An open question in biological neural networks is whether changes in firing modalities are mainly an individual network property or whether networks follow a joint pathway. For the early developmental period, our study focusing on a simple network class of excitatory and inhibitory neurons suggests the following answer: Networks with considerable variation of topology and dynamical parameters follow a universal firing paradigm that evolves as the overall connectivity strength and firing level increase, as seen in the process of network maturation. A simple macroscopic model reproduces the main features of the paradigm as a result of the competition between the fundamental dynamical system notions of synchronization vs chaos and explains why in simulations the paradigm is robust regarding differences in network topology and largely independent from the neuron model used. The presented findings reflect the first dozen days of dissociated neuronal in vitro cultures (upon following the developmental period bears similarly universal features but is characterized by the processes of neuronal facilitation and depression that do not require to be considered for the first developmental period).
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Universality in the firing of minicolumnar-type neural networks
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September 2019
Research Article|
September 09 2019
Universality in the firing of minicolumnar-type neural networks
Karlis Kanders;
Karlis Kanders
1
Institute of Neuroinformatics, University of Zurich and ETH Zurich
, 8057 Zurich, Switzerland
2
Institute for Building Materials, ETH Zurich
, 8092 Zurich, Switzerland
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Norbert Stoop;
Norbert Stoop
2
Institute for Building Materials, ETH Zurich
, 8092 Zurich, Switzerland
3
Department of Mathematics, Massachusetts Institute of Technology
, Cambridge, Massachusetts 02139-4307, USA
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Ruedi Stoop
Ruedi Stoop
a)
1
Institute of Neuroinformatics, University of Zurich and ETH Zurich
, 8057 Zurich, Switzerland
2
Institute for Building Materials, ETH Zurich
, 8092 Zurich, Switzerland
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a)
Author to whom correspondence should be addressed: ruedi@ini.phys.ethz.ch
Chaos 29, 093109 (2019)
Article history
Received:
May 30 2019
Accepted:
August 19 2019
Citation
Karlis Kanders, Norbert Stoop, Ruedi Stoop; Universality in the firing of minicolumnar-type neural networks. Chaos 1 September 2019; 29 (9): 093109. https://doi.org/10.1063/1.5111867
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