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Neural avalanches at the edge-of-chaos?


Kanders, K; Stoop, R (2016). Neural avalanches at the edge-of-chaos? In: NOLTA 2016: International Symposium on Nonlinear Theory and Its Applications, Yugawara, 27 November 2016 - 30 November 2016, 493-496.

Abstract

Does the brain operate at criticality, to optimize neural computation? Literature uses different fingerprints of criticality in neural networks, leaving the relationship between them mostly unclear. Here, we compare two specific signatures of criticality, and ask whether they refer to observables at the same critical point, or to two differing phase transitions. Using a recurrent spiking neural network, we demonstrate that avalanche criticality does not necessarily lie at edge-of-chaos.

Abstract

Does the brain operate at criticality, to optimize neural computation? Literature uses different fingerprints of criticality in neural networks, leaving the relationship between them mostly unclear. Here, we compare two specific signatures of criticality, and ask whether they refer to observables at the same critical point, or to two differing phase transitions. Using a recurrent spiking neural network, we demonstrate that avalanche criticality does not necessarily lie at edge-of-chaos.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:30 November 2016
Deposited On:23 Feb 2018 10:17
Last Modified:13 Apr 2018 11:37
Publisher:Proceedings of the 2016 International Symposium on Nonlinear Theory and its Applications (NOLTA)
Series Name:Proceedings of the 2016 International Symposium on Nonlinear Theory and its Applications (NOLTA2016)
Number of Pages:4
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.ieice.org/nolta/symposium/archive/2016/nolta16_toc.pdf

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