Hello! I'm Marcelo Mattar, a postdoc working with Nathaniel Daw at the Princeton Neuroscience Institute.
I develop theories and experiments to understand how humans use models and memories to plan their behavior.


Visit my Google Scholar page for an updated list of publications, or my GitHub for code relevant to previous and current projects.

Published manuscripts

  • A network neuroscience of human learning: Potential to inform quantitative theories of brain and behavior (2017)
    Danielle S. Bassett, Marcelo G Mattar
    Trends in Cognitive Sciences

  • Varying timescales of stimulus integration unite neural adaptation and prototype formation (2016)
    Marcelo G Mattar*, David A Kahn*, Sharon L Thompson-Schill, Geoffrey K Aguirre
    Current Biology
    *Equal contribution

  • Optimal trajectories of brain state transitions (2017)
    Gu, Shi, Betzel, Richard F, Mattar, Marcelo G, Cieslak, Matthew, Delio, Philip R, Grafton, Scott T, Pasqualetti, Fabio, and Bassett

  • The flexible brain (2016)
    *Mattar, Marcelo G, *Betzel, Richard F, and Bassett, Danielle S.

  • Structural pathways supporting swift acquisition of new visuomotor skills. (2016)
    Kahn, Ari E, Mattar, Marcelo G, Vettel, Jean M, Wymbs, Nicholas F, Grafton, Scott T, and Bassett, Danielle S.
    Cerebral Cortex

  • Danielle S. Functional network dynamics of the language system. (2016)
    Chai, Lucy R, Mattar, Marcelo G, Blank, Idan Asher, Fedorenko, Evelina, and Bassett, Danielle S.
    Cerebral Cortex

  • Simultaneous perceptual and response biases on sequential face attractiveness judgments. (2016)
    *Pegors, Teresa K, *Mattar, Marcelo G, Bryan, Peter B, and Epstein, Russell A.
    Journal of Experimental Psychology: General

  • A functional cartography of cognitive systems. (2015)
    Mattar, Marcelo G., Cole, Michael W., Thompson-Schill, Sharon L.
    PLoS Comput Biol

  • Rsvp in orbit: Identification of single and dual targets in motion. (2012)
    Wyble, Brad, Potter, Mary C, and Mattar, Marcelo G.
    Attention, Perception, &amp Psychophysics

  • De Bruijn cycles for neural decoding. (2012)
    Aguirre, Geoffrey Karl, Mattar, Marcelo G, and Magis-Weinberg, LucĂ­a.

Submitted and preprints

  • Brain state flexibility accompanies motor-skill acquisition.
    Reddy, Pranav G, Mattar, Marcelo G, Murphy, Andrew C, Wymbs, Nicholas F, Grafton, Scott T, Satterthwaite, Theodore D, and Bassett, Danielle S.</b>

  • Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration.
    Khambhati, Ankit N, Mattar, Marcelo G, and Bassett, Danielle S.

  • The network architecture of value learning.
    Mattar, Marcelo G, Thompson-Schill, Sharon L, and Bassett, Danielle S.

  • Identification of retinotopic organization in striate and extrastriate cortex using inter-areal functional correlations.
    Bock, Andrew S, Benson, Noah C, Mattar, Marcelo G, and Aguirre, Geoffrey K.

  • Predicting future learning from baseline network architecture.
    Mattar, Marcelo, Wymbs, Nicholas F, Bock, Andrew S, Aguirre, Geoffrey K, Grafton, Scott T, and Bassett, Danielle S.

  • The energy landscape underpinning module dynamics in the human brain connectome.
    Ashourvan, Arian, Gu, Shi, Mattar, Marcelo G, Vettel, Jean M, and Bassett, Danielle S.