Synaptic noise facilitates the emergence of self-organized criticality in the Caenorhabditis elegans neuronal network
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Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor and Francis Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Avalanches with power-law distributed size parameters have been observed in neuronal networks. This observation might be a manifestation of self-organized criticality (SOC). Yet, the physiological mechanisms of this behaviour are currently unknown. Describing synaptic noise as transmission failures mainly originating from the probabilistic nature of neurotransmitter release, this study investigates the potential of this noise as a mechanism for driving the functional architecture of the neuronal networks towards SOC. To this end, a simple finite state neuron model, with activity dependent and synapse specific failure probabilities, was built based on the known anatomical connectivity data of the nematode Ceanorhabditis elegans. Beginning from random values, it was observed that synaptic noise levels picked out a set of synapses and consequently an active subnetwork that generates power-law distributed neuronal avalanches. The findings of this study bring up the possibility that synaptic failures might be a component of physiological processes underlying SOC in neuronal networks. © 2018, © 2018 Taylor & Francis.
Açıklama
Anahtar Kelimeler
Caenorhabditis elegans, criticality, network, neuron, noise, Self organization, synapse, anatomy and histology, animal, biological model, Caenorhabditis elegans, cytology, nerve cell, nerve cell network, nervous system, nonlinear system, physiology, probability, synapse, Animals, Caenorhabditis elegans, Models, Neurological, Nerve Net, Nervous System, Neurons, Nonlinear Dynamics, Probability, Synapses
Kaynak
Network: Computation in Neural Systems
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
29
Sayı
45383
