Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Morteza Moazami Goudarzi"'
Across the cortical hierarchy, single neurons are characterized by differences in the extent to which they can sustain their firing rate over time (i.e., their “intrinsic timescale”). Previous studies have demonstrated that neurons in a given bra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70342411250dbce71e34763d2f836dfc
https://doi.org/10.1101/2023.01.01.522410
https://doi.org/10.1101/2023.01.01.522410
Autor:
Elaheh Imani, Setayesh Radkani, Alireza Hashemi, Ahad Harati, Hamidreza Pourreza, Morteza Moazami Goudarzi
The gradual accumulation of noisy evidence for or against options is the main step in the perceptual decision-making process. Using brain-wide electrophysiological recording in mice (Steinmetz et al., 2019), we examined neural correlates of evidence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d749f2a448f080f66943044d15489d01
https://doi.org/10.1101/2022.09.17.506014
https://doi.org/10.1101/2022.09.17.506014
Perceptual decision making, as a process of detecting and categorizing information, has been studied extensively over the last two decades. In this study, we investigated the neural characterization of the whole decision-making process by discovering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edeb23763ca4fb290086ae69485e6d30
https://doi.org/10.1101/2020.05.23.104620
https://doi.org/10.1101/2020.05.23.104620
Publikováno v:
Neuropsychologia. 155
Perceptual decision making - the process of detecting and categorizing information - has been studied extensively over the last two decades. In this study, we aim to bridge the gap between neural and behavioral representations of the perceptual decis
Publikováno v:
Brain Imaging and Behavior
Chronic neuropathic pain may require a neurosurgical treatment but for reasons that have not been fully explored yet a significant number of patients do not benefit from the intervention. We compared the resting EEG of 15 healthy controls to the EEG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feaae310ea72338d6e40201079321f3d
http://doc.rero.ch/record/311723/files/11682_2011_Article_9135.pdf
http://doc.rero.ch/record/311723/files/11682_2011_Article_9135.pdf
Autor:
Lars Michels, Morteza Moazami-Goudarzi, Daniel Jeanmonod, Johannes Sarnthein, Renata Moukhtieva
Publikováno v:
NEUROIMAGE
Oscillatory and coherent EEG activity is increasingly recognized as a fundamental hallmark of cortical integrative functions. We aimed to study deviations from the norm of different resting EEG parameters in Parkinson's disease (PD) patients. We comp
Publikováno v:
BMC Neuroscience
BMC Neuroscience, Vol 11, Iss 1, p 40 (2010)
BMC Neuroscience, Vol 11, Iss 1, p 40 (2010)
Background The physiopathological mechanism underlying the tinnitus phenomenon is still the subject of an ongoing debate. Since oscillatory EEG activity is increasingly recognized as a fundamental hallmark of cortical integrative functions, this stud
In this paper we are to find the optimum multiwavelet for compression of electrocardiogram (ECG) signals and then, selecting it for using with SPIHT codec. At present, it is not well known which multiwavelet is the best choice for optimum compression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82708640c0a4db6a6d1978a5fcf8d949
Publikováno v:
NEUROIMAGE
In the literature on EEG during working memory (WM) the role of alpha power (8 13 Hz) during WM retention has remained unclear. We recorded EEG while 18 subjects retained sets of consonants in memory for 3 s; setsize ( ss4 ss6 ss8) determines memory
In this paper we introduce an effective ECG compression algorithm based on two dimensional multiwavelet transform. Multiwavelets offer simultaneous orthogonality, symmetry and short support, which is not possible with scalar two-channel wavelet syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d3ef1e223c0ff24e6795c3f6a27b22b