High-order correlations of neuronal spontaneous activity signals
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2005
Authors
Destro, JB
Alves-Ribeiro, J
Batista-Alves, C
Roman-Campos, D
Ide, AN
Blesić, Suzana

Peixoto, N
Conference object (Published version)

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A statistical characterization of spontaneous neuronal activity signals is presented. The first set of these signals results from in vivo measurements of action potentials of invertebrate neurons; the second set was recorded from cultured neurons based on a multielectrode-array (MEA) acquisition system. The correlations of second-, third- and fourth- statistical orders of these time series were estimated and compared to each other. Our experimental results provide the basis for considering the probability density function of spontaneous activity as nongaussian, and we also conclude that most of signals associated with MEA electrodes present a high-order correlated behavior.
Source:
2nd International IEEE EMBS Conference on Neural Engineering, 2005, 340-343Publisher:
- IEEE, New York
DOI: 10.1109/CNE.2005.1419627
ISSN: 1948-3546
WoS: 000229610400092
Scopus: 2-s2.0-33744489318
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Institut za medicinska istraživanjaTY - CONF AU - Destro, JB AU - Alves-Ribeiro, J AU - Batista-Alves, C AU - Roman-Campos, D AU - Ide, AN AU - Blesić, Suzana AU - Peixoto, N PY - 2005 UR - http://rimi.imi.bg.ac.rs/handle/123456789/121 AB - A statistical characterization of spontaneous neuronal activity signals is presented. The first set of these signals results from in vivo measurements of action potentials of invertebrate neurons; the second set was recorded from cultured neurons based on a multielectrode-array (MEA) acquisition system. The correlations of second-, third- and fourth- statistical orders of these time series were estimated and compared to each other. Our experimental results provide the basis for considering the probability density function of spontaneous activity as nongaussian, and we also conclude that most of signals associated with MEA electrodes present a high-order correlated behavior. PB - IEEE, New York C3 - 2nd International IEEE EMBS Conference on Neural Engineering T1 - High-order correlations of neuronal spontaneous activity signals EP - 343 SP - 340 DO - 10.1109/CNE.2005.1419627 UR - conv_1665 ER -
@conference{ author = "Destro, JB and Alves-Ribeiro, J and Batista-Alves, C and Roman-Campos, D and Ide, AN and Blesić, Suzana and Peixoto, N", year = "2005", abstract = "A statistical characterization of spontaneous neuronal activity signals is presented. The first set of these signals results from in vivo measurements of action potentials of invertebrate neurons; the second set was recorded from cultured neurons based on a multielectrode-array (MEA) acquisition system. The correlations of second-, third- and fourth- statistical orders of these time series were estimated and compared to each other. Our experimental results provide the basis for considering the probability density function of spontaneous activity as nongaussian, and we also conclude that most of signals associated with MEA electrodes present a high-order correlated behavior.", publisher = "IEEE, New York", journal = "2nd International IEEE EMBS Conference on Neural Engineering", title = "High-order correlations of neuronal spontaneous activity signals", pages = "343-340", doi = "10.1109/CNE.2005.1419627", url = "conv_1665" }
Destro, J., Alves-Ribeiro, J., Batista-Alves, C., Roman-Campos, D., Ide, A., Blesić, S.,& Peixoto, N.. (2005). High-order correlations of neuronal spontaneous activity signals. in 2nd International IEEE EMBS Conference on Neural Engineering IEEE, New York., 340-343. https://doi.org/10.1109/CNE.2005.1419627 conv_1665
Destro J, Alves-Ribeiro J, Batista-Alves C, Roman-Campos D, Ide A, Blesić S, Peixoto N. High-order correlations of neuronal spontaneous activity signals. in 2nd International IEEE EMBS Conference on Neural Engineering. 2005;:340-343. doi:10.1109/CNE.2005.1419627 conv_1665 .
Destro, JB, Alves-Ribeiro, J, Batista-Alves, C, Roman-Campos, D, Ide, AN, Blesić, Suzana, Peixoto, N, "High-order correlations of neuronal spontaneous activity signals" in 2nd International IEEE EMBS Conference on Neural Engineering (2005):340-343, https://doi.org/10.1109/CNE.2005.1419627 ., conv_1665 .