Raul Vicente Zafra

23.11.1979
raul.vicente.zafra@ut.ee

Teenistuskäik

Töökohad ja ametid
01.08.2016–...    Tartu Ülikool, Loodus- ja täppisteaduste valdkond, Arvutiteaduse instituut, andmeteaduse professor (1,00)
01.01.2016–01.03.2016    Tartu Ülikool, Loodus- ja täppisteaduste valdkond, Arvutiteaduse instituut, arvutusliku neuroteaduse vanemteadur (1,00)
01.09.2014–31.12.2015    Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, arvutusliku neuroteaduse vanemteadur (1,00)
01.06.2013–31.08.2014    Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut, bioinformaatika teadur (1,00)
01.01.2006–31.12.2013    Postdoc at the Max-Planck Institute for Brain Research, Frankfurt am Main, Germany
 
 
Haridustee
2001–2006    PhD in Physics
1997–2001    BSc in Physics

Kvalifikatsioon

 
 
Teaduspreemiad ja tunnustused
2012, Raul Vicente Zafra, Atendee at the 62nd Lindau Nobel Laureate Meeting
2007, Raul Vicente Zafra, Quantum Electronics and Optics Division Prize of the European Physical Society for the best PhD Thesis in Applied Optics in Europe
2006, Raul Vicente Zafra, PhD Extraordinary Award of the Physics Department of the University of the Balearic Islands
2001, Raul Vicente Zafra, Physics Degree Extraordinary Award (First Class Honors, best GPA)
1997, Raul Vicente Zafra, Bronze Medal in the “8th Spanish Physics Olympiad"
 
 
Teadustöö põhisuunad
VALDKOND: 1. Bio- ja keskkonnateadused; 1.12. Bio- ja keskkonnateadustega seotud uuringud, näiteks biotehnoloogia, molekulaarbioloogia, rakubioloogia, biofüüsika, majandus- ja tehnoloogiauuringud; CERCS ERIALA: B130 Füsioloogiline biofüüsika; PÕHISUUND: Computational Neuroscience
VALDKOND: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS ERIALA: P170 Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria)

Publikatsioonid

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Raul Vicente Zafra

23.11.1979
raul.vicente.zafra@ut.ee

Career

Institution and occupation
01.01.2016–01.03.2016    University of Tartu, Faculty of Science and Technology, Institute of Computer Science, Senior Research Fellow in Computational Neuroscience (1,00)
01.09.2014–31.12.2015    University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science, Senior Research Fellow in Computational Neuroscience (1,00)
01.06.2013–31.08.2014    University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science, Research Fellow of Bioinformatics (1,00)
01.01.2006–31.12.2013    Postdoc at the Max-Planck Institute for Brain Research, Frankfurt am Main, Germany
 
 
Education
2001–2006    PhD in Physics
1997–2001    BSc in Physics

Qualifications

 
 
Honours & awards
2012, Raul Vicente Zafra, Atendee at the 62nd Lindau Nobel Laureate Meeting
2007, Raul Vicente Zafra, Quantum Electronics and Optics Division Prize of the European Physical Society for the best PhD Thesis in Applied Optics in Europe
2006, Raul Vicente Zafra, PhD Extraordinary Award of the Physics Department of the University of the Balearic Islands
2001, Raul Vicente Zafra, Physics Degree Extraordinary Award (First Class Honors, best GPA)
1997, Raul Vicente Zafra, Bronze Medal in the “8th Spanish Physics Olympiad"
 
 
Field of research
FIELD OF RESEARCH: 1. Biosciences and Environment; 1.12. Biotechnology, Molecular Biology, Cell Biology, Biophysics and Economic and Technological Research relating to Bio- and Environmental Sciences; CERCS SPECIALTY: B130 Physiological biophysics ; SPECIALITY: Computational Neuroscience
FIELD OF RESEARCH: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS SPECIALTY: P170 Computer science, numerical analysis, systems, control
 
 

Publications

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2017
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  • Leitud 45 kirjet
PublikatsioonKlassifikaatorFail
Tampuu, Ardi;Matiisen, Tambet;Kodelja, Dorian;Kuzovkin, Ilya;Korjus, Kristjan;Aru, Juhan;Aru, Jaan;Vicente Raul (2017). Multiagent Cooperation and Competition with Deep Reinforcement Learning. PLoS ONE, 12 (4), e0172395.10.1371/journal.pone.0172395.1.1.
Vasser, M.; Kängsepp, M.; Magomedkerimov, M.; Kilvits, K.; Stafinjak, V.; Kivisik, T.; Vicente, R.; Aru, J. (2017). VREX: an open-source toolbox for creating 3D virtual reality experiments. BMC Psychology, 5 (4), 1−8.10.1186/s40359-017-0173-4.1.1.
Korjus, Kristjan; Hebart, Martin H.; Vicente, Raul (2016). An efficient data partitioning to improve classification performance while keeping parameters interpretable. PLoS ONE, 11 (8), e0161788.10.1371/journal.pone.0161788.1.1.
Kuzovkin, Ilja; Tretjakov, Konstantin; Uusberg, Andero; Vicente, Raul (2016). Adaptive Interactive Learning for Training BCI Systems. Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future: BCI Meeting 2016; Pacific Grove, CA 93950, United States; 30.05.2016-03.06.2016. Ed. Gernot R. Müller-Putz, Jane E. Huggins, David Steyr. Verlag der Technischen Universität Graz, 123−123.5.2.
Gomez-Herrero, G.; Wu, W.; Rutanen, K.; Soriano, M. C.; Pipa, G.; Vicente, R. (2015). Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy, 17 (4), 1958−1970.10.3390/e17041958.1.1.
Korjus, K.; Uusberg, A.; Uibo, H.; Kuldkepp, N.; Kreegipuu, K.; Allik, J.; Vicente, R.; Aru, J. (2015). Personality cannot be predicted from the power of resting state EEG. Frontiers in Human Neuroscience, 9, 63.10.3389/fnhum.2015.00063.1.1.
Aru, J.; Aru, J.; Priesemann, V.; Wibral, M.; Lana, L.; Pipa, G.; Singer, W.; Vicente, R. (2015). Untangling cross-frequency coupling in neuroscience. Current Opinion in Neurobiology, 31, 51−61.10.1016/j.conb.2014.08.002.1.1.
Tampuu, Ardi; Matiisen, Tambet; Kuzovkin, Ilja; Korjus, Kristjan; Aru, Jaan; Vicente, Raul (2015). How friendly is your AI? It depends on the rewards. http://robohub.org, 0−0.6.3.
Wollstadt, P.; Martinez-Zarzuela, M.; Vicente, R.; Diaz-Pernas, F.J.; Wibral, M. (2014). Efficient transfer entropy analysis of non-stationary neural time series. PLoS ONE, 9 (7), e102833.10.1371/journal.pone.0102833.1.1.
Castellano, M.; Plöchl, M.; Vicente, R.; Pipa, G. (2014). Neuronal oscillations form fronto-parietal networks during contour integration of dynamic visual stimuli. Frontiers in Integrative Neuroscience, 64.10.3389/fnint.2014.00064.1.1.
Zemmar, A.; Weinmann, O.; Kellner, Y.; Yu, X.; Vicente, R.; Gullo, M.; Kasper, H.; Lussi, K.; Ristic, Z.; Luft, A.; Rioult-Pedotti, M.; Zuo, Y.; Zagrebelsky, M.; Schwab, M.E. (2014). Neutralization of Nogo-A enhances synaptic plasticity in the rat motor cortex and improves motor learning in-vivo. Journal of Neuroscience, 34 (26), 8685−8698.10.1523/JNEUROSCI.3817-13.2014.1.1.
Sancristóbal, B.; Vicente, R.; Garcia-Ojalvo, J. (2014). Role of frequency mismatch in neuronal communication through coherence. Journal of Computational Neuroscience, 37 (2), 193−208.10.1007/s10827-014-0495-7.1.1.
Wibral, M.; Vicente, R.; Lizier, J.T. (2014). Directed Information Measures in Neuroscience. Springer.2.1.
Vicente, R.; Wibral, M. (2014). Efficient estimation of information transfer. In: Wibral, M.; Vicente, R.; Lizier, J.T. (Ed.). Directed Information Measures in Neuroscience (37−58).. Springer.3.1.
Wibral, M.; Vicente, R.; Lindner, M. (2014). Transfer entropy in neuroscience. In: Directed Information Measures in Neuroscience (3−36).. Springer.3.1.
Garces, P.; Vicente, R.; Wibral, M.; Pineda Pardo, J.A.; Lopez, M.E.; Aurtenetxe, S.; Marcos, A.; de Andres, M.E.; Yus, M.; Sancho, M.; Maestu, F.; Fernandez, A. (2013). Brain-wide slowing of spontaneous alpha rhythms in mild cognitive impairment. Frontiers in Aging Neuroscience, 5, 100.10.3389/fnagi.2013.00100.1.1.
Sancristobal, B.; Vicente, R.; Sancho, J.M.; Garcia-Ojalvo, J. (2013). Emergent bimodal firing patterns implement different encoding strategies during gamma-band oscillations. Frontiers in Computational Neuroscience, 7, 18.10.3389/fncom.2013.00018.1.1.
Wibral, M.; Pampu, N.; Priesemann, V.; Siebenhühner, F.; Seiwert, H.; Lindner, M.; Lizier, J.T.; Vicente, R. (2013). Measuring information-transfer delays. PLoS ONE, 8 (2), e55809.10.1371/journal.pone.0055809.1.1.
D’Huys, O.; Fischer, I.; Lean, L.; Danckaert, J.; Vicente, R. (2012). Spectral and correlation properties of rings of delay-coupled elements: Comparing linear and nonlinear systems. Physical Review E, 85 (5, 2), 056209.10.1103/PhysRevE.85.056209.1.1.
Vicente, R.; Mirasso, C.R. (2012). 00:00: Cuando las neuronas sincronizan sus relojes. Mente y Cerebro, 53, 62−71.6.3.
Perez, T.; Garcia, G.C.; Eguiluz, V.M.; Vicente, R.; Pipa, G.; Mirasso, C.R. (2011). Effect of the topology and delayed interactions in neuronal networks synchronization. PLoS ONE, 6 (5), e19900.10.1371/journal.pone.0019900.1.1.
D´Huys, O.; Fischer, I.; Danckaert, J.; Vicente, R. (2011). Role of delay for the symmetry in the dynamics of networks. Physical Review E, 83 (4), 046223.1.1.
Wibral, M.; Rahm, B.; Rieder, M.; Lindner, M.; Vicente, R.; Kaiser, J. (2011). Transfer entropy in magnetoencephalographic data: Quantifying information flow in cortical and cerebellar networks. Progress in Biophysics and Molecular Biology, 105, 80−97.10.1016/j.pbiomolbio.2010.11.006.1.1.
Vicente, R.; Wibral, M.; Lindner, M.; Pipa, G. (2011). Transfer entropy –A model-free measure of effective connectivity for the neurosciences. Journal of Computational Neuroscience, 30 (1), 45−67.10.1007/s10827-010-0262-3.1.1.
Lindner, M.; Vicente, R.; Priesemann, V.; Wibral, M. (2011). TRENTOOL: an open source toolbox for MATLAB to analyze information flow in time series data with transfer entropy. BMC Neuroscience, 12, Article nr 119.10.1186/1471-2202-12-119.1.1.
  • Leitud 9 kirjet
PealkiriJuhendatavKraadJuhendajaKaitsmise staatusKaitsmise aastaAsutus
Analyzing EEG Data and Improving Data Partitioning for Machine Learning AlgorithmsKorjus, KristjandoktorikraadRaul Vicente ZafraJuhendamiselTartu Ülikool, Matemaatika-informaatikateaduskond
Beyond Decoding: Representational Similarity Analysis on fMRI DataLoginov, MartinmagistrikraadRaul Vicente ZafraKaitstud2015Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut
Exploring the Animal GPS System: A Machine Learning Approach to Study the Hippocampal FunctionBzhalava, ZurabmagistrikraadRaul Vicente ZafraKaitstud2015Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut
From the Brain to Intelligent Systems: The Attenuation of Sensation of Self-generated MovementKristjan-Julius LaakmagistrikraadJaan Aru; Raul Vicente ZafraKaitstud2016Tartu Ülikool, Loodus- ja täppisteaduste valdkond, Arvutiteaduse instituut
Learning DNA mutational signatures using neural networksTammeveski, LaurimagistrikraadRaul Vicente Zafra; Leopold Parts; Tambet Matiisen; Ardi TampuuKaitstud2016Tartu Ülikool, Loodus- ja täppisteaduste valdkond, Arvutiteaduse instituut
Machine Learning Techniques for Analyzing Brain Data and Development of Brain-Computer Interface SystemsKuzovkin, IljadoktorikraadRaul Vicente Zafra; Sven LaurJuhendamiselTartu Ülikool, Matemaatika-informaatikateaduskond
Studying the formation of representations in deep neural networksMatiisen, TambetdoktorikraadRaul Vicente ZafraJuhendamiselTartu Ülikool, Matemaatika-informaatikateaduskond
Studying visual processing in the thalamocortical system through biophysical modelingTampuu, ArdidoktorikraadRaul Vicente ZafraJuhendamiselTartu Ülikool, Matemaatika-informaatikateaduskond
Using Gromov-Wasserstein distance to explore sets of networksHendrikson, ReigomagistrikraadRaul Vicente ZafraKaitstud2016Tartu Ülikool, Matemaatika-informaatikateaduskond, Matemaatika Instituut