Neuromodulatory transmitter systems in the cortex and their role in cortical plasticity.
By Q. Gu. 2002
552 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Molecular Biology
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
- Kenneth O. Stanley
- Andrea Soltoggio
- Sebastian Risi
- Wulfram Gerstner
- Karl J. Friston
- Nicolas Frémaux
- Charan Ranganath
- Klaas E. Stephan
In Molecular Biology
- Andrea Soltoggio
- Kenneth O. Stanley
- Sebastian Risi
- Brian R. Cox
- Alvaro Pascual-Leone
- Mark D'Esposito
- ChrisD . Frith
- Wulfram Gerstner
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “One further plasticity mechanism that has attracted attention is neuromodulation , or heterosynaptic plasticity (Marder and Thirumalai, 2002; Gu, 2002; Bailey et al., 2000).”
- Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules (2016, methodology): “We review STDP experiments, where neuromodulation is manipulated during or after the pairing protocol.”
- Stochastic variational learning in recurrent spiking networks (2014, background): “It is known that the brain is able to detect novelty and to broadcast novelty related signal across large brain regions (Gu, 2002; Ranganath and Rainer, 2003).”
- Dysconnection in Schizophrenia: From Abnormal Synaptic Plasticity to Failures of Self-monitoring (2009, background): “Importantly,NMDAR-dependentplasticity can be controlled by modulatory transmitters through various mechanisms.(29) For example, DA and ACh receptors regulate the trafficking and insertion of NMDARs in the”
- Physiological Basis of Transcranial Direct Current Stimulation (2011, background): “Acetylcholine (ACh) receptors are found in the highest density in layer I of the neocortex (Gu 2002; Yasuda and others 1993).”
- Hierarchical Models in the Brain (2008, background): “…and cholinergic projections, have exactly the right characteristics: they are driven by activity in presynaptic connections and can affect activity though classical neuromodulatory effects at the post-synaptic membrane [65], while also enabling potentiation of connection strengths [66,67].”
- Evolutionary and Computational Advantages of Neuromodulated Plasticity (2008, background): “In turn, these processes have been linked to the formation of memory, brain function and considered fundamental in learning and adaptation (Gu, 2002; Marder and Thirumalai, 2002; Jay, 2003).”
- Plasticity of Cortical Excitatory-Inhibitory Balance (2015, background): “Neuromodulation is also known to play a major role in cortical plasticity (Froemke & Martins 2011, Gu 2002, Pawlak et al. 2010, Weinberger 2007).”
- Bridging emotion theory and neurobiology through dynamic systems modeling (2005, background): “However, these systems can also be differentiated into highly specific effects across diverse brain regions (see review by Gu 2002).”
- How Prediction Errors Shape Perception, Attention, and Motivation (2012, background): “Indeed, NMDA-dependent mechanisms have been found to play a key role in plasticity in learning and memory processes in the brain (e.g., see Morris, 1989; Gu, 2002; Ji et al., 2005; Genoux and Montgomery, 2007; Tye et al., 2008).”
- Synaptic plasticity and dysconnection in schizophrenia. (2006, background): “In contrast, LTSP includes enduring changes that last hours and possibly years (long-term potentiation and long-term depression) and depend on lasting structural alterations of the synapse.”
- Current concepts in procedural consolidation (2004, background): “For example, there are sleep-related changes in acetycholine, a neuromodulator that is associated with neuroplasticity and learnin”
- Human Neuroscience (unknown): “For example, it has been hypothesized that dopamine, which regulates plasticity of glutamatergic synapses (Gu, 2002), may encode the precision of prediction errors (Friston, 2009).”
- Determinants of the induction of cortical plasticity by non‐invasive brain stimulation in healthy subjects (2010, background): “Cortical synaptic plasticity can be significantly influenced by central nervous system active drugs (for reviews see, Gu, 2002; Möhler, 2006).”
- Neuromodulation as a robot controller (2009, background): “Moreover, neuromodulation gates in learning such that an animal can predict relationships between sensory information and action outcomes [10], [11].”