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This title was first published in 1979:
This title was first published in 1979: Hong Kong's successful
transformation from traditional entrepot economy into a major
industrial city-state and an important financial centre in the fr
East has often been acclaimed as one of the 'economic miracles' in
the history of the modern world. Within the thirty years, the per
capita income has increased about 13 times (reaching nearly US $
3,000 in 1978) and ranked third in the entire Far East region,
second only to Japan and Singapore, while Hong Kong's total exports
multiplied 11 times ranking 20th in the whole world. in A
collection of essays exploring the economic growth and structural
change, including features if the Chinese family; population and
housing problems; a study of material gains and impact on
life-satisfaction.
This book offers a timely overview of theories and methods
developed by an authoritative group of researchers to understand
the link between criticality and brain functioning. Cortical
information processing in particular and brain function in general
rely heavily on the collective dynamics of neurons and networks
distributed over many brain areas. A key concept for characterizing
and understanding brain dynamics is the idea that networks operate
near a critical state, which offers several potential benefits for
computation and information processing. However, there is still a
large gap between research on criticality and understanding brain
function. For example, cortical networks are not homogeneous but
highly structured, they are not in a state of spontaneous
activation but strongly driven by changing external stimuli, and
they process information with respect to behavioral goals. So far
the questions relating to how critical dynamics may support
computation in this complex setting, and whether they can
outperform other information processing schemes remain open. Based
on the workshop "Dynamical Network States, Criticality and Cortical
Function", held in March 2017 at the Hanse Institute for Advanced
Studies (HWK) in Delmenhorst, Germany, the book provides readers
with extensive information on these topics, as well as tools and
ideas to answer the above-mentioned questions. It is meant for
physicists, computational and systems neuroscientists, and
biologists.
This book offers a timely overview of theories and methods
developed by an authoritative group of researchers to understand
the link between criticality and brain functioning. Cortical
information processing in particular and brain function in general
rely heavily on the collective dynamics of neurons and networks
distributed over many brain areas. A key concept for characterizing
and understanding brain dynamics is the idea that networks operate
near a critical state, which offers several potential benefits for
computation and information processing. However, there is still a
large gap between research on criticality and understanding brain
function. For example, cortical networks are not homogeneous but
highly structured, they are not in a state of spontaneous
activation but strongly driven by changing external stimuli, and
they process information with respect to behavioral goals. So far
the questions relating to how critical dynamics may support
computation in this complex setting, and whether they can
outperform other information processing schemes remain open. Based
on the workshop "Dynamical Network States, Criticality and Cortical
Function", held in March 2017 at the Hanse Institute for Advanced
Studies (HWK) in Delmenhorst, Germany, the book provides readers
with extensive information on these topics, as well as tools and
ideas to answer the above-mentioned questions. It is meant for
physicists, computational and systems neuroscientists, and
biologists.
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