El Laboratorio de Neurociencia es un grupo interdisciplinario integrado por físicos, psicólogos, biólogos, ingenieros, científicos de la educación, biotecnólogos, lingüistas, matemáticos, artistas y científicos de la computación.

El grupo tiene amplios intereses en neurociencia y psicología experimental y ha desarrollado numerosas interacciones con representantes de distintos dominios de la cultura humana, incluyendo músicos, jugadores de ajedrez profesionales, docentes de escuelas primarias, matemáticos, magos, artistas visuales y chefs.

Una motivación compartida del grupo es incorporar progresivamente más aspectos fenomenológicos de la mente a terrenos cuantitativos, intentando ser agnósticos e innovativos en las metodologías y frecuentemente fusionando ideas conocidas en combinaciones novedosas.

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Recent Submissions

  • A Cross-Cultural Study of Everyday Moral Experiences 

    Navajas, Joaquín; Murray, Samuel; Jiménez_Leal, William; et al. (Universidad Torcuato Di Tella, 2024)
    Do people in different societies experience morality differently in everyday life? Using experience sampling methods, we investigate everyday moral experiences in a sample from 20 countries across 6 continents, thereby ...
  • The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions 

    Goldín, Andrea P; Vladisauskas, Melina; Paz, Gabriel O; Nin, Verónica; Guillén, Jesús A; Belloli, Laouen; Delgado, Hernán; Miguel, Martín A; Macario Cabral, Daniela; Shalom Diego E.; Forés, Anna; Carboni, Alejandra; Fernández-Slezak, Diego (Brain Sciences (e-ISSN 2076-3425), 2024-03-07)
    Mate Marote is an open-access cognitive training software aimed at children between 4 and 8 years old. It consists of a set of computerized games specifically tailored to train and evaluate Executive Functions (EF), a ...
  • DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling 

    Fainstein, Miguel; Siless, Viviana; Iarussi, Emmanuel (Universidad Torcuato Di Tella, 2024)
    In recent years, there has been a growing interest in training Neural Networks to approximate Unsigned Distance Fields (UDFs) for representing open surfaces in the context of 3D reconstruction. However, UDFs are ...
  • A synthesis of evidence for policy from behavioural science during COVID-19 

    Navajas, Joaquín; Ruggeri, Kai; Haslam, S. Alexander; Capraro, Valerio; Boggio, Paulo; Ellemers, Naomi; Cichocka, Aleksandra; Douglas, Karen M.; Rand, David G.; van der Linden, Sander; Cikara, Mina; Finkel, Eli J.; Druckman, James N.; Wohl, Michael J. A.; Petty, Richard E.; Tucker, Joshua A.; Shariff, Azim; Gelfand, Michele; Packer, Dominic; Jetten, Jolanda; Van Lange, Paul A. M.; Pennycook, Gordon; Peters, Ellen; Baicker, Katherine; Crum, Alia; Weeden, Kim A.; Napper, Lucy; Tabri, Nassim; Zaki, Jamil; Skitka, Linda; Kitayama, Shinobu; Mobbs, Dean; Sunstein, Cass R.; Ashcroft-Jones, Sarah; Todsen, Anna Louise; Hajian, Ali; Verra, Sanne; Buehler, Vanessa; Friedemann, Maja; Hecht, Marlene; Mobarak, Rayyan S.; Karakasheva, Ralitsa; Tünte, Markus R.; Yeung, Siu; Kit Rosenbaum, R. Shayna; Lep, Žan; Yamada, Yuki; Hudson, Sa-kiera Tiarra Jolynn; Macchia, Lucía; Soboleva, Irina; Dimant, Eugen; Geiger, Sandra J.; Jarke, Hannes; Wingen, Tobias; Berkessel, Jana B.; Mareva, Silvana; McGill, Lucy; Papa, Francesca; Većkalov, Bojana; Afif, Zeina; Buabang, Eike K.; Landman, Marna; Tavera, Felice; Andrews, Jack L.; Bursalıoğlu, Aslı Zupan,; Zorana Wagner, Lisa; Vranka, Marek; Kasdan, David; Chen, Patricia; Hudson, Kathleen R.; Novak, Lindsay M.; Teas, Paul; Rachev, Nikolay R.; Galizzi, Matteo M. (Nature ISSN 1476-4687 (online), 2023)
    Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations (‘claims’) detailing how evidence ...
  • The wisdom of extremized crowds: Promoting erroneous divergent opinions increases collective accuracy 

    Navajas, Joaquin; Barrera Lermarchand, Federico; Balenzuela, Pablo; Bahrami,Bahador; Deroy, Ophelia (Universidad Torcuato Di Tella, 2023)
    The aggregation of many lay judgements can generate surprisingly accurate estimates. This effect, known as the “wisdom of the crowd”, has been demonstrated in domains such as medical decision-making, factchecking news, ...
  • Learning normal asymmetry representations for homologous brain structures 

    Bendersky, Mariana; Iarussi, Emmanuel; Deangeli, Duilio; Princich, Juan Pablo; Larrabide, Ignacio; Orlando, José Ignacio (Universidad Torcuato Di Tella, 2023)
    Although normal homologous brain structures are approximately symmetrical by definition, they also have shape differences due to e.g. natural ageing. On the other hand, neurodegenerative conditions induce their own changes ...
  • VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis 

    Feldman, Paula; Fainstein, Miguel; Siless, Viviana; Iarussi, Emmanuel; Delrieux, Claudio (Universidad Torcuato Di Tella, 2023)
    We present a data-driven generative framework for synthesizing blood vessel 3D geometry. This is a challenging task due to the complexity of vascular systems, which are highly variating in shape, size, and structure. ...

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