Prefrontal cortex and flexible cognitive control: rules without symbols.

By Nicolas P. Rougier, D. Noelle, Todd S. Braver, J. Cohen, Randall C. O’Reilly. 2005

390 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

Cognitive control over learning: creating, clustering, and generalizing task-set structure. (2013, neutral): “Moreover, unlike previous BG-PFC gating models (O’Reilly & Frank, 2006; Frank & Badre, 2011; Reynolds & O’Reilly, 2009; Rougier et al., 2005) which relied on reinforcement learning for gating PFC representations but supervised learning at the level of motor responses, the current model relied on rei”
The Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain (2010, result): “Contrary to previous computational work addressing flexible mapping [30–33], our objective is not to study flexible behavior per se but to understand the conditions under which a computational model capable of flexible sensory-motor mapping shows patterns of interference when two tasks have to be pe”
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia (2006, background): “…of the hidden layer, allowing them to develop in ways that reﬂect the unique demands of working memory representations (e.g., Rougier & O’Reilly, 2002; Rougier et al., 2005); (3) there can be multiple context layers (i.e., stripes), each with its own set of representations and gating signals.”
Flexible neural mechanisms of cognitive control within human prefrontal cortex (2009, methodology): “penalty) across all time points, F(1, 30) 10.”
The expected value of control: An integrative theory of anterior cingulate cortex function (2013, neutral): “…that these corticostriatal loops may serve as a gating mechanism, regulating action implementation as well as updating of control representations in prefrontal cortex (for related models, also see Bogacz et al., 2010; O’Reilly et al., 2002; Reynolds and O’Reilly, 2009; Rougier et al., 2005).”
The iterative reprocessing model: A multilevel framework for attitudes and evaluation. (2007, background): “Whereas the subcortical systems provide a low–resolution estimate of likely outcomes, regions of the OFC may be involved in integrating amygdala output with current experience, allowing the current context to play a role in shaping the evaluation (e.g., Blair, 2004; Beer, Heery, Keltner, Scabini, & ”
A Computational Model of Basal Ganglia and its Role in Memory Retrieval in Rewarded Visual Memory Tasks (2009, neutral): “Manipulating and abstracting representations is a harder issue that involves specifically the prefrontal cortex, but some computational models have already started to address this problem (Rougier et al., 2005).”
The mind and brain of short-term memory. (2008, background): “Several computational neural-network models of circuits for maintenance hypothesize that prefrontal cortical circuits support attractors, self-sustaining patterns observed in certain classes of recurrent networks (Hopfield 1982, Rougier et al. 2005, Polk et al. 2002).”