| |
Kleiber M., Tworzymy uniwersytety przyszłości,
NAUKA, 2, 63-66, 2024 |  |
| |
Rowiński P.M., Burczyński T., Duszyński J., Rychard A., Uniwersytet badawczy, czyli…?,
NAUKA, 3, 35-56, 2017 | |
| |
Ebrahimi S., Hassanizadeh P., From Interaction to Independence: zkSNARKs for Transparent and Non-Interactive Remote Attestation,
NDSS, NETWORK AND DISTRIBUTED SYSTEM SECURITY (NDSS) SYMPOSIUM 2024, 2024-02-26/03-01, SAN DIEGO (US), 1-18, 2024 |  |
| |
Skłodowski R., Drdácký M., Skłodowski M., Identifying subsurface detachment defects by acoustic tracing,
NDT AND E INTERNATIONAL, 56, 56-64, 2013 | |
| |
Szelążek J., Mackiewicz S., Kowalewski Z.L., New samples with artificial voids for ultrasonic investigation of material damage due to creep,
NDT AND E INTERNATIONAL, 42, 150-156, 2009 | |
| |
Wang Y., Melikhov Y., Meydan T., Dipole modelling of temperature-dependent magnetic flux leakage,
NDT AND E INTERNATIONAL, 133, 102749-1-9, 2023 | |
| |
Amigó J.M., Szczepański J., Wajnryb E., Sanchez-Vives M.V., Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity,
NEURAL COMPUTATION, 16, 4, 717-736, 2004 | |
| |
Czyż P., Grabowski F., Vogt J., Beerenwinkel N., Marx A., Beyond Normal: On the Evaluation of Mutual Information Estimators,
NEURIPS 2023, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, 2023-12-10/12-16, NEW ORLEANS (US), 1-34, 2023 | |
| |
Poon Ch., Rachmadi M.F., Byra M., Shimogori T., Skibbe H., Semi-supervised contrastive learning for semantic segmentation of ISH gene expression in the marmoset brain,
NEURO2022, THE 45TH ANNUAL MEETING OF THE JAPAN NEUROSCIENCE SOCIETY
THE 65TH ANNUAL MEETING OF THE JAPANESE SOCIETY FOR NEUROCHEMISTRY
THE 32ND ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY, 2022-06-30/07-03, OKINAWA (JP), 1-, 2022 | |
| |
Koza P., Beroun A., Konopka A., Górkiewicz T., Bijoch Ł., Torres J.C., Bulska E., Knapska E., Kaczmarek L., Konopka W., Neuronal TDP-43 depletion affects activity-dependent plasticity,
NEUROBIOLOGY OF DISEASE, 130, 104499-1-12, 2019 | |
| |
Paprocki B., Szczepański J., How do the amplitude fluctuations affect the neuronal transmission efficiency,
NEUROCOMPUTING, 104, 50-56, 2013 | |
| |
Pręgowska A., Szczepański J., Wajnryb E., Temporal code versus rate code for binary Information Sources,
NEUROCOMPUTING, 216, 756-762, 2016 | |
| |
Szczepański J., Amigó J.M., Wajnryb E., Sanchez-Vives M.V., Characterizing spike trains with Lempel-Ziv complexity,
NEUROCOMPUTING, 58-60, 79-84, 2004 | |
| |
Kwiatkowski D., Czarny P., Gałecki P., Bachurska A., Talarowska M., Orzechowska A., Bobińska K., Bielecka-Kowalska A., Pietras T., Szemraj J., Maes M., Śliwiński T., Variants of Base Excision Repair Genes MUTYH, PARP1 and XRCC1 in Alzheimer's Disease Risk,
NEUROPSYCHOBIOLOGY, 71, 3, 176-186, 2015 | |
| |
Kwiatkowski D., Czarny P., Toma M., Korycinska A., Sowinska K., Gałecki P., Bachurska A., Bielecka-Kowalska A., Szemraj J., Maes M., Śliwiński T., Association between single nucleotide polymorphisms of hOGG1, NEIL1, APEX1, FEN1, LIG1 and LIG3 genes and Alzheimer’s disease risk,
NEUROPSYCHOBIOLOGY, 73, 2, 98-107, 2016 | |
