Serial processing of kinematic signals by cerebellar circuitry during voluntary whisking
By Susu Chen, G. Augustine, Paul Chadderton. 2017
51 citations recorded by the source corpus.
Purkinje cells (PCs) in Crus 1 represent whisker movement via linear changes in firing rate, but the circuit mechanisms underlying this coding scheme are unknown. Here we examine the role of upstream inputs to PCs—excitatory granule cells (GCs) and inhibitory molecular layer interneurons—in processing of whisking signals. Patch clamp recordings in GCs reveal that movement is accompanied by changes in mossy fibre input rate that drive membrane potential depolarisation and high-frequency bursting activity at preferred whisker angles. Although individual GCs are narrowly tuned, GC populations provide linear excitatory drive across a wide range of movement. Molecular layer interneurons exhibit bidirectional firing rate changes during whisking, similar to PCs. Together, GC populations provide downstream PCs with linear representations of volitional movement, while inhibitory networks invert these signals. The exquisite sensitivity of neurons at each processing stage enables faithful propagation of kinematic representations through the cerebellum. Cerebellar Purkinje cells (PCs) linearly encode whisker position but the precise circuit mechanisms that generate these signals are not well understood. Here the authors use patch clamp recordings to show that selective tuning of granule cell inputs and bidirectional tuning of interneuron inputs are required to generate the kinematic representations in PCs.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems
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Citations in the corpus
- Re-evaluating circuit mechanisms underlying pattern separation (2019, positive): “But this concept has been challenged based on the temporally dense activity of single granule cells recorded in vivo (Chadderton et al., 2004; Jörntell and Ekerot, 2006; Spanne and Jörntell, 2015; Chen et al., 2017).”
- Computational Principles of Supervised Learning in the Cerebellum (2018, unknown): “…cerebellar circuit, including mossy fibers (Laurens et al. 2013, Lisberger & Fuchs 1978), granule cells (Arenz et al. 2009, Chadderton et al. 2014, Chen et al. 2017, Powell et al. 2015), MLIs (Chen et al. 2017, Gaffield & Christie 2017, Jelitai et al. 2016, ten Brinke et al. 2015), Purkinje cells…”