. pp. 154.
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  23.  8
    Research Doctorate Programs in the United States: Continuity and Change.Marvin L. Goldberger, Brendan A. Maher, Pamela Ebert Flattau, Committee for the Study of Research-Doctorate Programs in the United States & Conference Board of Associated Research Councils - 1995 - National Academies Press.
    Doctoral programs at U.S. universities play a critical role in the development of human resources both in the United States and abroad. This volume reports the results of an extensive study of U.S. research-doctorate programs in five broad fields: physical sciences and mathematics, engineering, social and behavioral sciences, biological sciences, and the humanities. Research-Doctorate Programs in the United States documents changes that have taken place in the size, structure, and quality of doctoral education since the widely used 1982 editions. This (...)
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  24.  3
    Edukacja dialektyczna i szkoła przyszłości.Ryszard ¡Ukaszewicz & W. P. Centralny Program Badaân Podstawowych 08 I. Kierunek Rozwoju Systemu Oâswiaty - 1991 - Wrocław: Zakład Narodowy im. Ossolińskich.
  25.  11
    Combining answer set programming with description logics for the Semantic Web.Thomas Eiter, Giovambattista Ianni, Thomas Lukasiewicz, Roman Schindlauer & Hans Tompits - 2008 - Artificial Intelligence 172 (12-13):1495-1539.
  26.  8
    Answer set programming and plan generation.Vladimir Lifschitz - 2002 - Artificial Intelligence 138 (1-2):39-54.
  27.  43
    On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
  28.  5
    A logic programming approach to knowledge-state planning, II: The system.Thomas Eiter, Wolfgang Faber, Nicola Leone, Gerald Pfeifer & Axel Polleres - 2003 - Artificial Intelligence 144 (1-2):157-211.
  29.  5
    Do Flipped Learning and Adaptive Instruction Improve Student Learning Outcome? A Case Study of a Computer Programming Course in Taiwan.Hong-Ren Chen & Wen-Chiao Hsu - 2022 - Frontiers in Psychology 12.
    Flipped learning could improve the learning effectiveness of students. However, some studies have pointed out the limitations related to flipped classrooms because the content of the flipped course does not vary according to the needs of the students. On the other hand, adaptive teaching, which customizes the learning mode according to the individual needs of students, can make up for some of the shortcomings of flipped teaching. This study combines adaptive teaching with flipped teaching and applies it to face-to-face classroom (...)
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  30. Bilattices and the Semantics of Logic Programming.Melvin Fitting - unknown
    Bilattices, due to M. Ginsberg, are a family of truth value spaces that allow elegantly for missing or conflicting information. The simplest example is Belnap’s four-valued logic, based on classical two-valued logic. Among other examples are those based on finite many-valued logics, and on probabilistic valued logic. A fixed point semantics is developed for logic programming, allowing any bilattice as the space of truth values. The mathematics is little more complex than in the classical two-valued setting, but the result (...)
     
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  31.  5
    Over-Constrained Systems.Michael Jampel, Eugene C. Freuder, Michael Maher & International Conference on Principles and Practice of Constraint Programming - 1996 - Springer Verlag.
    This volume presents a collection of refereed papers reflecting the state of the art in the area of over-constrained systems. Besides 11 revised full papers, selected from the 24 submissions to the OCS workshop held in conjunction with the First International Conference on Principles and Practice of Constraint Programming, CP '95, held in Marseilles in September 1995, the book includes three comprehensive background papers of central importance for the workshop papers and the whole field. Also included is an introduction (...)
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  32.  6
    Relating constraint answer set programming languages and algorithms.Yuliya Lierler - 2014 - Artificial Intelligence 207 (C):1-22.
  33.  12
    Uniform proofs as a foundation for logic programming.Dale Miller, Gopalan Nadathur, Frank Pfenning & Andre Scedrov - 1991 - Annals of Pure and Applied Logic 51 (1-2):125-157.
    Miller, D., G. Nadathur, F. Pfenning and A. Scedrov, Uniform proofs as a foundation for logic programming, Annals of Pure and Applied Logic 51 125–157. A proof-theoretic characterization of logical languages that form suitable bases for Prolog-like programming languages is provided. This characterization is based on the principle that the declarative meaning of a logic program, provided by provability in a logical system, should coincide with its operational meaning, provided by interpreting logical connectives as simple and fixed search (...)
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  34.  22
    Constructive mathematics in theory and programming practice.Douglas Bridges & Steeve Reeves - 1999 - Philosophia Mathematica 7 (1):65-104.
    The first part of the paper introduces the varieties of modern constructive mathematics, concentrating on Bishop's constructive mathematics (BISH). it gives a sketch of both Myhill's axiomatic system for BISH and a constructive axiomatic development of the real line R. The second part of the paper focusses on the relation between constructive mathematics and programming, with emphasis on Martin-L6f 's theory of types as a formal system for BISH.
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  35.  2
    Neural probabilistic logic programming in DeepProbLog.Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, Thomas Demeester & Luc De Raedt - 2021 - Artificial Intelligence 298 (C):103504.
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  36.  12
    Constructive Mathematics in Theory and Programming Practice.Douglas Bridges & Steeve Reeves - 1998 - Philosophia Mathematica 6 (3):65-104.
    The first part of the paper introduces the varieties of modern constructive mathematics, concentrating on Bishop's constructive mathematics. it gives a sketch of both Myhill's axiomatic system for BISH and a constructive axiomatic development of the real line R. The second part of the paper focusses on the relation between constructive mathematics and programming, with emphasis on Martin-L6f 's theory of types as a formal system for BISH.
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  37.  7
    Proof theory and computer programming.Ruy J. B. de Queiroz & Thomas Maibaum - 1990 - Mathematical Logic Quarterly 36 (5):389-414.
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  38.  8
    Early life epigenetic programming and transmission of stress‐induced traits in mammals.Katharina Gapp, Lukas von Ziegler, Ry Yves Tweedie-Cullen & Isabelle M. Mansuy - 2014 - Bioessays 36 (5):491-502.
    The environment can have a long‐lasting influence on an individual's physiology and behavior. While some environmental conditions can be beneficial and result in adaptive responses, others can lead to pathological behaviors. Many studies have demonstrated that changes induced by the environment are expressed not only by the individuals directly exposed, but also by the offspring sometimes across multiple generations. Epigenetic alterations have been proposed as underlying mechanisms for such transmissible effects. Here, we review the most relevant literature on these changes (...)
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  39.  2
    Integer Linear Programming for the Bayesian network structure learning problem.Mark Bartlett & James Cussens - 2017 - Artificial Intelligence 244 (C):258-271.
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  40.  2
    Schema Creation in Programming.Robert S. Rist - 1989 - Cognitive Science 13 (3):389-414.
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  41.  10
    Paraconsistent Logic Programming in Three and Four-Valued Logics.Kleidson Êglicio Carvalho da Silva Oliveira - 2022 - Bulletin of Symbolic Logic 28 (2):260-260.
  42.  3
    Non-Horn clause logic programming.Xumin Nie - 1997 - Artificial Intelligence 92 (1-2):243-258.
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  43.  2
    From answer set logic programming to circumscription via logic of GK.Fangzhen Lin & Yi Zhou - 2011 - Artificial Intelligence 175 (1):264-277.
  44.  6
    Assumption-based argumentation for extended disjunctive logic programming and its relation to nonmonotonic reasoning.Toshiko Wakaki - forthcoming - Argument and Computation:1-45.
    The motivation of this study is that Reiter’s default theory as well as assumption-based argumentation frameworks corresponding to default theories have difficulties in handling disjunctive information, while a disjunctive default theory (ddt) avoids them. This paper presents the semantic correspondence between generalized assumption-based argumentation (ABA) and extended disjunctive logic programming as well as the correspondence between ABA and nonmonotonic reasoning approaches such as disjunctive default logic and prioritized circumscription. To overcome the above-mentioned difficulties of ABA frameworks corresponding to default (...)
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  45.  2
    Order-sorted logic programming with predicate hierarchy.Ken Kaneiwa - 2004 - Artificial Intelligence 158 (2):155-188.
  46.  14
    AI and the Origins of the Functional Programming Language Style.Mark Priestley - 2017 - Minds and Machines 27 (3):449-472.
    The Lisp programming language is often described as the first functional programming language and also as an important early AI language. In the history of functional programming, however, it occupies a rather anomalous position, as the circumstances of its development do not fit well with the widely accepted view that functional languages have been developed through a theoretically-inspired project of deriving practical programming languages from the lambda calculus. This paper examines the origins of Lisp in the (...)
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  47.  3
    Proof theory and computer programming.Ruy J. G. B. de Queiroz & Thomas S. E. Maibaum - 1990 - Zeitschrift fur mathematische Logik und Grundlagen der Mathematik 36 (5):389-414.
  48.  3
    Open constraint programming.Boi Faltings & Santiago Macho-Gonzalez - 2005 - Artificial Intelligence 161 (1-2):181-208.
  49.  90
    Lagrange Multipliers and Neutrosophic Nonlinear Programming Problems Constrained by Equality Constraints.Florentin Smarandache & Maissam Jdid - 2023 - Neutrosophic Systems with Applications 6.
    Operations research science is defined as the science that is concerned with applying scientific methods to complex problems in managing and directing large systems of people, including resources and tools in various fields, private and governmental work, peace and war, politics, administration, economics, planning and implementation in various domains. It uses scientific methods that take the language of mathematics as a basis for it and uses computer, without which it would not have been possible to achieve numerical solutions to the (...)
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  50. Meta-Logics and Logic Programming.[author unknown] - 1998 - Studia Logica 60 (2):340-342.
     
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