Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:A4L-D
Session:
Number:A4L-D-3
Emergenet Oscillatory Activities of Plastic Neural Networks
Ryosuke Hosaka,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
Regularly spiking neurons are classified into two categories, Class I and Class II, by their firing proper- ties for constant inputs. To investigate how the firing prop- erties of single neurons affect to ensemble rhythmic activ- ities in neural networks, we constructed different types of neural networks whose excitatory neurons are the Class I neurons or the Class II neurons. The networks were driven by random inputs and developed with STDP learning. As a result, the Class I and the Class II neural networks gener- ate different types of rhythmic activities: the Class I neural network generates slow rhythmic activities, and the Class II neural network generates fast rhythmic activities.