Results for 'Pagavathigounder Balasubramaniam'

18 found
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  1.  21
    Robust guaranteed cost control for discrete-time systems via partially delay-dependent controller with linear fractional uncertainties.Balasubramaniam Pagavathigounder, Nishanthi Dhanasekaran & Jarina Banu Liyakath Ali - 2016 - Complexity 21 (S2):113-122.
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  2.  28
    Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays.Muhammed Syed Ali, Pagavathigounder Balasubramaniam, Fathalla A. Rihan & Shanmugam Lakshmanan - 2016 - Complexity 21 (5):143-154.
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  3.  34
    Stability and Hopf bifurcation analysis of novel hyperchaotic system with delayed feedback control.Mani Prakash & Pagavathigounder Balasubramaniam - 2016 - Complexity 21 (6):180-193.
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  4.  20
    Robust stability results for nonlinear Markovian jump systems with mode-dependent time-varying delays and randomly occurring uncertainties.Ramasamy Krishnasamy & Pagavathigounder Balasubramaniam - 2016 - Complexity 21 (6):50-60.
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  5.  17
    Robust Stability Criterion for Discrete-Time Nonlinear Switched Systems with Randomly Occurring Delays via T-S Fuzzy Approach.P. Balasubramaniam & L. Jarina Banu - 2015 - Complexity 20 (6):49-61.
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  6.  48
    Factorization of Force and Timing in Sensorimotor Performance: Long‐Range Correlation Properties of Two Different Task Goals.Ramesh Balasubramaniam, Michael J. Hove & Butovens Médé - 2018 - Topics in Cognitive Science 10 (1):120-132.
    Long‐range correlation is a general class of coordination pattern found to be common to the intrinsic dynamics of complex systems, including human behavior. Balasubramaniam, Hove, and Médé investigate intrinsic dynamics in repeated finger movements, and they find that different measures of movement dynamics yield different long‐range correlations. Results shed light on the way that coordination patterns are expressed as a function of measurement context.
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  7.  10
    Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay.G. Nagamani, S. Ramasamy & P. Balasubramaniam - 2016 - Complexity 21 (3):47-58.
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  8.  22
    Explaining Strange Parallels.Arun Balasubramaniam - 1992 - International Philosophical Quarterly 32 (2):205-223.
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  9.  28
    Redundancy in the nervous system: Where internal models collapse.Ramesh Balasubramaniam - 2004 - Behavioral and Brain Sciences 27 (3):396-397.
    Grush has proposed a fairly comprehensive version of the idea of internal models within the framework of the emulation theory of representation. However, the formulation suffers from assumptions that render such models biologically infeasible. Here I present some problems from physiological principles of human movement production to illustrate why. Some alternative views to emulation are presented.
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  10.  32
    Some robotic imitations of biological movements can be counterproductive.Ramesh Balasubramaniam & Anatol G. Feldman - 2001 - Behavioral and Brain Sciences 24 (6):1050-1051.
    It is proposed here that Webb's ideas about robots as possible models of animals need some rethinking. In our view, even though widely used biorobotics strategies are fairly successful at reproducing the macroscopic behavior of biological systems, there are still several problems unresolved on the side of robotics as well as biology. Both mathematical and hardware-like robotics models should be feasible physiologically. Control principles elaborated in robotics are not necessarily applied to biological control systems. Although observations of flying birds inspired (...)
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  11.  15
    Pains And Gains Of Rural Health Practice: Lessons Books Never Taught.Sridevi Seetharam, Bindu Balasubramaniam, G. S. Kumar & M. R. Seetharam - 2012 - Narrative Inquiry in Bioethics 2 (2):106-109.
    In lieu of an abstract, here is a brief excerpt of the content:Pains And Gains Of Rural Health Practice:Lessons Books Never TaughtSridevi Seetharam, Bindu Balasubramaniam, G. S. Kumar, and M. R. SeetharamHow The Journey BeganIn the early 1980s, as fresh graduates from Mysore Medical College in southern India, we were brimming with a zeal to "cure the sick" and "change the world." We had an ideal of evidence-based, rational, ethical and equitable health care and set out to serve rural (...)
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  12.  17
    A delay decomposition approach for robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay.Gnaneswaran Nagamani, Thirunavukkarasu Radhika & Pagavathi Balasubramaniam - 2016 - Complexity 21 (5):248-264.
  13.  8
    Physical and neural entrainment to rhythm: human sensorimotor coordination across tasks and effector systems.Jessica Marie Ross & Ramesh Balasubramaniam - 2014 - Frontiers in Human Neuroscience 8.
  14.  15
    Motor and Predictive Processes in Auditory Beat and Rhythm Perception.Shannon Proksch, Daniel C. Comstock, Butovens Médé, Alexandria Pabst & Ramesh Balasubramaniam - 2020 - Frontiers in Human Neuroscience 14.
  15.  9
    Conceptualization, context, and comparison are key to understanding the evolution of fear.Jacob C. Dunn, Rachael Miller, Krishna Balasubramaniam, Çağlar Akçay & Claudia A. F. Wascher - 2023 - Behavioral and Brain Sciences 46:e61.
    The fearful ape hypothesis proposes that heightened fearfulness in humans is adaptive. However, despite its attractive anthropocentric narrative, the evidence presented for greater fearfulness in humans versus other apes is not sufficient to support this claim. Conceptualization, context, and comparison are strongly lacking in Grossmann's proposal, but are key to understanding variation in the fear response among individuals and species.
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  16.  23
    Affordance Compatibility Effect for Word Learning in Virtual Reality.Chelsea L. Gordon, Timothy M. Shea, David C. Noelle & Ramesh Balasubramaniam - 2019 - Cognitive Science 43 (6):e12742.
    Rich sensorimotor interaction facilitates language learning and is presumed to ground conceptual representations. Yet empirical support for early stages of embodied word learning is currently lacking. Finding evidence that sensorimotor interaction shapes learned linguistic representations would provide crucial support for embodied language theories. We developed a gamified word learning experiment in virtual reality in which participants learned the names of six novel objects by grasping and manipulating objects with either their left or right hand. Participants then completed a word–color match (...)
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  17.  5
    Recurrence Quantification Analysis of Crowd Sound Dynamics.Shannon Proksch, Majerle Reeves, Kent Gee, Mark Transtrum, Chris Kello & Ramesh Balasubramaniam - 2023 - Cognitive Science 47 (10):e13363.
    When multiple individuals interact in a conversation or as part of a large crowd, emergent structures and dynamics arise that are behavioral properties of the interacting group rather than of any individual member of that group. Recent work using traditional signal processing techniques and machine learning has demonstrated that global acoustic data recorded from a crowd at a basketball game can be used to classify emergent crowd behavior in terms of the crowd's purported emotional state. We propose that the description (...)
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  18.  18
    The Human Person and Society.Dasheng Zhu, Hsi-pʻing Chin & George F. McLean (eds.) - 1997 - The Council for Research in Values and Philosophy.
    COUNCIL FOR RESEARCH IN VALUES AND PHILOSOPHY MEMBERS S. Avineri, Jerusalem P. Balasubramaniam, Madras M. Bedna, Prague P....
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