Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jarno E. Mikkonen"'
Autor:
Fikret E. Kapucu, Inkeri Välkki, Jarno E. Mikkonen, Chiara Leone, Kerstin Lenk, Jarno M. A. Tanskanen, Jari A. K. Hyttinen
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Externí odkaz:
https://doaj.org/article/008c470f8dfd432e8bc6296651c19a9c
Publikováno v:
Frontiers in Computational Neuroscience, Vol 11 (2017)
Neuronal networks are often characterized by their spiking and bursting statistics. Previously, we introduced an adaptive burst analysis method which enhances the analysis power for neuronal networks with highly varying firing dynamics. The adaptatio
Externí odkaz:
https://doaj.org/article/581c26f3220548a3aa6cf5435c3395c5
Autor:
Markku Penttonen, Anni Lehikoinen, Timo Ahonen, Jukka Kaartinen, Noona Kiuru, Jarno E. Mikkonen, Enna Ranta-Nilkku
Publikováno v:
Learning and Individual Differences. 69:116-128
This study examined the role of adolescents' (n = 190) temperament in their emotional reactions in achievement situations. Adolescents rated their temperament (i.e., surgency/extraversion, negative affectivity, effortful control) and completed achiev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de549d92db3a97e9607c83d23341826a
https://doi.org/10.1016/j.lindif.2018.11.004
https://doi.org/10.1016/j.lindif.2018.11.004
Autor:
Fikret Emre eKapucu, Jarno M. A. Tanskanen, Jarno E Mikkonen, Laura eYlä-Outinen, Susanna eNarkilahti, Jari A. K. Hyttinen
Publikováno v:
Frontiers in Computational Neuroscience, Vol 6 (2012)
In this paper we propose a firing statistics based neuronal network burst detection algorithm for neuronal networks exhibiting highly variable action potential dynamics. Electrical activity of neuronal networks is generally analyzed by the occurrence
Externí odkaz:
https://doaj.org/article/051fd46642e74e2e833e17e28c293877
Publikováno v:
EMBC
In this paper, we propose employing entropy values to quantify action potential bursts in electrophysiological measurements from the brain and neuronal cultures. Conventionally in the electrophysiological signal analysis, bursts are quantified by mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920c6188917392d94fbdbde1e2fdbfcc
https://pubmed.ncbi.nlm.nih.gov/26737350
https://pubmed.ncbi.nlm.nih.gov/26737350
Publikováno v:
EMBC
In this paper, we study neuronal network analysis based on microelectrode measurements. We search for potential relations between time correlated changes in spectral distributions and synchrony for neuronal network activity. Spectral distribution is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a67e6122d1d4b3b7d889e3f59a377dda
https://doi.org/10.1109/EMBC.2016.7591017
https://doi.org/10.1109/EMBC.2016.7591017
Autor:
Jarno E. Mikkonen, Heli Skottman, Susanna Narkilahti, Pasi Kallio, Joose Kreutzer, Laura Ylä-Outinen, Tiina Kaarela, Paula Kärnä
Publikováno v:
Journal of Bionic Engineering. 9:1-10
Structured poly(dimethylsiloxane) (PDMS) chambers were designed and fabricated to enhance the signaling of human Embryonic Stem Cell (hESC) – derived neuronal networks on Microelectrode Array (MEA) platforms. The structured PDMS chambers enable cel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cda33bf5604ac4de28b2015927018af
https://doi.org/10.1016/s1672-6529(11)60091-7
https://doi.org/10.1016/s1672-6529(11)60091-7
Autor:
Jarno E. Mikkonen, Riikka S. Lappalainen, Teemu J. Heikkilä, Jari Hyttinen, Laura Ylä-Outinen, Riitta Suuronen, Jarno M. A. Tanskanen, Susanna Narkilahti, Heli Skottman
Publikováno v:
Experimental Neurology. 218:109-116
The production of functional human embryonic stem cell (hESC)-derived neuronal cells is critical for the application of hESCs in treating neurodegenerative disorders. To study the potential functionality of hESC-derived neurons, we cultured and monit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb25bade707d6b61f036578428e49b58
https://doi.org/10.1016/j.expneurol.2009.04.011
https://doi.org/10.1016/j.expneurol.2009.04.011
Publikováno v:
Learningmemory (Cold Spring Harbor, N.Y.). 22(6)
Hippocampal θ (3–12 Hz) oscillations are implicated in learning and memory, but their functional role remains unclear. We studied the effect of the phase of local θ oscillation on hippocampal responses to a neutral conditioned stimulus (CS) and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::734ab0d4580b4c35014f4c81921e8eb4
https://pubmed.ncbi.nlm.nih.gov/25979993
https://pubmed.ncbi.nlm.nih.gov/25979993
Publikováno v:
NeuroImage. 31:1222-1227
Oscillations at theta (3–8 Hz) and gamma (30–80 Hz) frequencies co-occur during arousal, exploration, and rapid eye movement sleep and relate to information processing underlying learning and memory within neuronal networks. In hippocampus, gamma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a64f8b97ac62462b2af2b1088db3bb
https://doi.org/10.1016/j.neuroimage.2006.01.007
https://doi.org/10.1016/j.neuroimage.2006.01.007