Dopamine-mediated regulation of corticostriatal synaptic plasticity.
By P. Calabresi, B. Picconi, Alessandro Tozzi, M. Di Filippo. Trends in Neurosciences, 2007
840 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/33990e68f77dbd32f8b4f430f7f6ee62cae10993
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
- Nathaniel D. Daw
- Michael J Frank
- John P. O'Doherty
- Wulfram Gerstner
- Nicolas Frémaux
- Fred Henrik Hamker
- Ann M. Graybiel
- Peter S. Dayan
In Cognitive Neuroscience
- Michael J Frank
- Peter S. Dayan
- Nathaniel D. Daw
- John P. O'Doherty
- Ann M. Graybiel
- Wulfram Gerstner
- Fred Henrik Hamker
- Nicolas Frémaux
Citations in the corpus
- Multiple Forms of Value Learning and the Function of Dopamine (2009, background): “But the involvement of dorsomedial striatum in goal values raises the likelihood of dopaminergic participation in these as well, since this area's tight interrelationship with dopaminergic midbrain parallels that of the other striatal subterritories (Calabresi et al., 2007).”
- Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy (2013, background): “If, however, dopamine in fact spontaneously excites the direct and inhibits indirect pathways, remains to be shown (Calabresi et al., 2007).”
- Single Nigrostriatal Dopaminergic Neurons Form Widely Spread and Highly Dense Axonal Arborizations in the Neostriatum (2009, background): “This dopamine signal is sent back to the neostriatum for the long-term modification of corticostriatal and/or thalamostriatal synapses (Calabresi et al., 2000, 2007), resulting in the updates of responsiveness of striatal neurons.”
- Alpha-synuclein in Parkinson’s disease and other synucleinopathies: from overt neurodegeneration back to early synaptic dysfunction (2023, background): “Postsynaptic dysfunctions induced by α-syn in PD models The complex role of DA as a key modulator of synaptic plasticity was thoroughly appraised by previous studies on the regulatory effect of DA over striatal neurons’ activity [98, 99].”
- A Computational Model of Basal Ganglia and its Role in Memory Retrieval in Rewarded Visual Memory Tasks (2009, neutral): “The exact influence of DA on corticostriatal learning is still a matter of debate and depends on the type of dopaminergic receptor (D1 or D2) involved, the state of the membrane potential of the striatal cell (“up” and “down” states) and on the cortical patterns (Calabresi et al., 2007).”
- Computational models of reinforcement learning: the role of dopamine as a reward signal (2010, background): “The influence of dopamine on synaptic plasticity depends on numerous factors including the targeted cell type, the specific receptors activated and the brain region under consideration (Bissière et al. 2003; Calabresi et al. 2007; Otani et al. 2003; Shen et al. 2008; Wickens 2009; Yao et al. 2008).”
- Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity (2018, background): “This neuromodulation of plasticity, which involves several chemicals (particularly dopamine; Calabresi et al. 2007; He et al. 2015; Li et al. 2003; Yagishita et al. 2014), plays an important role in learning and adaptation (Molina-Luna et al., 2009; Smith-Roe & Kelley, 2000; Kreitzer & Malenka,…”
- What is reinforced by phasic dopamine signals? (2008, background): “…DA-driven strengthening of contextual, motivational and motor representations when the sensory event is elicited (LTP — long term potentiation Calabresi et al., 2007; Centonze et al., 2001; Reynolds and Wickens, 2002; Wickens et al., 2003), coupled with a weakening of representations that…”
- Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task (2008, background): “may be intrinsic or be driven by intrastriatal networks (16, 36, 37).”
- Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules (2016, background): “The question then arises of how neuromodulatory signals interact with neural activity to influence synaptic plasticity, learning, and ultimately behavior (Gu, 2002; Hasselmo, 2006; Calabresi et al., 2007).”
- Modulation of striatal projection systems by dopamine (2011, positive): “Previous studies have argued that LTP induced in SPNs by pairing HFS of glutamatergic inputs and postsynaptic depolarization depends upon co-activation of D1 and NMDA receptors (Calabresi et al., 2007).”
- Neuroplasticity subserving motor skill learning (2011, positive): “It has been proposed that dopaminergic modulation within these circuits, specifically through dopamine-dependent LTP in the hippocampus, may contribute to this effect (Calabresi et al., 2007).”