Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system

By Thomas E. Hazy, Michael J Frank, Michael J Frank, Randall C. O’Reilly. 2007

442 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

PathNet: Evolution Channels Gradient Descent in Super Neural Networks (2017, methodology): “The operations of PathNet resemble those of the Basal Ganglia, which we propose determines which subsets of the cortex are to be active and trainable as a function of goal/sub-goal signals from the prefrontal cortex, a hypothesis related to others in the literature [8] [14] [6].”
Cognitive Bias Modification and Cognitive Control Training in Addiction and Related Psychopathology (2013, background): “Indeed, contemporary cognitive neuroscience suggests that the integration of motivation and control is essential to understand what control is and how control works (Harsay et al., 2011; Hazy et al., 2006, 2007; Kouneiher, Charron, & Koechlin, 2009; Ridderinkhof et al., 2012).”
Exploration from Generalization Mediated by Multiple Controllers (2013, background): “For instance, they might deploy controlled working memory (Dayan 2007; Hazy et al. 2007; O'Reilly and Frank 2006; Vasilaki et al. 2009) to store aspects of the previous sensory input, in order to disambiguate outcomes that seem inexplicably stochastic.”
Neural mechanisms for interacting with a world full of action choices. (2010, result): “Furthermore, the finding that the basal ganglia connect with prefrontal regions, in a manner similar to their connections with premotor cortex, suggests that basal ganglia innervation of prefrontal regions also 284 Cisek · Kalaska mediates selection but on a more abstract level (Hazy et al. 2007).”
TRoPICALS: a computational embodied neuroscience model of compatibility effects. (2010, background): “Jeannerod (1994) and Arbib (1997) proposed that objects tend to evoke actions which are appropriate to them and suggest that this process involves motor representations and their distal”
Subcortical structures and cognition (2009, methodology): “Computational models of these processes have been developed and corroborated by several important empirical studies (Hazy, Frank, & O’Reilly, 2006; Hazy et al., 2007; McNab & Klingberg, 2008).”
The Distributed Nature of Working Memory. (2017, methodology): “Furthermore, the working memory gradient outlined above does not require a separate homunculus control mechanism [145,146,148], but can instead be produced by the underlying neural circuits themselves, similar to the idea of a Turing machine ([149], Box 3).”
Simple Substrates for Complex Cognition (2008, unknown): “…et al., 2005), and indeed the new attention being paid to the neural basis of general-purpose cognitive architectures such as ACT-R (Anderson et al., 2008) have breathed new life into the solu-tion of such tasks (Frank et al., 2001; Hazy et al., 2007; Rigotti and Fusi, 2006; Rigotti et al., 2007).”