Distributed synergistic plasticity and cerebellar learning

By Zhenyu Gao, B. V. Beugen, C. D. Zeeuw. 2012

484 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology

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Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, positive): “In the cerebellar cortex such supervised learning is thought to occur largely in Purkinje cells (Brunel et al., 2004; Ito, 2006; Gao et al., 2012; Ohmae and Medina, 2015; Herzfeld et al, 2018; Raymond and Medina, 2018), where precise sensorimotor associations are”
Excitatory Cerebellar Nucleocortical Circuit Provides Internal Amplification during Associative Conditioning (2016, unknown): “The cerebellum controls a variety of sensorimotor tasks with high spatial and temporal accuracy (De Zeeuw et al., 2011; Dean et al., 2010; Gao et al., 2012; Ito, 2006), but surprisingly little is known about its internal closed-loop circuitry between the cerebellar nuclei and cortex.”
High Frequency Burst Firing of Granule Cells Ensures Transmission at the Parallel Fiber to Purkinje Cell Synapse at the Cost of Temporal Coding (2013, background): “Moreover, glutamate released by MFs can directly act on Golgi cell terminals and suppress GABA release, forming an activitydependent feed-forward loop (Gao et al., 2012).”
At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters (2015, background): “[6,7]), the details of its workings are far from established [8].”
Shared cortex-cerebellum dynamics in the execution and learning of a motor task (2019, unknown): “, 2004) versus densely active relays of cortical dynamics, with transmission modes potentially modulated through plasticity (Gao et al., 2012).”
Silencing the majority of cerebellar granule cells uncovers their essential role in motor learning and consolidation. (2013, unknown): “Plasticity Is Intact The observation that some forms of motor learning are impaired in a6Cre-Cacna1a KO mice raises the possibility that plasticity is impaired at the PF-PC synapse, which is regarded as one of the key synapses for cerebellar learning (Gao et al., 2012; Ito, 2002).”
The restless engram: consolidations never end. (2012, background): “These and studies in other organisms and model systems (e.g., Etcheberrigaray et al., 1992; Malenka and Bear, 2004; Gao et al., 2012) unveiled a rich molecular toolbox of neuronal plasticity that has been conserved and elaborated in evolution to permit memory traces to be formed (Kandel, 2001; Glanz”
elife.elifesciences.org RESEARCH ARTICLE Convergence of pontine and (2013, unknown): “The associative capacity of the cerebellum is thought to largely depend on Purkinje cell plasticity, allowing temporal relationships among inputs to alter the strengths of postsynaptic responses (Marr, 1969; Albus, 1971; Boyden et al., 2004; Gao et al., 2012).”
Optimal degrees of synaptic connectivity (2017, unknown): “…of the connections between parallel fibers and Purkinje cells, but unsupervised forms of plasticity have been reported for synapses from mossy fibers onto granule cells (Hansel et al., 2001; Schweighofer et al., 2001; Gao et al., 2012, 2016; D’Angelo, 2014; but see Rylkova et al., 2015).”
The molecular and systems biology of memory. (2014, unknown): “…that studies of fear learning, eye-blink conditioning, modifications of the vestibular-ocular reflex (Lisberger et al., 1987; Boyden et al., 2006; Gao et al., 2012), as well as experience-dependent modification of reflexes in Aplysia and crayfish, all provide support for the role of both…”