Dynamic properties of sensory stimulation evoked responses in mouse cerebellar granule cell layer and molecular layer

2015 ◽  
Vol 585 ◽  
pp. 114-118 ◽  
Author(s):  
Yan-Hua Bing ◽  
Guang-Jian Zhang ◽  
Lei Sun ◽  
Chun-Ping Chu ◽  
De-Lai Qiu
Keyword(s):  
Granule Cell ◽  
Cell Layer ◽  
Dynamic Properties ◽  
Molecular Layer ◽  
Sensory Stimulation ◽  
Cerebellar Granule Cell ◽  
Granule Cell Layer ◽  
Evoked Responses ◽  
Cerebellar Granule

Nicotine modulates the facial stimulation-evoked responses in cerebellar granule cell layer in vivo in mice

2019 ◽  
Vol 843 ◽  
pp. 126-133
Author(s):  
Yin-Hua Xu ◽  
Bin-Bin Zhang ◽  
Wen-Hao Su ◽  
Mao-Cheng Wu ◽  
Yan-Hua Bing ◽  
...  
Keyword(s):  
Granule Cell ◽  
Cell Layer ◽  
Cerebellar Granule Cell ◽  
Granule Cell Layer ◽  
Evoked Responses ◽  
Cerebellar Granule

scholarly journals Morphological Alterations in the Cerebellar Granule Cell Layer of Mice Lacking Calretinin

2011 ◽  
Vol 100 (3) ◽  
pp. 82a
Author(s):  
Don Patrick Bischop ◽  
Céline Roussel ◽  
Serge Schiffmann ◽  
David Gall
Keyword(s):  
Granule Cell ◽  
Cell Layer ◽  
Cerebellar Granule Cell ◽  
Granule Cell Layer ◽  
Cerebellar Granule ◽  
Morphological Alterations

scholarly journals Histological assessment of cerebellar granule cell layer in postmortem brain; a useful marker of tissue integrity?

2011 ◽  
Vol 13 (4) ◽  
pp. 521-527 ◽  
Author(s):  
Donna Sheedy ◽  
Antony Harding ◽  
Meichien Say ◽  
Julia Stevens ◽  
Jillian J. Kril
Keyword(s):  
Granule Cell ◽  
Cell Layer ◽  
Cerebellar Granule Cell ◽  
Postmortem Brain ◽  
Granule Cell Layer ◽  
Cerebellar Granule ◽  
Histological Assessment ◽  
Tissue Integrity

Gap Junction Modulation of Low-Frequency Oscillations in the Cerebellar Granule Cell Layer

2017 ◽  
Vol 16 (4) ◽  
pp. 802-811 ◽  
Author(s):  
Jennifer Claire Robinson ◽  
C. Andrew Chapman ◽  
Richard Courtemanche
Keyword(s):  
Gap Junction ◽  
Granule Cell ◽  
Cell Layer ◽  
Low Frequency ◽  
Cerebellar Granule Cell ◽  
Granule Cell Layer ◽  
Cerebellar Granule ◽  
Low Frequency Oscillations

scholarly journals The RacGAP βChimaerin is essential for cerebellar granule cell migration

2017 ◽  
Author(s):  
Jason A. Estep ◽  
Wenny Wong ◽  
Yiu-Cheung E. Wong ◽  
Brian M. Loui ◽  
Martin M. Riccomagno
Keyword(s):  
Granule Cell ◽  
Granule Cells ◽  
Cell Layer ◽  
Outer Part ◽  
Mossy Fibers ◽  
Small Population ◽  
Cerebellar Granule Cell ◽  
Granule Cell Layer ◽  
Radial Migration ◽  
Cerebellar Granule

AbstractDuring mammalian cerebellar development, postnatal granule cell progenitors proliferate in the outer part of the External Granule Layer (EGL). Postmitotic granule progenitors migrate tangentially in the inner EGL before switching to migrate radially inward, past the Purkinje cell layer, to achieve their final position in the mature Granule Cell Layer (GCL). Here, we show that the RacGAP β-chimaerin is expressed by a small population of late-born, premigratory granule cells. β-chimaerin deficiency causes a subset of granule cells to become arrested in the EGL, where they differentiate and form ectopic neuronal clusters. These clusters of granule cells are able to recruit aberrantly projecting mossy fibers. Collectively, these data suggest a role for β-chimaerin as an intracellular mediator of Cerebellar Granule Cell radial migration.

scholarly journals Morphological constraints on cerebellar granule cell combinatorial diversity

2017 ◽  
Author(s):  
Jesse I. Gilmer ◽  
Abigail L. Person
Keyword(s):  
Granule Cell ◽  
Granule Cells ◽  
Cell Layer ◽  
Mossy Fiber ◽  
Mossy Fibers ◽  
Cerebellar Granule Cell ◽  
Granule Cell Layer ◽  
Information Encoding ◽  
Cerebellar Granule ◽  
Local Sampling

AbstractCombinatorial expansion by the cerebellar granule cell layer (GCL) is fundamental to theories of cerebellar contributions to motor control and learning. Granule cells sample approximately four mossy fiber inputs and are thought to form a combinatorial code useful for pattern separation and learning. We constructed a spatially realistic model of the cerebellar granule cell layer and examined how GCL architecture contributes to granule cell (GrC) combinatorial diversity. We found that GrC combinatorial diversity saturates quickly as mossy fiber input diversity increases, and that this saturation is in part a consequence of short dendrites, which limit access to diverse inputs and favor dense sampling of local inputs. This local sampling also produced GrCs that were combinatorially redundant, even when input diversity was extremely high. In addition, we found that mossy fibers clustering, which is a common anatomical pattern, also led to increased redundancy of GrC input combinations. We related this redundancy to hypothesized roles of temporal expansion of GrC information encoding in service of learned timing, and show that GCL architecture produces GrC populations that support both temporal and combinatorial expansion. Finally, we used novel anatomical measurements from mice of either sex to inform modeling of sparse and filopodia-bearing mossy fibers, finding that these circuit features uniquely contribute to enhancing GrC diversification and redundancy. Our results complement information theoretic studies of granule layer structure and provide insight into the contributions of granule layer anatomical features to afferent mixing.Significance StatementCerebellar granule cells are among the simplest neurons, with tiny somata and on average just four dendrites. These characteristics, along with their dense organization, inspired influential theoretical work on the granule cell layer (GCL) as a combinatorial expander, where each granule cell represents a unique combination of inputs. Despite the centrality of these theories to cerebellar physiology, the degree of expansion supported by anatomically realistic patterns of inputs is unknown. Using modeling and anatomy, we show that realistic input patterns constrain combinatorial diversity by producing redundant combinations, which nevertheless could support temporal diversification of like-combinations, suitable for learned timing. Our study suggests a neural substrate for producing high levels of both combinatorial and temporal diversity in the GCL.

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