The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 시간과 관련된 신경 활동을 분석하기 위한 새로운 방법을 제안합니다. 이 방법은 생리학적 실험에서 불가피한 소음이 있는 환경에서 발사 패턴을 감지하는 데 사용할 수 있습니다. 이 방법은 적은 양의 데이터에서도 정확한 정보 정량화가 가능하기 때문에 확률밀도 추정에도 유용합니다.
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부
Toshihiro IWAMOTO, Yasuhiko JIMBO, Kazuyuki AIHARA, "Extracting Temporal Firing Patterns of Neurons from Noisy Data" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 4, pp. 892-902, April 2002, doi: .
Abstract: We propose a novel method for analysis of time-related neuronal activities. This method can be used for the detection of firing patterns in the presence of noise, which is inevitable in physiological experiments. This method is also useful for probability density estimation, because it enables precise information quantification from a small amount of data.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_4_892/_p
부
@ARTICLE{e85-a_4_892,
author={Toshihiro IWAMOTO, Yasuhiko JIMBO, Kazuyuki AIHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Extracting Temporal Firing Patterns of Neurons from Noisy Data},
year={2002},
volume={E85-A},
number={4},
pages={892-902},
abstract={We propose a novel method for analysis of time-related neuronal activities. This method can be used for the detection of firing patterns in the presence of noise, which is inevitable in physiological experiments. This method is also useful for probability density estimation, because it enables precise information quantification from a small amount of data.},
keywords={},
doi={},
ISSN={},
month={April},}
부
TY - JOUR
TI - Extracting Temporal Firing Patterns of Neurons from Noisy Data
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 892
EP - 902
AU - Toshihiro IWAMOTO
AU - Yasuhiko JIMBO
AU - Kazuyuki AIHARA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2002
AB - We propose a novel method for analysis of time-related neuronal activities. This method can be used for the detection of firing patterns in the presence of noise, which is inevitable in physiological experiments. This method is also useful for probability density estimation, because it enables precise information quantification from a small amount of data.
ER -