Using phase response curves to predict synchronization times for neural circuits
نویسندگان
چکیده
منابع مشابه
Using Phase Response Curves to Understand Neuronal Synchronization and Sleep
" The important thing is not to stop questioning. Curiosity has its own reason for existing. One cannot help but be in awe when he contemplates the mysteries of eternity, of life, of the marvelous structure of reality. It is enough if one tries merely to comprehend a little of this mystery every day. Never lose a holy curiosity. " ∼ Einstein To Chrissie: I never would have made it to this point...
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We review the principal assumptions underlying the application of phase-response curves (PRCs) to synchronization in neuronal networks. The PRC measures how much a given synaptic input perturbs spike timing in a neural oscillator. Among other applications, PRCs make explicit predictions about whether a given network of interconnected neurons will synchronize, as is often observed in cortical st...
متن کاملusing neural networks to predict road roughness
when a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. this paper proposes a method to predict road roughness based on vertical acceleration using neural networks. to this end, first, the suspension system and road roughness are expressed mathematically. then, the suspension system model will identified using neural networks. the results of this step sho...
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ژورنال
عنوان ژورنال: BMC Neuroscience
سال: 2015
ISSN: 1471-2202
DOI: 10.1186/1471-2202-16-s1-p39