The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers

By Matthew Botvinick, J. Cohen. 2014

294 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

Language models show human-like content effects on reasoning (2022, background): “Such models have been developed in the literature on human cognitive control (Cohen et al., 1990; Botvinick and Cohen, 2014), and have been suggested as central processes underlying the variations in human reasoning (Duncan et al., 2020; Li and McClelland, 2022).”
Annual Research Review: On the relations among self-regulation, self-control, executive functioning, effortful control, cognitive control, impulsivity, risk-taking, and inhibition for developmental psychopathology (2016, unknown): “Tam, & Moore, 2012; Smith & Ratcliff, 2004), their computational extensions (Botvinick & Cohen, 2014), and neural accounts (Petersen & Posner, 2012).”
Explanations Can Reduce Overreliance on AI Systems During Decision-Making (2022, methodology): “This economic framing of cognitive effort allocation is supported by evidence from behavioral experiments [45, 48, 94], neuroscientific studies [7, 68, 81], and computer simulations [39, 75].”
Reinforcement learning, efficient coding, and the statistics of natural tasks (2015, background): “Beyond basic physics, pervasive patterns of structure must also arise from the form of the human body, as well as from the organization of the cognitive faculties such as attention and memory [51].”
Motivation and cognitive control: from behavior to neural mechanism. (2015, background): “Several decades of research have established key behavioral phenomena (Banich 2009), revealed some basic computational (Botvinick & Cohen 2014, O’Reilly et al. 2010) and neural mechanisms (Mars et al. 2011, Miller & Cohen 2001), and elucidated the nature and origins of individual differences in…”
Theta-Phase Connectivity between Medial Prefrontal and Posterior Areas Underlies Novel Instructions Implementation (2022, background): “…this literature, mPFC has been attributed a central role in determining and instantiating control policies in several computational models of proactive and reactive cognitive control (Dosenbach et al., 2008; Botvinick and Cohen, 2014; Shenhav et al., 2017; Verguts, 2017; Holroyd and Verguts, 2021).”