2021
DOI: 10.1037/rev0000271
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A neurocomputational theory of how rule-guided behaviors become automatic.

Abstract: This article introduces a biologically detailed computational model of how rule-guided behaviors become automatic. The model assumes that initially, rule-guided behaviors are controlled by a distributed neural network centered in the prefrontal cortex, and that in addition to initiating behavior, this network also trains a faster and more direct network that includes projections from sensory association cortex directly to rulesensitive neurons in the premotor cortex. After much practice, the direct network is … Show more

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Cited by 11 publications
(6 citation statements)
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“…During procedural learning (also described as ‘implicit’ or ‘reflexive’) the dorsal striatum (the posterior putamen and body and tail of caudate nucleus) support the process of making a learnt response automatic (Ashby et al., 1998; Ashby & Ennis, 2006; Cohen & Frank, 2009; Ell et al., 2011; Waldschmidt & Ashby, 2011). During rule‐based learning the dorsal striatum holds relevant, and filters out irrelevant information in the initial learning stages (Ashby & Ennis, 2006; Ell et al., 2006; Kovacs et al., 2021). In parallel, the hippocampus keeps track of accepted and rejected rules (Kovacs et al., 2021).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…During procedural learning (also described as ‘implicit’ or ‘reflexive’) the dorsal striatum (the posterior putamen and body and tail of caudate nucleus) support the process of making a learnt response automatic (Ashby et al., 1998; Ashby & Ennis, 2006; Cohen & Frank, 2009; Ell et al., 2011; Waldschmidt & Ashby, 2011). During rule‐based learning the dorsal striatum holds relevant, and filters out irrelevant information in the initial learning stages (Ashby & Ennis, 2006; Ell et al., 2006; Kovacs et al., 2021). In parallel, the hippocampus keeps track of accepted and rejected rules (Kovacs et al., 2021).…”
Section: Discussionmentioning
confidence: 99%
“…During rule‐based learning the dorsal striatum holds relevant, and filters out irrelevant information in the initial learning stages (Ashby & Ennis, 2006; Ell et al., 2006; Kovacs et al., 2021). In parallel, the hippocampus keeps track of accepted and rejected rules (Kovacs et al., 2021).…”
Section: Discussionmentioning
confidence: 99%
“…During procedural learning (also described as 'implicit' or 'reflexive') the dorsal striatum (the posterior putamen and body and tail of caudate nucleus) support the process of making a learnt response automatic (Ashby et al, 1998;Ashby and Ennis, 2006;Cohen and Frank, 2009;Ell et al, 2011;Waldschmidt and Ashby, 2011). During rule-based learning the dorsal striatum holds relevant, and filters out irrelevant information in the initial learning stages (Ashby and Ennis, 2006;Ell et al, 2006;Kovacs et al, 2021). In parallel, the hippocampus keeps track of accepted and rejected rules (Kovacs et al, 2021).…”
Section: Memory Impairment and Its Neural Correlatesmentioning
confidence: 99%
“…During rule-based learning the dorsal striatum holds relevant, and filters out irrelevant information in the initial learning stages (Ashby and Ennis, 2006;Ell et al, 2006;Kovacs et al, 2021). In parallel, the hippocampus keeps track of accepted and rejected rules (Kovacs et al, 2021).…”
Section: Memory Impairment and Its Neural Correlatesmentioning
confidence: 99%
“…Ashby et al (2007) proposed that skills learned procedurally are mediated entirely within cortex after they become automatized, and that the development of automaticity is associated with a gradual transfer of control from the striatum to cortical-cortical projections from the relevant sensory areas directly to the premotor areas that initiate the behavior. Kovacs et al (2021) proposed a similar account of how ruleguided behaviors are automatized in which the prefrontal cortex trains the cortical circuits that implement the automatic behaviors. Therefore, according to these accounts, a critical function of the neural networks that mediate executive function and procedural learning are to train purely cortical representations of automatic behaviors.…”
Section: Automatic Behaviorsmentioning
confidence: 99%