2018
DOI: 10.3389/fnhum.2018.00386
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Understanding Natural Cognition in Everyday Settings: 3 Pressing Challenges

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Cited by 45 publications
(90 citation statements)
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“…Furthermore, such ideas have challenged the understanding of cognitive states and with that, the methods employed to assess them (Ladouce et al, 2017 ; Shamay-Tsoory and Mendelsohn, 2019 ; Parada and Rossi, 2020 ). The implementation of these novel ideas as empirical work is still fledgling, as novel methods are developed (Ladouce et al, 2017 ; Shamay-Tsoory and Mendelsohn, 2019 ), innovative experimental designs suggested (Parada, 2018 ; Matusz et al, 2019 ; Shamay-Tsoory and Mendelsohn, 2019 ), and neurocognitive scientists begin to discuss the implications of both epistemic and methodological advancements in a more profound manner (De Jaegher et al, 2016 ; Krakauer et al, 2017 ; Parada and Rossi, 2018 , 2020 ; Buzsáki, 2020 ; Poeppel and Adolfi, 2020 ). The issues discussed above show that social support and cognition research is still in its infancy and could greatly benefit from these novel ideas.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, such ideas have challenged the understanding of cognitive states and with that, the methods employed to assess them (Ladouce et al, 2017 ; Shamay-Tsoory and Mendelsohn, 2019 ; Parada and Rossi, 2020 ). The implementation of these novel ideas as empirical work is still fledgling, as novel methods are developed (Ladouce et al, 2017 ; Shamay-Tsoory and Mendelsohn, 2019 ), innovative experimental designs suggested (Parada, 2018 ; Matusz et al, 2019 ; Shamay-Tsoory and Mendelsohn, 2019 ), and neurocognitive scientists begin to discuss the implications of both epistemic and methodological advancements in a more profound manner (De Jaegher et al, 2016 ; Krakauer et al, 2017 ; Parada and Rossi, 2018 , 2020 ; Buzsáki, 2020 ; Poeppel and Adolfi, 2020 ). The issues discussed above show that social support and cognition research is still in its infancy and could greatly benefit from these novel ideas.…”
Section: Discussionmentioning
confidence: 99%
“…This modeling can be achieved through tools derived from network science and/or machine learning techniques (Vespignani, 2011;Boonstra et al, 2015;Sekara et al, 2016;Shine et al, 2016;Avena-Koenigsberger et al, 2017;Aguilera, 2018;Parada and Rossi, 2018). Furthermore, implementing scalable experimental paradigms (Parada, 2018;Matusz et al, 2019;Shamay-Tsoory and Mendelsohn, 2019) and generating novel hypotheses of interacting brain/body systems functioning during natural cognition (De Jaegher et al, 2010Di Paolo and De Jaegher, 2012;Gramann et al, 2014;Ladouce et al, 2017;Parada, 2018;Parada and Rossi, 2018) are among the most outstanding challenges for the 4E-cognition research program. We believe that the incorporation of a mechanistic framework facilitates meeting those challenges and advancing a deeper understanding of cognitive phenomena, social, and otherwise.…”
Section: Closing Remarksmentioning
confidence: 99%
“…Achieving high ecological validity by recording EEG in mobile participants in the real world increased movement-related artifacts and variability in behavioral and cognitive strategies used to solve the task which. As a consequence, the high ecological validity renders the interpretation of the results more difficult (Parada, 2018).…”
Section: Later Evoked Componentsmentioning
confidence: 99%