Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dagmara Panas"'
Autor:
Dagmara Panas, Urszula Malinowska, Tadeusz Piotrowski, Jarosław Żygierewicz, Piotr Suffczyński
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e59318 (2013)
Spindles - a hallmark of stage II sleep - are a transient oscillatory phenomenon in the EEG believed to reflect thalamocortical activity contributing to unresponsiveness during sleep. Currently spindles are often classified into two classes: fast spi
Externí odkaz:
https://doaj.org/article/a323e5972c4f455f8f85e7b20ed12789
Publikováno v:
BMC Neuroscience
Panas, D, Maccione, A, Berdondini, L & Hennig, M 2011, ' What can MaxEnt reveal about high-density recordings and what can high-density recordings reveal about MaxEnt? ' vol. 12, no. Supplement 1, P146 . DOI: 10.1186/1471-2202-12-S1-P146
BMC Neuroscience, Vol 12, Iss Suppl 1, p P146 (2011)
Panas, D, Maccione, A, Berdondini, L & Hennig, M 2011, ' What can MaxEnt reveal about high-density recordings and what can high-density recordings reveal about MaxEnt? ' vol. 12, no. Supplement 1, P146 . DOI: 10.1186/1471-2202-12-S1-P146
BMC Neuroscience, Vol 12, Iss Suppl 1, p P146 (2011)
Recent advances in neural recording techniques open exciting possibilities of better understanding whole populations of neurons. Devices such as APS MEA (Active Pixel Sensor Microelectrode Array) [1,2] allow for simultaneous recordings from 4096 chan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b019be215803f284e652efa6909c33c6
http://europepmc.org/articles/PMC3240241
http://europepmc.org/articles/PMC3240241
Publikováno v:
BMC Neuroscience
Panas, D, Maccione, A, Berdondini, L & Hennig, M H 2013, ' Homeostasis in large networks of neurons through the Ising model-do higher order interactions matter? ' vol. 14, no. Suppl 1, pp. P166 . DOI: 10.1186/1471-2202-14-S1-P166
Panas, D, Maccione, A, Berdondini, L & Hennig, M H 2013, ' Homeostasis in large networks of neurons through the Ising model-do higher order interactions matter? ' vol. 14, no. Suppl 1, pp. P166 . DOI: 10.1186/1471-2202-14-S1-P166
Homeostatic activity in large networks of neurons is a relatively scantly explored area of neuroscience, both on experimental and computational level [1]. With recent advance in recording techniques, the lack of experimental data is gradually ceasing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::442f0700bbb525ae6d524e15768ae50e