Dopamine-dependent plasticity of corticostriatal synapses

By John N. J. Reynolds, J. Wickens. Neural Networks, 2002

545 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/c368cda2ab89f37935c2b6977c1509b62d9d212a

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Information processing, dimensionality reduction and reinforcement learning in the basal ganglia. (2003, background): “In a multi-Hebbian learning rule the reinforcement signal regulates the amount of change in the weight of a synaptic connection for a given input/output pair (Reynolds and Wickens, 2002).”
Metalearning and neuromodulation (2002, background): “In the striatal neuron, however, the direction of plasticity is reversed with the level of dopamine (Wickens et al., 1996; Reynolds & Wickens, 2001; Reynolds & Wickens, 2002 ).”
Reinforcement Learning on Slow Features of High-Dimensional Input Streams (2010, background): “In the striatum it was shown that dopamine influences synaptic plasticity [5].”
What is reinforced by phasic dopamine signals? (2008, background): “…version of biasing action selection that has receivedmost attention inanalysesof thebasal ganglia's role in reinforcement learning (Arbuthnott and Wickens, 2007; Everitt and Robbins, 2005; Reynolds and Wickens, 2002; Schultz, 1998; Schultz, 2006; Wickens, 1993; Wickens et al., 2003; Wise, 2004).”
A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task (2010, background): “Such three-factor learning rules are well studied in corticostriatal synapses where the three factors are presynaptic and postsynaptic activity and dopamine (see, e.g., Reynolds and Wickens, 2002).”
A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. (2007, background): “…with the The cortico-striatal pathway is known to exhibit synaptic plasticity that is strongly modulated by dopamine signals (Reynolds et al., 2001; Reynolds and Wickens, 2002); there is also evidence that dopamine influences long-term synaptic plasticity in prefrontal neurons (Otani et al., 2003;…”
Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity (2010, background): “Moreover, synaptic plasticity in general (Reynolds and Wickens, 2002; Jay, 2003) and STDP in particular (Pawlak and Kerr, 2008; Zhang et al.”
Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model. (2013, background): “In particular, the cortical synaptic contacts to striatal neurons have been shown to undergo LTP and LTD modulated by dopamine (Reynolds and Wickens, 2002; Wickens et al., 2003; Calabresi et al., 2007; Wickens, 2009).”
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules (2016, methodology): “Traditional studies of dopamine-modulated plasticity in cortico-striatal synapses have also relied on “rate-based” protocols, where no particular attention is paid to the relative timing of pre- and postsynaptic spikes (see Reynolds and Wickens, 2002 and Jay, 2003, for reviews).”
The Role of the Dorsal Striatum in Reward and Decision-Making (2007, background): “…studies on the synaptic mechanisms in the striatum have shown that long-term potentiation (LTP) or long-term depression (LTD) can occur in the corticostriatal synapses depending on the combination of cortical inputs, striatal outputs, and D1 and D2 dopaminergic inputs (Reynolds and Wickens, 2002).”
Adolescence as a neurobiological critical period for the development of higher-order cognition (2018, unknown): “Whereas phasic DA release facilitates LTP of corticostriatal circuits, transient cessation of firing in response to reward omission facilitates LTD of these circuits, particularly when rewards or omissions are unpredicted (Reynolds and Wickens, 2002).”
Reinforcement Learning and Causal Models (2017, background): “The dopamine signal drives updating of the value function by modulating plasticity at cortico-striatal synapses (Reynolds & Wickens, 2002).”
Evolutionary and Computational Advantages of Neuromodulated Plasticity (2008, background): “So far, this has been the most popular interpretation of neuromodulated plasticity (Abbott, 1990; Reynolds and Wickens, 2002; Porr and Wörgötter, 2007a).”
Modulators of decision making (2008, background): “Dopamine-dependent plasticity in the striatum seems to be important in learning of reward-predictive neural activitie”