The cerebellar microcircuit as an adaptive filter: experimental and computational evidence

By Paul Dean, John Porrill, Carl-Fredrik Ekerot, Henrik Jörntell. 2010

413 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology, Sensory Systems

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Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “The evolutionarily conserved, highly regular structure of the cerebellar cortex has encouraged much speculation as to how the computations required for these functions are achieved (Figure 2A; Braitenberg, 1961; Eccles et al., 1967; Marr, 1969; Albus, 1971; Fujita, 1982; Pellionisz and Llinas, 1982;”
Dopaminergic neurons write and update memories with cell-type-specific rules (2016, background): “DOI: 10.7554/eLife.16135.001”
A connectome of a learning and memory center in the adult Drosophila brain (2017, background): “, 2015b), suggesting the possibility that the majority of KC>MBON synapses are functionally silent, as they are in cerebellar cortex, where 98% of the parallel fiber-to-Purkinje cell synapses are believed to be silent (Dean et al., 2010).”
Synaptic plasticity as Bayesian inference (2021, background): “This is not too implausible — the cerebellum does contain a large number of Purkinje cells [13] that are believed to use supervised learning to, among other things, make predictions.”
Population-scale organization of cerebellar granule neuron signaling during a visuomotor behavior (2017, background): “8a, reciprocal + half-wave), or equivalently if positive half-wave rectified cells are able to drive inhibition of Purkinje cells through disynaptic inputs through stellate or basket cells (Barmack and Yakhnitsa, 2008; Dean et al., 2010).”
Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex (2016, background): “An array of Purkinje cells that compose a functional microzone, and which targets the same group of cells in the efferent cerebellar nucleus and therefore can be considered a Bsuper^-Purkinje cell, has a tremendous associative power [91].”
Excitatory Cerebellar Nucleocortical Circuit Provides Internal Amplification during Associative Conditioning (2016, neutral): “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.”
At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters (2015, background): “This is compatible with the cerebellar ‘chip’metaphor [56] where microzones are indicated to implement separate functions [4].”
Cerebellar supervised learning revisited: biophysical modeling and degrees-of-freedom control. (2011, neutral): “com neurons in the cerebellar cortex [6,7].”
Synaptic sampling: A connection between PSP variability and uncertainty explains neurophysiological observations (2015, background): “This is not too implausible — the cerebellum does contain a large number of Purkinje cells [21] that are believed to use supervised learning to, amoung other things, make predictions (though perhaps not about landing location).”
Consensus Paper: The Cerebellum's Role in Movement and Cognition (2013, methodology): “Two types of computational model of the cerebellum have been developed: network models (such as the Simple Perceptron [228] and adaptive filters [229, 230] and control system models (such as the adaptive control [231] and modelbased control [193]).”
Are mushroom bodies cerebellum-like structures? (2011, background): “…turn serves to enhance perception of novel sensory stimuli (Bastian, 1996a; Bell, 2001; Bell et al., 1999, 2008; Bodznick et al., 1999; Devor, 2000; Oertel and Young, 2004; Dean and Porrill, 2008; Roberts and Portfors, 2008; Sawtell and Williams, 2008; Zhang and Bodznick, 2008; Dean et al., 2009).”