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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Propomos um novo método para análise de atividades neuronais relacionadas ao tempo. Este método pode ser utilizado para a detecção de padrões de disparo na presença de ruído, o que é inevitável em experimentos fisiológicos. Este método também é útil para estimativa de densidade de probabilidade, pois permite a quantificação precisa de informações a partir de uma pequena quantidade de dados.
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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
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@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},}
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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 -