Cerebellum-like structures and their implications for cerebellar function.

By C. Bell, V. Han, Nathaniel B. Sawtell. 2008

287 citations recorded by the source corpus.

Subfields: Cell Biology, Molecular Biology, Neurology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cell Biology

1. David W. Tank
2. Nathaniel B. Sawtell
3. S. Farris

In Molecular Biology

1. S. Wang
2. David W. Tank
3. Jeffrey C. Magee
4. Nathaniel B. Sawtell
5. S. Farris
6. Christine Grienberger

In Neurology

1. S. Farris
2. David W. Tank
3. S. Wang
4. Jeffrey C. Magee
5. Nathaniel B. Sawtell
6. Christine Grienberger

Citations in the corpus

• Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “, 2016) and electrosensory system of weakly electric fish (Sawtell, 2010), which have a ‘cerebellar-like’ circuitry (Oertel and Young, 2004; Bell et al., 2008; Kennedy et al., 2014; Singla et al., 2017).”
• Synaptic Plasticity Forms and Functions. (2020, background): “These structures appear similar to a multilayer network, which theoretically requires them to make or find a signal that can be used to appropriately adjust hidden-layer synaptic weights (Bell et al. 2008, Enikolopov et al. 2018, Muller et al. 2019) ( Figure 2 c , d ).”
• Early multisensory integration of self and source motion in the auditory system (2016, background): “Like our proposed role of the DCN in discriminating between sound movement and body movement, the DON has long been known for its role in discriminating between external and self-generated electric fields (1, 36).”
• Optimal degrees of synaptic connectivity (2017, unknown): “…shared by neurons that play roles analogous to granule cells in other neural circuits with cerebellum-like structures, such as the dorsal cochlear nucleus, the electrosensory lobe of electric fish, and the insect mushroom body (Mugnaini et al., 1980; Bell et al., 2008; Keene and Waddell, 2007).”
• Multimodal integration in granule cells as a basis for associative plasticity and sensory prediction in a cerebellum-like circuit. (2010, background): “Cerebellum-like sensory structures in fish integrate somatotopic input from electroreceptors with an array of sensory and motor signals conveyed by a mossy fiber-granule cell-parallel fiber (MF-GC-PF) system similar to that found in the cerebellum (Bell et al., 2008) (Figure 1).”
• Are mushroom bodies cerebellum-like structures? (2011, background): “, 1998), has a nearly identical counterpart in vertebrate brain regions that have been termed cerebellum-like structures, which are likewise defined by a molecular layer formed by parallel fibers arising from masses of granule cells (Bell et al., 2008).”
• Perceptual Predictions about External Sensory Events (2013, unknown): “Given the characteristic properties of cerebellar processing [9, 24, 30, 31, 36, 39], our results could bemore specifically explained by patients’ inability to adjust the timing of a sensory prediction to account for the experimentally induced prediction error in the temporal domain.”
• Pitch discrimination in cerebellar patients: evidence for a sensory deficit. (2009, unknown): “However, because of the close association between cerebellum and auditory system at a developmental and genetic level (Altman and Bayer, 1997; Bell et al., 2008), it cannot be excluded that the pitch discrimination impairments might be caused by some degree of concurrent degeneration in the…”
• Widespread State-Dependent Shifts in Cerebellar Activity in Locomoting Mice (2012, background): “The manner in which these pathways converge has led to the suggestion that the cerebellum guides action as a prediction or correction circuit [1].”