Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ivan Zubarev"'
Autor:
Diego Milardovich, Victor H. Souza, Ivan Zubarev, Sergei Tugin, Jaakko O. Nieminen, Claudia Bigoni, Friedhelm C. Hummel, Juuso T. Korhonen, Dogu B. Aydogan, Pantelis Lioumis, Nima Taherinejad, Tibor Grasser, Risto J. Ilmoniemi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The analysis of motor evoked potentials (MEPs) generated by transcranial magnetic stimulation (TMS) is crucial in research and clinical medical practice. MEPs are characterized by their latency and the treatment of a single patient may requi
Externí odkaz:
https://doaj.org/article/dbf5ca0facff411aa7a813a0f33984cd
Publikováno v:
SoftwareX, Vol 17, Iss , Pp 100951- (2022)
MNEflow is a Python package for applying deep neural networks to multichannel electroencephalograpic (EEG) and magnetoencephalographic (MEG) measurements. This software comprises Tensorflow-based implementations of several popular convolutional neura
Externí odkaz:
https://doaj.org/article/c7a3e1632a3e488c987ba8cd329a1743
Publikováno v:
Bio-Protocol, Vol 11, Iss 12 (2021)
Characterization of an electrically active cell, such as a neuron, demands measurement of its electrical properties. Due to differences in gene activation, location, innervation patterns, and functions, the millions of neurons in the mammalian brain
Externí odkaz:
https://doaj.org/article/58afbc695bef4fa482242198b2268f77
Autor:
Elina Nagaeva, Ivan Zubarev, Carolina Bengtsson Gonzales, Mikko Forss, Kasra Nikouei, Elena de Miguel, Lauri Elsilä, Anni-Maija Linden, Jens Hjerling-Leffler, George J Augustine, Esa R Korpi
Publikováno v:
eLife, Vol 9 (2020)
The cellular architecture of the ventral tegmental area (VTA), the main hub of the brain reward system, remains only partially characterized. To extend the characterization to inhibitory neurons, we have identified three distinct subtypes of somatost
Externí odkaz:
https://doaj.org/article/52b46d9c58a14a8587f7ac245893a9d1
Publikováno v:
Bio Protoc
Characterization of an electrically active cell, such as a neuron, demands measurement of its electrical properties. Due to differences in gene activation, location, innervation patterns, and functions, the millions of neurons in the mammalian brain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c0ccd2f8d5b29b4f32cc31cb465455f
https://europepmc.org/articles/PMC8260269/
https://europepmc.org/articles/PMC8260269/
Autor:
Alexei Ossadtchi, Aleksei Gorin, Vasily Klucharev, V V Moiseeva, Anna Shestakova, Ivan Zubarev
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Scientific Reports
Scientific Reports
People often change their beliefs by succumbing to an opinion of others. Such changes are often referred to as effects of social influence. While some previous studies have focused on the reinforcement learning mechanisms of social influence or on it
Autor:
Vasily Klucharev, Ivan Zubarev, V V Moiseeva, Alexey Gorin, Alexei Ossadtchi, Anna Shestakova
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
People often change their beliefs by succumbing to an opinion of others. Such changes are often referred to as effects of social influence. While some previous studies have focused on the reinforcement learning mechanisms of social influence or on it
Autor:
Mikko Forss, Elina I. Nagaeva, Anni-Maija Linden, Jens Hjerling-Leffler, Elena de Miguel, Carolina Bengtsson Gonzales, Kasra Nikouei, Esa R. Korpi, Ivan Zubarev, Lauri Elsilä, George J. Augustine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3437b92cc4198abaac20f3df5ff1249
https://doi.org/10.7554/elife.59328.sa2
https://doi.org/10.7554/elife.59328.sa2
Autor:
Ivan Zubarev, Lauri Parkkonen
Publikováno v:
Human Brain Mapping
Adaptive behavior relies on the ability of the brain to form predictions and monitor action outcomes. In the human brain, the same system is thought to monitor action outcomes regardless of whether the information originates from internal (e.g., prop
Publikováno v:
NeuroImage