INFORMATION MEASURES IN A SMALL NETWORK OF SPIKING NEURONS

• Giraudo Maria Teresa

  University of Torino

• Sacerdote Laura

  University of Torino

• Sirovich Roberta

  University of Torino

抄録

The information transmission among the elements of a small network of spiking neurons is studied using the normalized differential entropy and the Kullback Leibler distance information measures. The attention is devoted to the information content of the spiking activity of a reference neuron subject to excitatory and inhibitory stimuli coming from other elements of the considered network. The use of information measures allows to quantify the effects of the input contributions. The role of inhibition in the spiking activity of the reference neuron is enlighted and the effect of considering different distributions for the time events of the stimuli is discussed.

収録刊行物

• Scientiae Mathematicae Japonicae

  Scientiae Mathematicae Japonicae 67 (2), 191-204, 2008

  一般社団法人 国際数理科学協会

キーワード

• Normalized differential entropy
• Kullback-Leibler distance
• leaky integrate-and-fire model
• jump-diffusion process
• inhibition

詳細情報

• CRID: 1390283659857048576
• NII論文ID: 10021089407
• NII書誌ID: AA1150654X
• DOI: 10.32219/isms.67.2_191
• ISSN: 13460447
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可