Statistika su SPSS psichologiniuose tyrimuose: mokomoji knyga R Vaitkevičius, A Saudargienė Kaunas: Vytauto Didžiojo universitetas, 2006 | 544 | 2006 |
Metabolic syndrome, major depression, generalized anxiety disorder, and ten-year all-cause and cardiovascular mortality in middle aged and elderly patients J Butnoriene, A Bunevicius, A Saudargiene, CB Nemeroff, A Norkus, ... International Journal of Cardiology 190, 360-366, 2015 | 103 | 2015 |
Impulsivity mediates associations between problematic internet use, anxiety, and depressive symptoms in students: a cross-sectional COVID-19 study J Gecaite-Stonciene, A Saudargiene, A Pranckeviciene, V Liaugaudaite, ... Frontiers in psychiatry 12, 634464, 2021 | 91 | 2021 |
How the shape of pre-and postsynaptic signals can influence STDP: a biophysical model A Saudargiene, B Porr, F Wörgötter Neural Computation 16 (3), 595-625, 2004 | 88 | 2004 |
Psichologinių tyrimų duomenų analizė R Vaitkevičius, A Saudargienė Vytauto Didžiojo universiteto leidykla, 2010 | 72 | 2010 |
Validation of the patient health questionnaire-9 and the generalized anxiety disorder-7 in Lithuanian student sample A Pranckeviciene, A Saudargiene, J Gecaite-Stonciene, V Liaugaudaite, ... Plos one 17 (1), e0263027, 2022 | 57 | 2022 |
Astrocyte-mediated spike-timing-dependent long-term depression modulates synaptic properties in the developing cortex T Manninen, A Saudargiene, ML Linne PLoS computational biology 16 (11), e1008360, 2020 | 28 | 2020 |
A computational study on plasticity during theta cycles at S chaffer collateral synapses on CA1 pyramidal cells in the hippocampus A Saudargiene, S Cobb, BP Graham Hippocampus 25 (2), 208-218, 2015 | 26 | 2015 |
Does presence of metabolic syndrome impact anxiety and depressive disorder screening results in middle aged and elderly individuals? A population based study J Butnoriene, V Steibliene, A Saudargiene, A Bunevicius BMC psychiatry 18, 1-10, 2018 | 24 | 2018 |
Structures of the covariance matrices in the classifier design Š Raudys, A Saudargiene Advances in Pattern Recognition: Joint IAPR International Workshops SSPR'98 …, 1998 | 20 | 1998 |
Analytical solution of spike-timing dependent plasticity based on synaptic biophysics B Porr, A Saudargiene, F Wörgötter Advances in neural information processing systems 16, 2003 | 19 | 2003 |
Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticity A Saudargiene, B Porr, F Wörgötter Biological cybernetics 92 (2), 128-138, 2005 | 18 | 2005 |
First-order tree-type dependence between variables and classification performance S Raudys, A Saudargiene IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (2), 233-239, 2001 | 18 | 2001 |
Structurization of the covariance matrix by process type and block-diagonal models in the classifier design A Saudargienė Informatica 10 (2), 245-269, 1999 | 18 | 1999 |
Neuron–glia interactions and brain circuits ML Linne, J Aćimović, A Saudargiene, T Manninen Computational modelling of the brain: modelling approaches to cells …, 2022 | 16 | 2022 |
Common genetic variations of deiodinase genes and prognosis of brain tumor patients A Bunevicius, ER Laws, A Saudargiene, A Tamasauskas, G Iervasi, ... Endocrine 66, 563-572, 2019 | 15 | 2019 |
Synaptic modifications depend on synapse location and activity: a biophysical model of STDP A Saudargiene, B Porr, F Wörgötter Biosystems 79 (1-3), 3-10, 2005 | 14 | 2005 |
Inhibitory control of site-specific synaptic plasticity in a model CA1 pyramidal neuron A Saudargienė, BP Graham Biosystems 130, 37-50, 2015 | 11 | 2015 |
The unexplored territory of neural models: Potential guides for exploring the function of metabotropic neuromodulation ME Hasselmo, AS Alexander, A Hoyland, JC Robinson, MJ Bezaire, ... Neuroscience 456, 143-158, 2021 | 10 | 2021 |
Statistika su SPSS psichologiniuose tyrimuose A Saudargienė, R Vaitkevičius Kaunas: Vytauto Didţiojo Universiteto leidykla, 2006 | 10 | 2006 |