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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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