Title of article :
Brain, behaviour and mathematics: Are we using the right approaches?
Author/Authors :
Perez Velazquez، نويسنده , , Jose Luis، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Pages :
22
From page :
161
To page :
182
Abstract :
Mathematics are used in biological sciences mostly as a quantifying tool, for it is the science of numbers after all. There is a long-standing interest in the application of mathematical methods and concepts to neuroscience in attempts to decipher brain activity. While there has been a very wide use of mathematical/physical methodologies, less effort has been made to formulate a comprehensive and integrative theory of brain function. This review concentrates on recent developments, uses and abuses of mathematical formalisms and techniques that are being applied in brain research, particularly the current trend of using dynamical system theory to unravel the global, collective dynamics of brain activity. It is worth emphasising that the theoretician-neuroscientist, eager to apply mathematical analysis to neuronal recordings, has to consider carefully some crucial anatomo-physiological assumptions, that may not be as accurate as the specific methods require. On the other hand, the experimentalist neuro-physicist, with an inclination to implement mathematical thoughts in brain science, has to make an effort to comprehend the bases of the theoretical concepts that can be used as frameworks or as analysis methods of brain electrophysiological recordings, and to critically inspect the accuracy of the interpretations of the results based on the neurophysiological ground. It is hoped that this brief overview of anatomical and physiological presumptions and their relation to theoretical paradigms will help clarify some particular points of interest in current trends in brain science, and may provoke further reflections on how certain or uncertain it is to conceptualise brain function based on these theoretical frameworks, if the physiological and experimental constraints are not as accurate as the models prescribe.
Keywords :
Synchrony , neurons , Neurophysics , Attractors , Chaos , Nonlinear dynamics
Journal title :
Physica D Nonlinear Phenomena
Serial Year :
2005
Journal title :
Physica D Nonlinear Phenomena
Record number :
1726340
Link To Document :
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