The Architecture of Cognitive Control in the Human Prefrontal Cortex
By Etienne Koechlin, Chrystèle Ody, F. Kouneiher. 2003
1,850 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Karl J. Friston
- Matthew Botvinick
- Nathaniel D. Daw
- Michael J Frank
- J. Cohen
- Peter S. Dayan
- Yael Niv
- Olaf Sporns
Citations in the corpus
- Orthogonal representations for robust context-dependent task performance in brains and neural networks (2022, neutral): “Human studies havemapped the brain regions that exert control during task performance (Koechlin et al., 2003; Kerns et al., 2004; Yeung et al., 2006; Cole et al., 2016) or measured the processing costs incurred by task switches (Monsell, 2003; Brown et al.”
- Model-based hierarchical reinforcement learning and human action control (2014, background): “Intriguingly, functional neuroimaging studies have implicated overlapping regions within the dorsolateral prefrontal cortex in model-based control [4,60] and hierarchical action representation [61,62] (although see [63–65]).”
- Simple Substrates for Complex Cognition (2008, background): “Sophisticated tasks of this sort (Badre et al., 2005; Frank et al., 2001; Fusi et al., 2007; Koechlin and Summerfield, 2007; Koechlin et al., 1999, 2003) pose a variety of challenges for neurally inspired computational theories in terms of both acquisition and execution.”
- The Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain (2010, methodology): “This required the implementation of a task-setting network [52] that determined the order of the tasks.”
- Towards Deep Developmental Learning (2016, background): “A such, they offer the adequate premises for dealing with raw sensors, because they can address very from human faces and transferred to dogs, cats, etc.) [39], exactly as we do [77].”
- Hierarchical Active Inference: A Theory of Motivated Control (2018, background): “The control hierarchy, associated with a posterior–anterior gradient in dlPFC, has been often characterized as having three levels: premotor cortex, caudal lPFC and rostral lPFC, corresponding to sensorimotor, semantic context (or task sets) and episodic context, respectively [24], see Figure I.”
- Computational roles for dopamine in behavioural control (2004, background): “; and (3) the PFC is selectively engaged by tasks that rely heavily on the active representation of goal informatio”
- Functional Specialization within Rostral Prefrontal Cortex (Area 10): A Meta-analysis (2006, background): “The finding that studies in the Multitask category were associated with relatively rostral activation peaks would be consistent with previous suggestions of a hierarchical organization of PFC regions, with more rostral regions supporting high-level guidance of task performance over extended periods ”
- The neural dynamics of updating person impressions. (2013, background): “Specifically, activity in the rostral portion of lateral PFC is associated with episodic control (Koechlin et al., 2003; Kouneiher et al., 2009) in which a previously encountered cue modifies the perception or interpretation of present stimuli (Egner, 2009).”
- Goals and Habits in the Brain (2013, neutral): “These could depend sensitively on the hierarchical architectures of cognitive control in lateral and medial prefrontal regions and their striatal connections (Frank and Badre, 2012; Koechlin and Hyafil, 2007; Koechlin et al., 2003).”
- Flexible neural mechanisms of cognitive control within human prefrontal cortex (2009, background): “Inferior frontal junction Right 44/6 39 6 33 486 (1, 2) 0.”