I know you must be bored by now,
but keep on reading because:

   People often find it strange to think of mathematical and
human behavior at the same time.  However,
•Neurophysiology is the physiology of the nervous system and is the most
quantified branch of the biological and medical sciences. Also, it
involves some of the most accurate experimental techniques, e.g., the
patch clamp. Neurons and glial cells, including their processes, make up
the central and peripheral nervous systems. Neurons are known for their
highly complex electrical properties that give rise to a rich variety of
dynamical phenomena that have challenged mathematicians for decades. It
is also the area where colloborative efforts between experimentalists,
mathematicians, and other theorists have had the greatest impact, as
evidenced by the pioneering works of Hodgkin and Huxley on the
mathematical description of the electrical excitation of the squid giant
nerve and of Wilfrid Rall on the electrical properties of dendrites.
Mathematical and computational approaches have become two of the
favorite methods of analysis in most research areas of neuroscience
which range from the study of Ca2+ buffers and channel gating dynamics
at the molecular level to the study of the properties of large scale
neural networks and artificial intelligence. This session will gather
some of the outstanding leaders in this extremely dynamic research field
and present a picture of the past, the present, and future of this
research field and, most importantly, lay out some of the challenging
problems facing us now and in the near future.
•Cardiology is the study of the heart and its functions and has become a
very active area of research in the medical sciences. A great deal of
the electrophysiology and muscle mechanics of the heart is known, and a
variety of models have been proposed to increase our understanding of
cardiac dynamics. Mathematical modelling, mathematical analysis, and
computational methods have helped to reveal the inner workings of the
heart, both electrically and mechanically. Periodic rhythms characterize
the normal heart, whereas aperiodic and complex oscillations
(arrhythmias) characterize the diseased heart. In this session, we bring
together some of the leaders in modelling these phenomena from different
points of view. Some of the specific issues deal with complex electrical
activity in cardiac cells, effects of electrical coupling of cells by
gap junctions on entrainment and synchronicity, development of
complicated wave fronts, dynamics of myocardial tissue, correlating
electrocardiograms with electrical activity, and drug effects.

•Endocrinology is the study of gland cells, the secretion of hormones by
these cells, and the physiological action of hormones. It is a rapidly
expanding field with changing concepts and relatively new to
mathematical modellers. Therefore, there is a real need for more
collaborative research between experimentalists, modellers, and
mathematicians. Hormones are highly potent chemicals that act at low
doses and control almost all aspects of our lives including growth,
development, metabolism, reproduction, stress response, etc. It now is
known that all hormones are secreted in a pulsatile manner with multiple
periodicities ranging from minutes to a month or longer. Of great
importance is the ever increasing evidence that these rhythmic patterns
are indispensable in the physiological function of these hormonal
signals. The understanding of the origin, dynamics, and mechanisms of
these hormonal rhythms is important for clinical treatment of various
endocrine diseases and in designing novel drug delivery regimes to
achieve maximum pharmacological effects. The rhythmogenesis of these
hormonal signals also poses challenging mathematical problems of
synchrony in coupled oscillators and the emergence of rhythms in a
network of coupled cells. This session will bring some of the leading
researchers in this area together to give an overview of some of their
recent research activities.

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