D
Danko Nikolić
Researcher at Max Planck Society
Publications - 68
Citations - 5783
Danko Nikolić is an academic researcher from Max Planck Society. The author has contributed to research in topics: Visual cortex & Stimulus (physiology). The author has an hindex of 29, co-authored 67 publications receiving 5309 citations. Previous affiliations of Danko Nikolić include Teradata & Frankfurt Institute for Advanced Studies.
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The gamma cycle
TL;DR: Evidence is reviewed suggesting that the resulting rhythmic network inhibition interacts with excitatory input to pyramidal cells such that the more excited cells fire earlier in the gamma cycle, enabling transmission and read out of amplitude information within a single gamma cycle without requiring rate integration.
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Neural Synchrony in Cortical Networks: History, Concept and Current Status
Peter J. Uhlhaas,Gordon Pipa,Bruss Lima,Lucia Melloni,Sergio Neuenschwander,Danko Nikolić,Wolf Singer +6 more
TL;DR: Evidence is presented that indicates that in addition to supporting conscious cognition, neural synchrony is abnormal in major brain disorders, such as schizophrenia and autism spectrum disorders.
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The Role of Oscillations and Synchrony in Cortical Networks and Their Putative Relevance for the Pathophysiology of Schizophrenia
Peter J. Uhlhaas,Corinna Haenschel,Corinna Haenschel,Danko Nikolić,Danko Nikolić,Wolf Singer,Wolf Singer,Wolf Singer +7 more
TL;DR: The evidence on the role of neural oscillations during normal brain functioning and their relationship to cognitive processes is summarized and studies suggest that schizophrenia involves abnormal oscillations and synchrony that are related to cognitive dysfunctions and some of the symptoms of the disorder.
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Spike avalanches in vivo suggest a driven, slightly subcritical brain state
Viola Priesemann,Michael Wibral,Michael Wibral,Mario Valderrama,Robert Pröpper,Michel Le Van Quyen,Theo Geisel,Jochen Triesch,Danko Nikolić,Matthias H. J. Munk +9 more
TL;DR: The results suggest that neural activity in vivo shows a mélange of avalanches, and not temporally separated ones, and that their global activity propagation can be approximated by the principle that one spike on average triggers a little less than one spike in the next step.
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A Small World of Neuronal Synchrony
TL;DR: In this article, the Ising model was applied to reconstruct the functional networks of cortical neurons using correlation analysis to identify functional connectivity, and the results suggest that cortical networks are optimized for the coexistence of local and global computations.