Idx_Stoianov

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Publications, Ivilin Stoianov

Assessment of Sequential Boltzmann Machines on a Lexical Processing Task

Testolin, A., Sperduti, A., Stoianov, I., & Zorzi, M. (2012). Assessment of Sequential Boltzmann Machines on a Lexical Processing Task. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN.

PDF document icon Testolin et al. ESANN. 2012.pdf — PDF document, 198 KB (203477 bytes)

Computational foundations of the visual number sense

Stoianov, I., & Zorzi, M. (2017). Computational foundations of the visual number sense. Behavioral and Brain Sciences, 40. doi: 10.1017/S0140525X16002326

PDF document icon StoianovZorzi.BBS.2017.pdf — PDF document, 294 KB (301652 bytes)

Deep unsupervised learning on a desktop PC: A primer for cognitive scientists

Testolin, A., Stoianov, I., De Filippo De Grazia, M., & Zorzi, M. (2013). Deep unsupervised learning on a desktop PC: A primer for cognitive scientists. Frontiers in Psychology, 4(251).

PDF document icon Testolin et al. - 2013 - Deep unsupervised learning on a desktop PC A primer for cognitive scientists.pdf — PDF document, 1.07 MB (1126074 bytes)

Emergence of a ‘visual number sense’ in hierarchical generative models

Stoianov, I., & Zorzi, M. (2012). Emergence of a “visual number sense” in hierarchical generative models. Nature neuroscience, 15(2), 194-6. Nature Publishing Group. doi:10.1038/nn.2996

PDF document icon StoianovZorzi_NatNeuro 2012 (main&SI).pdf — PDF document, 2.13 MB (2233930 bytes)

Erratum to: Interactions between perceptual and numerical space

Kramer, P., Stoianov, I., Umiltà, C., & Zorzi, M. (2011). Erratum to: Interactions between perceptual and numerical space. Psychonomic Bulletin & Review, 18(5), 1029-1029. doi:10.3758/s13423-011-0149-y

PDF document icon Kramer et al. Psychonomic Bulletin & Review. 2011.pdf — PDF document, 58 KB (60292 bytes)

Learning orthographic structure with generative neural networks

Testolin, A., Stoianov, I., Sperduti, A., and Zorzi, M. (2016). Learning orthographic structure with generative neural networks. Cognitive Science.

PDF document icon Testolin_et_al-2015-Cognitive_Science.pdf — PDF document, 638 KB (653712 bytes)

Letter perception emerges from unsupervised deep learning and recycling of natural image features

Testolin, A., Stoianov, I., & Zorzi, M. (2017). Letter perception emerges from unsupervised deep learning and recycling of natural image features. Nature Human Behaviour, 1(9), 657.

PDF document icon Testolin, Stoianov, Zorzi - 2017 - NHB.pdf — PDF document, 4.51 MB (4733884 bytes)

Modeling language and cognition with deep unsupervised learning: a tutorial overview.

Zorzi, M., Testolin, A., & Stoianov, I. (2013). Modeling language and cognition with deep unsupervised learning: a tutorial overview. Frontiers in Psychology, 4 (515)

PDF document icon fpsyg-04-00515.pdf — PDF document, 2.62 MB (2745262 bytes)

Number skills are maintained in healthy ageing

Cappelletti, Marinella, et al. "Number skills are maintained in healthy ageing." Cognitive psychology (2014) 69 : 25-45.

PDF document icon Cappelletti et al. Cog Psych 2014 numbers ageing.pdf — PDF document, 912 KB (934467 bytes)

Parallelization of Deep Networks

De Filippo, M., Stoianov, I., & Zorzi, M. (2012). Parallelization of Deep Networks. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN

PDF document icon De Filippo, Stoianov, Zorzi. ESANN. 2012.pdf — PDF document, 273 KB (279624 bytes)

Searching for Emergent Representations in Evolved Dynamical Systems

Hope, T., Stoianov, I., & Zorzi, M. (2006). Searching for Emergent Representations in Evolved Dynamical Systems. From Animals to Animats, 9, 522-533.

PDF document icon Hope, Stoianov, Zorzi. From Animals to Animats. 2006.pdf — PDF document, 246 KB (252453 bytes)

The role of phonology in the inflection of Italian verbs: A connectionist investigation

Colombo, L., Stoianov, I., Pasini, M., & Zorzi, M. (2006). The role of phonology in the inflection of Italian verbs: A connectionist investigation. The Mental Lexicon, 1(1), 147-181.

PDF document icon Colombo et al. The Mental Lexicon. 2006.pdf — PDF document, 507 KB (519245 bytes)

Through Neural Stimulation to Behavior Manipulation: A Novel Method for Analyzing Dynamical Cognitive Models

Hope, T., Stoianov, I., & Zorzi, M. (2010). Through neural stimulation to behavior manipulation: a novel method for analyzing dynamical cognitive models. Cognitive science, 34(3), 406-33. doi:10.1111/j.1551-6709.2009.01079.x

PDF document icon Hope, Stoianov, Zorzi. Cognitive science. 2010.pdf — PDF document, 511 KB (523541 bytes)

Visuospatial priming of the mental number line

Stoianov, I., Kramer, P., Umiltà, C., & Zorzi, M. (2008). Visuospatial priming of the mental number line. Cognition, 106(2), 770-9. doi:10.1016/j.cognition.2007.04.013

PDF document icon Stoianov et al. Cognition. 2008.pdf — PDF document, 154 KB (158490 bytes)