English
Líneas de investigación
Línea emergente del grupo: «Plasticidad de las redes neuronales»
Comprender el proceso de toma de decisiones es fundamental para describir cómo los seres humanos y otros animales interactúan con su entorno y enfrentan los desafíos diarios. Este conocimiento tiene profundas implicaciones en campos tan variados como la psicología, la neurociencia, la medicina y la inteligencia artificial.
Nuestra investigación se centra en desentrañar los mecanismos neuronales que subyacen a la toma de decisiones, con el objetivo de comprender en profundidad la red neuronal que regula este proceso crítico en el cerebro. Nuestro enfoque se centra en caracterizar cómo diferentes regiones cerebrales interactúan para formar nuestras elecciones, y en entender la organización y funcionamiento de estos circuitos neuronales. Para lograrlo, empleamos un enfoque combinado que integra tanto técnicas experimentales como teóricas, incluyendo registros electrofisiológicos, pruebas de comportamiento en modelos animales y humanos, y modelos computacionales. Además, investigamos cómo la interacción entre el cerebro y el cuerpo, en particular los aspectos motores, impacta en la toma de decisiones.
Este enfoque integral no solo avanza nuestro conocimiento fundamental sobre los mecanismos de la toma de decisiones, sino que también ofrece valiosas perspectivas para futuras aplicaciones en diversos ámbitos de la investigación y la práctica clínica.
Publicaciones relevantes
- Influence of temporal information gaps on decision making: describing the dynamics of working memory. Sospedra A, Canals S, Marcos E. bioRxiv. 2024 in press https://doi.org/10.1101/2024.07.17.603868
- Alcohol-induced damage to the fimbria/fornix reduces hippocampal-prefrontal cortex connection during early abstinence. Pérez-Cervera L, De Santis S, Marcos E, Ghorbanzad-Ghaziany Z, Trouvé-Carpena A, Kotb Selim M, Pérez-Ramírez U, Pfarr S, Bach P, Halli P, Kiefer F, Moratal D, Kirsch P, Sommer W.H & Canals S. Acta Neuropathol Commun. 2023 11, art. nº 101 ( junio 2023) https://doi.org/10.1186/s40478-023-01597-8
- Nootropic effects of LSD: Behavioral, molecular and computational evidence. Ornelas, I.M., Cini, F.A., Wießner, I., Marcos, E., Araújo, D.B., Goto-Silva, L., Nascimento, J., Silva, S.R.B., Costa, M.N., Falchi, M., Olivieri, R., Palhano-Fontes, F., Sequerra, E., Martins-de-Souza, D., Feilding, A., Rennó-Costa, C., Tófoli, L.F., Rehen, S.K., Ribeiro, S. Exp Neurol. 2022 356: art. 114148 https://doi.org/10.1016/j.expneurol.2022.114148
- The importance of urgency in decision making based on dynamic information Ferrucci L, Genovesio A, Marcos E PLoS Comput Biol 2021 17(10):e1009455 https://doi.org/10.1371/journal.pcbi.1009455
- Low-dimensional dynamics for working memory and time encoding Cueva CJ, Saez A, Marcos E, Genovesio A, Jazayeri M, Romo R, Salzman CD, Shadlen MN, Fusi S Proc Natl Acad Sci USA 2020 117(37):23021 https://doi.org/10.1073/pnas.1915984117
- Autocorrelation structure in the macaque dorsolateral, but not orbital or polar, prefrontal cortex predicts response-coding strength in a visually cued strategy task. Fascianelli V, Tsujimoto S, Marcos E, Genovesio A. Cerebral Cortex. 2019 29(1): 230-241 https://doi.org/10.1093/cercor/bhx321
- A network activity reconfiguration underlies the transition from goal to action. Marcos E*, Tsujimoto S, Mattia M, Genovesio A. Cell Reports. 2019 27(10): 2909-2920 https://doi.org/10.1016/j.celrep.2019.05.021
- Coding of Self and Other’s Future Choices in Dorsal Premotor Cortex during Social Interaction. Cirillo R, Ferrucci L, Marcos E, Ferraina S, Genovesio A. Cell Reports. 2018 25(7): 1679-1686 https://doi.org/10.1016/j.celrep.2018.07.030
- Outcome modulation across tasks in the primate dorsolateral prefrontal cortex. Marcos E, Nougaret S, Tsujimoto S, Genovesio A. Neuroscience. 2018 371: 96-105 https://doi.org/10.1016/j.neuroscience.2017.11.019
- Interference between space and time estimations: From behavior to neurons. Marcos E, Genovesio A. Frontiers in Neuroscience. 2017 11:631 https://doi.org/0.3389/fnins.2017.00631
Investigador emergente
- Influence of temporal information gaps on decision making: describing the dynamics of working memory. Sospedra A, Canals S, Marcos E. bioRxiv. 2024 in press https://doi.org/10.1101/2024.07.17.603868
- Alcohol-induced damage to the fimbria/fornix reduces hippocampal-prefrontal cortex connection during early abstinence. Pérez-Cervera L, De Santis S, Marcos E, Ghorbanzad-Ghaziany Z, Trouvé-Carpena A, Kotb Selim M, Pérez-Ramírez U, Pfarr S, Bach P, Halli P, Kiefer F, Moratal D, Kirsch P, Sommer W.H & Canals S. Acta Neuropathol Commun. 2023 11, art. nº 101 ( junio 2023) https://doi.org/10.1186/s40478-023-01597-8
- Nootropic effects of LSD: Behavioral, molecular and computational evidence. Ornelas, I.M., Cini, F.A., Wießner, I., Marcos, E., Araújo, D.B., Goto-Silva, L., Nascimento, J., Silva, S.R.B., Costa, M.N., Falchi, M., Olivieri, R., Palhano-Fontes, F., Sequerra, E., Martins-de-Souza, D., Feilding, A., Rennó-Costa, C., Tófoli, L.F., Rehen, S.K., Ribeiro, S. Exp Neurol. 2022 356: art. 114148 https://doi.org/10.1016/j.expneurol.2022.114148
- The importance of urgency in decision making based on dynamic information Ferrucci L, Genovesio A, Marcos E PLoS Comput Biol 2021 17(10):e1009455 https://doi.org/10.1371/journal.pcbi.1009455
- Low-dimensional dynamics for working memory and time encoding Cueva CJ, Saez A, Marcos E, Genovesio A, Jazayeri M, Romo R, Salzman CD, Shadlen MN, Fusi S Proc Natl Acad Sci USA 2020 117(37):23021 https://doi.org/10.1073/pnas.1915984117
- Autocorrelation structure in the macaque dorsolateral, but not orbital or polar, prefrontal cortex predicts response-coding strength in a visually cued strategy task. Fascianelli V, Tsujimoto S, Marcos E, Genovesio A. Cerebral Cortex. 2019 29(1): 230-241 https://doi.org/10.1093/cercor/bhx321
- A network activity reconfiguration underlies the transition from goal to action. Marcos E*, Tsujimoto S, Mattia M, Genovesio A. Cell Reports. 2019 27(10): 2909-2920 https://doi.org/10.1016/j.celrep.2019.05.021
- Coding of Self and Other’s Future Choices in Dorsal Premotor Cortex during Social Interaction. Cirillo R, Ferrucci L, Marcos E, Ferraina S, Genovesio A. Cell Reports. 2018 25(7): 1679-1686 https://doi.org/10.1016/j.celrep.2018.07.030
- Outcome modulation across tasks in the primate dorsolateral prefrontal cortex. Marcos E, Nougaret S, Tsujimoto S, Genovesio A. Neuroscience. 2018 371: 96-105 https://doi.org/10.1016/j.neuroscience.2017.11.019
- Interference between space and time estimations: From behavior to neurons. Marcos E, Genovesio A. Frontiers in Neuroscience. 2017 11:631 https://doi.org/0.3389/fnins.2017.00631
- Event- and time-dependent decline of outcome information in the primate prefrontal cortex. Marcos E, Tsujimoto S, Genovesio A. Scientific Reports. 2016 6 :25622 https://doi.org/10.1038/srep25622
- Evidence against perfect integration of sensory information during perceptual decision making. Carland MA, Marcos E, Thura D, Cisek P. Journal of Neurophysiology. 2016 115(2): 915-930 https://doi.org/10.1152/jn.00264.2015
- Motor cost influences perceptual decisions. Marcos E, Cos I, Girard B, Verschure PFMJ. PloS ONE. 2015 10(12): e0144841 https://doi.org/10.1371/journal.pone.0144841
- An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-X. Maffei G, Santos-Pata D, Marcos E, Sánchez-Fibla M, Verschure PFMJ. Neural Networks. 2015 72: 88-108 https://doi.org/10.1016/j.neunet.2015.10.004
- Neural variability in premotor cortex is modulated by trial history and predicts behavioral performance. Marcos E, Pani P, Brunamonti E, Deco G, Ferraina S, Verschure P. Neuron. 2013 78(2): 249-255 https://doi.org/10.1016/j.neuron.2013.02.006