A computational model of action selection in the basal ganglia. I. A new functional anatomy

By Kevin N. Gurney, Tony J. Prescott, Peter Redgrave. Biological cybernetics, 2001

652 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3ef7c0665edfef041e5fb9746915edae31153cdf

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In Cognitive Neuroscience

Citations in the corpus

The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions (2007, methodology): “Biologically realistic network models (Gurney et al., 2001a, 2001b) have shown how the basal ganglia could perform the required selection computation.”
Intrinsically Motivated Learning in Natural and Artificial Systems (2013, neutral): “responsible for implementing different actions (Gurney et al. 2001).”
Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism (2005, methodology): “Other computational models of the BG have focused more on how response selection and reward information may be implemented in biological circuitry (e.g., Brown et al., 2004; Gurney et al., 2001; Beiser & Houk, 1998), but to my knowledge have not attempted to model cognitive implicit learning tasks.”
Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia (2006, background): “The Actor is a group of “GPR” modules [8] with saliences as inputs and actions as outputs.”
Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal. (2006, background): “In particular, the BG are thought to modulate the selection of actions being considered in the frontal cortex (Brown et al., 2004; Frank, 2005; Frank et al., 2001; Gurney et al., 2001; O. Hikosaka, 1998; Mink, 1996; Rubchinsky, Kopell, & Sigvardt, 2003).”
The Hierarchical Organisation of Cortical and Basal-Ganglia Systems: A Computationally-Informed Review and Integrated Hypothesis (2013, neutral): “Moreover, within each one of these streams there is evidence for the existence of relatively segregated channels capable of selecting particular cortical restricted targets, for example encoding specific actions (Chevalier and Deniau, 1990; Gurney et al., 2001; Mink, 1996).”
Toward an Integration of Deep Learning and Neuroscience (2016, methodology): “…inﬂuenced by the integrated nature of higher-level brain systems, including mechanisms for developmental bootstrapping (Ullman et al., 2012), information routing (Gurney et al., 2001; Stocco et al., 2010 ), attention (Buschman and Miller, 2010) and hierarchical decision making (Lee et al., 2015).”
The anatomy of choice: active inference and agency (2013, background): “It is the optimization of precision that provides a complete account of bounded rationality (approximate Bayesian inference) and a putative account of the control of dopaminergic ﬁring; cf. (Gurney et al., 2001).”
Actor-critic models of the basal ganglia: new anatomical and computational perspectives (2002, background): “There are currently several different neuralnetwork models of these connections that provide different answers to these questions (Berns & Sejnowski, 1998; Gurney et al., 2001).”
Dopamine, Affordance and Active Inference (2012, background): “Indeed, it has been shown that action selection can be cast as signal selection using salience to report the ‘‘propensity for selecting a given action’’ [49].”
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy (2013, methodology): “According to the second version, the hyper-direct pathway globally inhibits all motor programs, including the desired one, which is distinguished only by its additional activation via the direct pathway (Gurney et al., 2001a; Nambu, 2004; Humphries et al., 2006).”
What is reinforced by phasic dopamine signals? (2008, background): “Since the proposed selection process works by assessing the relative magnitudes of input saliences in competing channels (Gurney et al., 2001a; Gurney et al., 2001b; Humphries et al., 2006), boosting the input of a particular channel would increase its likelihood of future selection.”
Goal-directed and habitual control in the basal ganglia: implications for Parkinson's disease (2010, background): “— results in effective action selection, in computational model”
Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model. (2013, background): “SC Generates DA learning signals Redgrave and Gurney (2006) with sudden unexpected events Comoli et al.”
A computational model of inhibitory control in frontal cortex and basal ganglia. (2011, background): “Similarly, the prominent model of Gurney, Prescott, and Redgrave (2001) suggests that this pathway serves as a control pathway rather than providing negative evidence against particular actions as in our model, and it is unclear how this control function (while not disputed per se) would reproduce…”
Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis. (2012, background): “Several corticostriatal models take as their starting point the general notion that the basal ganglia (BG) act as a ‘‘gate’’ to facilitate particular action plans in frontal cortex while suppressing other less adaptive plans (e.g., Mink 1996; Gurney et al. 2001a; Brown et al. 2004; Frank 2005).”