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- W46392023 abstract "It was well known that brain functioning highly related to oscillatory activity. For example, human EEG recording revealed that oscillatory activity were found in many recording cites and such the oscillations often show the frequency modulation depending on the internal state of brain such as attention or awaking level. At microscopic level, oscillatory background fluctuations were observed in the membrane potential of neurons. Furthermore, it was also experimentally revealed that membrane potential of some neurons shows subthreshold resonance for specific frequency range of oscillatory inputs. Such a resonance property in individual neurons has been examined, however, the dynamics and learning property of network consisting of the subthreshold resonator is still unknown. Here, we will present the network simulation of the neurons with several types of ion channels which lead to subthreshold resonance. As a result, we will show how the network responds to external inputs under the oscillatory background inputs and how the network connectivity is modified through the spike-timing-dependent plasticity that is a fundamental process of learning and memory formation in brain." @default.
- W46392023 created "2016-06-24" @default.
- W46392023 creator A5012146090 @default.
- W46392023 date "2013-01-01" @default.
- W46392023 modified "2023-09-27" @default.
- W46392023 title "Network dynamics of the neurons with the subthreshold membrane resonatorance" @default.
- W46392023 cites W1486852018 @default.
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- W46392023 hasPublicationYear "2013" @default.
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