Challenges for Neuroscience-based Computational Intelligence

JOSÉ A. FERNÁNDEZ LEÓN; ACOSTA, GERARDO G.

International Journal of Computational Intelligence Studies

InderScience Pub.

Lugar: Ginebra; Año: 2021 vol. 10 p. 232 - 238

1755-4977

We describe some of the major issues concerning the interdisciplinary community that looks forunderstanding intelligence from the neuroscience and computational perspectives. Thechallenges outlined focus on the diverse range of theoretical and practical questions that maystimulate not only the study of intelligence in the biological realm but also the practice ofresearch on the theoretical aspects to guide research in neuroscience. Setting the study ofcomputational intelligence from the neuroscience field in a holistic and integrative way is a steptoward fostering impactful interactions between distinct perspectives and viewpoints.These ideas might be useful for brain understanding and for constructing new paradigms ofmachine learning. Rather than proposing a shift on the approach taken in computationalintelligence research, discussions in this work suggest approaching the described grandchallenges in an integrative manner but guided by theoretical aspects, rather than based mostlyon technological developments to study the brain.