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020 _a9783030209650
024 7 _a10.1007/978-3-030-20965-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQP396
_b2019 EB
245 0 4 _aThe Functional Role of Critical Dynamics in Neural Systems
_cedited by Nergis Tomen, J. Michael Herrmann, Udo Ernst.
250 _a1st ed. 2019.
264 1 _aCham, Switzerland
_bSpringer International Publishing
_c2019
300 _a1 recurso en línea (XX, 287 páginas)
_b 122 ilustraciones, 99 ilustraciones a color
336 _aTexto
_btxt
_2rdacontent
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aSpringer Series on Bio- and Neurosystems
_x2520-8535
_v11
490 0 _aBiomedical and Life Sciences (Springer-11642)
505 0 _aAvalanche dynamics and correlations in neural systems -- Playing at the edge of criticality: Expanded whole-brain repertoire of connectome-harmonics -- Complexity of network connectivity promotes self-organized criticality in cortical ensembles -- From neurons to networks: critical slowing down governs information processing across vigilance states -- The challenge of taming a latching network near criticality -- Fading memory, plasticity, and criticality in recurrent networks -- Homeostatic structural plasticity can build critical networks -- Investigating Linear Stability and Criticality in Local Cortical Circuits from Multi-Unit Activity -- Optimal Readout of Neural Activity Near Criticality -- Critical behavior and memory function in a model of spiking neurons with a reservoir of spatio-temporal patterns -- Assessing criticality in experiments -- The role of criticality in flexible visual information processing -- Statistical models of neural activity, criticality, and Zipf's law. .
520 3 _aThis 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.
650 7 _2embne
_aSistema nervioso central
_9144873
700 1 _aTomen, Nergis
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHerrmann, J. Michael
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aErnst, Udo
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030209643
776 0 8 _iPrinted edition:
_z9783030209667
776 0 8 _iPrinted edition:
_z9783030209674
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-20965-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b01/2020
_ek
_zSI