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Bharath Chandrasekaran [8]B. Chandrasekaran [7]Balakrishnan Chandrasekaran [2]
  1.  19
    Information Processing Abstractions: The Message Still Counts More Than the Medium.B. Chandrasekaran, Ashok Goel & Dean Allemang - 1988 - Behavioral and Brain Sciences 11 (1):26-27.
  2. Augmenting Cognitive Architectures to Support Diagrammatic Imagination.Balakrishnan Chandrasekaran, Bonny Banerjee, Unmesh Kurup & Omkar Lele - 2011 - Topics in Cognitive Science 3 (4):760-777.
    Diagrams are a form of spatial representation that supports reasoning and problem solving. Even when diagrams are external, not to mention when there are no external representations, problem solving often calls for internal representations, that is, representations in cognition, of diagrammatic elements and internal perceptions on them. General cognitive architectures—Soar and ACT-R, to name the most prominent—do not have representations and operations to support diagrammatic reasoning. In this article, we examine some requirements for such internal representations and processes in cognitive (...)
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  3.  4
    Autonomic Nervous System Responses During Perception of Masked Speech May Reflect Constructs Other Than Subjective Listening Effort.Alexander L. Francis, Megan K. MacPherson, Bharath Chandrasekaran & Ann M. Alvar - 2016 - Frontiers in Psychology 7.
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  4.  11
    Toward a Dual-Learning Systems Model of Speech Category Learning.Bharath Chandrasekaran, Seth R. Koslov & W. T. Maddox - 2014 - Frontiers in Psychology 5.
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  5.  25
    Influence of Depressive Symptoms on Speech Perception in Adverse Listening Conditions.Bharath Chandrasekaran, Kristin Van Engen, Zilong Xie, Christopher G. Beevers & W. Todd Maddox - 2015 - Cognition and Emotion 29 (5):900-909.
  6.  32
    When is a Bunch of Marks on Paper a Diagram? Diagrams as Homomorphic Representations.Balakrishnan Chandrasekaran - 2011 - Semiotica 2011 (186):69-87.
    That diagrams are analog, i.e., homomorphic, representations of some kind, and sentential representations are not, is a generally held intuition. In this paper, we develop a formal framework in which the claim can be stated and examined, and certain puzzles resolved. We start by asking how physical things can represent information in some target domain. We lay a basis for investigating possible homomorphisms by modeling both the physical medium and the target domain as sets of variables, each with a constraint (...)
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  7.  60
    Constructing Diagrams Representing Group Motions.Bonny Banerjee & B. Chandrasekaran - 2004 - In A. Blackwell, K. Marriott & A. Shimojima (eds.), Diagrammatic Representation and Inference. Springer. pp. 376--378.
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  8. Is Human Cognition Adaptive-Response.B. Chandrasekaran - 1991 - Behavioral and Brain Sciences 14 (3):489-490.
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  9. A Theory of Spatio-Temporal Aggregation for Vision.Bruce E. Flinchbaugh & B. Chandrasekaran - 1981 - Artificial Intelligence 17 (1-3):387-407.
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  10. Language Experience During the Sensitive Period Narrows Infants’ Sensory Encoding of Lexical Tones—Music Intervention Reverses It.Tian Christina Zhao, Fernando Llanos, Bharath Chandrasekaran & Patricia K. Kuhl - 2022 - Frontiers in Human Neuroscience 16.
    The sensitive period for phonetic learning, evidenced by improved native speech processing and declined non-native speech processing, represents an early milestone in language acquisition. We examined the extent that sensory encoding of speech is altered by experience during this period by testing two hypotheses: early sensory encoding of non-native speech declines as infants gain native-language experience, and music intervention reverses this decline. We longitudinally measured the frequency-following response, a robust indicator of early sensory encoding along the auditory pathway, to a (...)
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  11. Quality of Frequency-Following Response to Speech Sounds Linked with Left Prefrontal Hemodynamic Activity Using fNIRS+EEG.Benjamin Zinszer, Todd Hay, Alex Athey & Bharath Chandrasekaran - 2018 - Frontiers in Human Neuroscience 12.
  12.  17
    Mechanistic and Rationalistic Explanations Are Complementary.B. Chandrasekaran - 1991 - Behavioral and Brain Sciences 14 (3):489-491.
  13.  20
    Connectionism and Information-Processing Abstractions.B. Chandrasekaran, A. Goel & D. Allemang - 1988 - AI Magazine 24.
  14.  10
    Abduction by Classification and Assembly.John R. Josephson, B. Chandrasekaran, Jack W. Smith & Michael C. Tanner - 1986 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:458 - 470.
    Red-2 is a computer program for red-cell antibody identification, a piece of "normal science". Abstracting from Red-2, a general problem solving mechanism is described that is especially suited for performing a form of abductive inference or best explanation finding. A problem solver embodying this mechanism synthesizes composite hypotheses by combining hypothesis parts. This is a common task of intelligence, and a component of scientific reasoning. The work addresses the question, 'How is science possible?' by showing how a simple but powerful (...)
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  15.  4
    Enhanced Cognitive and Perceptual Processing: A Computational Basis for the Musician Advantage in Speech Learning.Kirsten E. Smayda, Bharath Chandrasekaran & W. Todd Maddox - 2015 - Frontiers in Psychology 6.
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  16.  1
    Auditory and Visual Category Learning in Musicians and Nonmusicians.Casey L. Roark, Kirsten E. Smayda & Bharath Chandrasekaran - 2022 - Journal of Experimental Psychology: General 151 (3):739-748.
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  17.  1
    Cortical Tracking of the Speech Envelope in Logopenic Variant Primary Progressive Aphasia.Heather R. Dial, G. Nike Gnanateja, Rachel S. Tessmer, Maria Luisa Gorno-Tempini, Bharath Chandrasekaran & Maya L. Henry - 2021 - Frontiers in Human Neuroscience 14.
    Logopenic variant primary progressive aphasia is a neurodegenerative language disorder primarily characterized by impaired phonological processing. Sentence repetition and comprehension deficits are observed in lvPPA and linked to impaired phonological working memory, but recent evidence also implicates impaired speech perception. Currently, neural encoding of the speech envelope, which forms the scaffolding for perception, is not clearly understood in lvPPA. We leveraged recent analytical advances in electrophysiology to examine speech envelope encoding in lvPPA. We assessed cortical tracking of the speech envelope (...)
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