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How to study the neural mechanisms of multiple tasks.
Yang, Guangyu Robert; Cole, Michael W; Rajan, Kanaka.
Afiliação
  • Yang GR; Zuckerman Mind Brain Behavior Institute, Columbia University; Center for Molecular and Behavioral Neuroscience, Rutgers University-Newark; Department of Neuroscience, Icahn School of Medicine at Mount Sinai.
  • Cole MW; Zuckerman Mind Brain Behavior Institute, Columbia University; Center for Molecular and Behavioral Neuroscience, Rutgers University-Newark; Department of Neuroscience, Icahn School of Medicine at Mount Sinai.
  • Rajan K; Zuckerman Mind Brain Behavior Institute, Columbia University; Center for Molecular and Behavioral Neuroscience, Rutgers University-Newark; Department of Neuroscience, Icahn School of Medicine at Mount Sinai.
Curr Opin Behav Sci ; 29: 134-143, 2019 Oct.
Article em En | MEDLINE | ID: mdl-32490053
Most biological and artificial neural systems are capable of completing multiple tasks. However, the neural mechanism by which multiple tasks are accomplished within the same system is largely unclear. We start by discussing how different tasks can be related, and methods to generate large sets of inter-related tasks to study how neural networks and animals perform multiple tasks. We then argue that there are mechanisms that emphasize either specialization or flexibility. We will review two such neural mechanisms underlying multiple tasks at the neuronal level (modularity and mixed selectivity), and discuss how different mechanisms can emerge depending on training methods in neural networks.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Opin Behav Sci Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Opin Behav Sci Ano de publicação: 2019 Tipo de documento: Article