title: Weak signal propagation through noisy feedforward neuronal networks.
abstract: We determine under which conditions the propagation of weak periodic signals through a feedforward Hodgkin-Huxley neuronal network is optimal. We find that successive neuronal layers are able to amplify weak signals introduced to the neurons forming the first layer only above a certain intensity of intrinsic noise. Furthermore, we show that as low as 4% of all possible interlayer links are sufficient for an optimal propagation of weak signals to great depths of the feedforward neuronal network, provided the signal frequency and the intensity of intrinsic noise are appropriately adjusted.
authors.affiliation: Department of Electrical and Electronics Engineering, Engineering Faculty, Zonguldak Karaelmas University, Zonguldak, Turkey. mahmutozer2002@yahoo.com
authors.forename: Mahmut
authors.initials: M
authors.lastname: Ozer
authors.forename: Matjaz
authors.initials: M
authors.lastname: Perc
authors.forename: Muhammet
authors.initials: M
authors.lastname: Uzuntarla
authors.forename: Etem
authors.initials: E
authors.lastname: Koklukaya
mesh_terms: D000465:Algorithms; D006801:Humans; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology; D010507:Periodicity; D013569:Synapses / Q000502:physiology; D009435:Synaptic Transmission