Trends in Neurosciences
ReviewTiming and plasticity in the cerebellum: focus on the granular layer
Section snippets
The cerebellum and timing of movements
The cerebellum is a brain structure of crucial importance for sensorimotor control, and its disruption causes a dramatic neurological syndrome called ataxia (the paradigmatic symptoms were first outlined by L. Luciani in 1891 [1] and then extended by clinicians such as J.F.F. Babinski, P. Marie and G. Holmes; for a review including a historical recollection see Ref. [2]). Over the last decades the cerebellum has also been suggested to be involved in cognitive and emotional functions 3, 4, 5,
Principles of granular layer processing: highlights and problems
The perspective that we will take in this review is to consider cerebellar processing starting from the granular layer circuit. Understanding how the granular layer processes incoming information is crucial because its sole output, the granule cell axon (parallel fiber system), forms one of the main inputs to the Purkinje cell, which, in turn, forms the sole output unit of the cerebellar cortex as a whole (Figure 1). The granular layer receives many sorts of converging information originating
The impact of inhibition on timing in the granular layer
It wasn’t until the potential roles of the Golgi cells were considered in detail that the granular layer was proposed to process input temporal patterns 44, 45. In fact, systematic analysis of the potential effects of Golgi cell inhibition enables the identification of the fundamental properties of inhibition that can influence temporal aspects of network properties [46], namely feedforward inhibition, feedback inhibition and lateral inhibition. In addition, by controlling the level of granule
The impact of neuronal electroresponsiveness on timing in the granular layer
Together with circuit organization, neuronal electroresponsiveness can also have a profound impact on timing. A main consequence of the intrinsic properties of granule cells and Golgi cells is to enhance burst generation. The importance of this mechanism could be that of generating reliable and strong responses to the high-frequency bursts of impulses entering the granular layer through the mossy fibers 29, 38, 39, 53. Bursts are intensified by specific ionic mechanisms including the resurgent
The impact of plasticity on temporal processing in the granular layer: the ‘window-matching’ hypothesis
The cerebellum has several forms of synaptic plasticity and intrinsic excitable mechanisms that might fine-tune its temporal control, the most renown of which is LTD at the parallel fiber–Purkinje cell synapse 57, 58, 59. To date, in the granular layer, the most robust form is the bidirectional NMDA-receptor-dependent plasticity that has been described at the mossy fiber to granule cell synapse 47, 60, 61, 62, 63, 64, 65 (Figure 2). At this synapse, both LTP and also, probably, LTD are
Transferring temporal codes to Purkinje cells and molecular layer interneurons
To process the afferent signals generated during ongoing movements, the cerebellar network needs to be tuned toward the appropriate spike codes 69, 41. The temporal resolution of somatosensory processing in afferent pathways is typically in the range of ∼5 ms, in that the latency to the first spikes shows such a level of variation [40]. Interestingly, this resolution matches the minimum time window that can be set by Golgi cells and the regulatory range of the LTP/LTD mechanism. The precision in
Temporal patterns in Purkinje cells and behavioural relevance
In the previous sections, we explained why cellular and network properties of the granular layer are well designed to control the distribution of temporally relevant mossy fiber signals. The question remains as to how this function of the granule cell layer might contribute to the overall function of the cerebellum. Because Purkinje cells form the sole output of the cerebellar cortex, it is parsimonious to also explain the role of the granule cell layer from the perspective of Purkinje cell
Timing and the modular organization of cerebellar motor output
If it is indeed the precise temporal coding in Purkinje cells that plays an important part in controlling motor behavior, it becomes difficult to understand how Purkinje cells influence the DCN neurons unless they do so in a coherent fashion within a cerebellar module (we recall that modules assemble cortical microzones within specific extracerebellar circuits comprising the inferior olive and DCN; for anatomical and functional definitions see Refs 5, 8, 10). In other words, if Purkinje cells
Granular layer dynamics with tonic mossy fiber discharge
Although bursting is a characteristic modality of mossy fiber discharge evoked in isolation during punctuate stimulation, more complex sensory inputs can evoke a mixture of phasic, phasic-tonic and tonic patterns along different mossy fibers. This has been shown for various sensory pathways, including those originating from muscle spindles, skin and vestibular organs 59, 95, 96, 97, 98. What will be the impact of tonic discharge on the window-matching mechanism? Computational modeling predicts
A summary of concepts and conclusions
The granular layer has the potential to process incoming mossy fiber signals at the millisecond time scale generating an impressive number of spatio-temporal patterns through learning. Most remarkably, we propose that feedforward Golgi cell inhibition generates a permissive time window of ∼5 ms through which spikes can be optimally channeled to Purkinje cells. LTP and LTD at the mossy-fiber–granule-cell synapse would serve to determine whether excitatory postsynaptic potential temporal summation
Acknowledgements
This work has matured through continuous discussions with members of our laboratories. Particular thanks go to P. Rossi, L. Forti, F. Prestori, J. Mapelli, S. Solinas, S. Diwakar, E. Cesana, D. Gandolfi, P. Lombardo and F. Hoebeek. This work was supported by the joined EU project SENSOPAC, by the EU project CYBERRAT and the CNISM (Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia) project NEUROIMAGE to E.D., and by the Prinses Beatrix Fonds, Zon-MW and Neuro-Bsik
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