Ivilin Peev Stoianov

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Marco ZorziProfessor of Cognition and Artificial Intelligence, University of Padova, ItalyEmail verificata su unipd.it
Giovanni PezzuloNational Research Council of Italy, RomeEmail verificata su istc.cnr.it
Alberto TestolinUniversity of PadovaEmail verificata su unipd.it
John NerbonneCLCG, University of GroningenEmail verificata su rug.nl
Domenico MaistoInstitute for Cognitive Sciences and Technologies - Italian National Research CouncilEmail verificata su cnr.it
Matteo PriorelliInstitute of Cognitive Sciences and Technologies, National Research Council, PaduaEmail verificata su istc.cnr.it
Francesco DonnarummaResearcher, Institute of Cognitive Sciences and Technologies (ISTC) - National Research CouncilEmail verificata su istc.cnr.it
Ani BonevaInstitute of Information and Communication Technologies, BAS, BulgariaEmail verificata su iict.bas.bg
Ahmad JezziniDepartment of Neuroscience, Washington University in St. Louis, St. LouisEmail verificata su wustl.edu
Veronica MontaniDepartment of Neurosciences Biomedicine & Movement Sciences, University of VeronaEmail verificata su univr.it
Aldo GenovesioSapienza UniversityEmail verificata su uniroma1.it
Thomas A. HopeUniversity of California, San FranciscoEmail verificata su ucsf.edu
Cyriel PennartzHoogleraar Cognitie & Neurowetenschappen, Univ. van AmsterdamEmail verificata su uva.nl
Anna M. BorghiAssociate Professor of Psychology, Sapienza University of Rome and ISTC-CNR, RomeEmail verificata su uniroma1.it
Alessandro GrecucciDiPSCo - Department of Psychology and Cognitive Sciences & CISMed - Centre for Medical SciencesEmail verificata su unitn.it

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Ivilin Peev Stoianov

Istituto di Scienze e Tecnologie della Cognizione, CNR, Italy

Email verificata su unipd.it

neurocomputational modeling cognitive neuroscience numerical cognition cognitive control active inference


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Emergence of a'visual number sense'in hierarchical generative models I Stoianov, M Zorzi Nature Neuroscience 15, 194–196, 2012	363	2012
Functional organization of the insula and inner perisylvian regions A Jezzini, F Caruana, I Stoianov, V Gallese, G Rizzolatti Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.1200143, 2012	150	2012
Computational modeling of numerical cognition M Zorzi, I Stoianov, C Umiltà Handbook of mathematical cognition, 67-84, 2005	116	2005
Visuospatial priming of the mental number line I Stoianov, P Kramer, C Umiltà, M Zorzi Cognition 106 (2), 770-779, 2008	111	2008
Modeling language and cognition with deep unsupervised learning: a tutorial overview M Zorzi, A Testolin, IP Stoianov Frontiers in psychology 4, 515, 2013	110	2013
Number skills are maintained in healthy ageing M Cappelletti, D Didino, I Stoianov, M Zorzi Cognitive Psychology 69, 25-45, 2014	105	2014
Prefrontal goal-codes emerge as latent states in probabilistic value learning I Stoianov, A Genovesio, G Pezzulo Journal of Cognitive Neuroscience 28 (1), 140-157, 2016	87	2016
Letter perception emerges from unsupervised deep learning and recycling of natural image features A Testolin, I Stoianov, M Zorzi Nature Human Behaviour 1 (doi:10.1038/s41562-017-0186-2), 657-664, 2017	59	2017
Model-Based Spatial Navigation in the Hippocampus-Ventral Striatum Circuit: A Computational Analysis IP Stoianov, C Pennartz, CS Lansink, G Pezzulo PLOS Computational Biology 14 (9), doi: 10.1371/journal.pcbi.1006316, 2018	53	2018
When action meets emotions: how facial displays of emotion influence goal-related behavior F Ferri, IP Stoianov, C Gianelli, L D'Amico, AM Borghi, V Gallese Plos One 5 (10), e13126, 2010	48	2010
Deep unsupervised learning on a desktop PC: A primer for cognitive scientists A Testolin, I Stoianov, M De Filippo De Grazia, M Zorzi Frontiers in Psychology (ISSN: 1664-1078) 4 (251), doi: 10.3389/fpsyg.2013.0, 2013	42	2013
Model-Based Approaches to Active Perception and Control G Pezzulo*, F Donnarumma, P Iodice, D Maisto, I Stoianov Entropy 19 (6), doi:10.3390/e19060266, 2017	38	2017
Planning at decision time and in the background during spatial navigation G Pezzulo, F Donnarumma, D Maisto, I Stoianov Current opinion in behavioral sciences 29, 69-76, 2019	34	2019
Neuroplus biofeedback improves attention, resilience, and injury prevention in elite soccer players A Rusciano, G Corradini, I Stoianov Psychophysiology 54 (6), 916-926, doi: 10.1111/psyp.12847, 2017	34	2017
Application of Wireless Protocols Bluetooth and ZigBee in Telemetry System Development R Krasteva, A Boneva, G Vesselin, I Stoianov Problems of Engineering, Cybernetics, and Robotics 55, 30-38, 2005	34	2005
Interactions between perceptual and numerical space P Kramer, I Stoianov, C Umiltà, M Zorzi Psychonomic bulletin & review 18, 722-728, 2011	33	2011
Developmental trajectories of numerosity perception I Stoianov, M Zorzi Interactions Between Space, Time and Number, http://doi.org/10.5281/zenodo …, 2013	32	2013
The hippocampal formation as a hierarchical generative model supporting generative replay and continual learning I Stoianov, D Maisto, G Pezzulo bioRxiv, doi.org/10.1101/2020.01.16.908889, 2020	30	2020
Topology and Learning of a Class RNN I Baruch, I Stoyanov, E Gortcheva ELEKTRIK 4, 35-42, 1996	28	1996
Learning Orthographic Structure with Sequential Generative Neural Networks A Testolin, I Stoianov, A Sperduti, M Zorzi Cognitive Science, 1-28, DOI: 10.1111/cogs.12258, 2015	21	2015

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