Multiple dopamine functions at different time courses.
By Wolfram Schultz. 2007
1,408 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Wolfram Schultz
- Karl J. Friston
- R. Malenka
- Nora D. Volkow
- Kent C. Berridge
- S. Lammel
- Mark T. Harnett
- Luiz Pessoa
In Cognitive Neuroscience
- Karl J. Friston
- Wolfram Schultz
- Klaas E. Stephan
- Luiz Pessoa
- R. Malenka
- Michael J Frank
- Yael Niv
- R. J. Dolan
In Neurology
- Mark T. Harnett
- Wolfram Schultz
- Irene Tracey
- S. Leknes
- Karl J. Friston
- Luiz Pessoa
- Susan Sara
- R. Spanagel
Citations in the corpus
- The temporal paradox of Hebbian learning and homeostatic plasticity (2017, neutral): “dopaminergic transmission can be fast [98] and”
- Neurocircuitry of Addiction (2009, background): “…is a key factor, with the fastest time course predominantly having a preferential role in reward and valuation of predicted outcomes of behavior and steady activation of dopamine release having a preferential role in providing an enabling effect on specific behavior-related systems (Schultz, 2007).”
- Burst timing-dependent plasticity of NMDA receptor-mediated transmission in midbrain dopamine neurons: A putative cellular substrate for reward learning (2009, positive): “DA is clearly involved in motor output (shown most dramatically in cases of Parkinson’s disease) (Baik et al., 1995; Carlsson et al., 1957; Schultz, 2007; Wickens et al., 2007; Wickens et al., 2003), but it is also a (if not the) major factor in reward learning (Day et al.”
- What is reinforced by phasic dopamine signals? (2008, background): “…work is required to test this supposition, however, if reliable offset reboundDA responses can be confirmed, it could go part way towards explaining some of the elevated levels of DA release, measured over minutes by microdialysis probes, following noxious stimulation (Schultz, 2007; Young, 2004).”
- Reward and aversion in a heterogeneous midbrain dopamine system (2013, background): “Thus, perhaps not surprisingly, DA neuron activity has been associated with a variety of brain functions including the signaling of reward, aversion, salience, uncertainty and novelty (Bromberg-Martin et al., 2010; Schultz 2007; Ungless et al., 2010).”
- Modulation of striatal projection systems by dopamine (2011, neutral): “Rewarding events transiently increase the activity of SNc DA neurons, whereas aversive events transiently decrease it, providing bidirectional signaling to the striatum (Schultz, 1998; Schultz, 2007; Hikosaka et al., 2008; Brown et al., 2009).”
- Hierarchical Models in the Brain (2008, background): “In this figure, we have focused on means or expectations m i of the marginal densities, q ( W i )= N ( W i : m i , C i ). doi:10.1371/journal.pcbi.1000211.g010 have been implicated in value-learning [68–70], attention and the encoding of uncertainty [63,71].”
- A common neurobiology for pain and pleasure (2008, positive): “but, in contrast to the firing bursts that signal pleasant events or their cues, aversive stimulation causes a brief inhibition of baseline firin”
- Whole-brain mapping of direct inputs to midbrain dopamine neurons. (2012, neutral): “Dopamine neurons in the ventral tegmental area (VTA) and substantia nigra pars compacta (SNc) play pivotal roles in various brain functions including motivation, reinforcement learning, and motor control (Cohen et al., 2012; Ikemoto, 2007; Redgrave and Gurney, 2006; Schultz, 2007; Wise, 2004).”
- The anatomy of choice: active inference and agency (2013, background): “…necessarily intimate relationship between inferring states of the world and optimal behavior (Toussaint and Storkey, 2006; Gläscher et al., 2010), the confidence or precision of that inference (De Martino et al., 2012), and the functional plurality of dopaminergic neuromodulation (Schultz, 2007).”
- Dopamine, Affordance and Active Inference (2012, background): “This formulation sits comfortably with the affordance competition hypothesis [2], [39] and other theoretical accounts: for example, the uncertainty processing theory of motivation [40], neurobiological accounts of decision-making [41], [42] and the plurality of roles suggested by the physiology of d”
- Dopamine signals for reward value and risk: basic and recent data (2010, background): “This response may reflect a dopamine change induced by the few neurons activated by aversive stimuli, although the time course of microdialysis measurements is about 300-500 times slower than the impulse response and might be sufficient for allowing presynaptic interactions to influence dopamine rel”
- The rostromedial tegmental nucleus (RMTg), a GABAergic afferent to midbrain dopamine neurons, encodes aversive stimuli and inhibits motor responses. (2009, background): “, 2006) and may be activated at different times by different stimuli (Schultz 2007), including aversive stimuli (Feenstra et al.”
- Closed-loop and activity-guided optogenetic control. (2015, neutral): “…compared to pulse number-matched low frequency (tonic) stimulation (Tsai et al., 2009), all directly informed by previously published recordings of dopamine neuron activity (Schultz, 2007) and quantitative mapping of dopamine release to carefully titrated pulse frequency (Adamantidis et al., 2011).”