The Cerebellum as a Neuronal Machine

By P. Eccles, Dr. M. Ito, P. D. J. Szentágothai. 1967

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Re-evaluating circuit mechanisms underlying pattern separation (2019, positive): “In the cerebellum, individual mossy fibre axons form up to 200 ‘en passant’ boutons (Wu et al., 1999) and the ratio of mossy fibre boutons to cerebellar granule cells is 1:2.9 in rats (Billings et al., 2014), giving an expansion ratio of roughly 1:600 (Eccles et al., 1967).”
Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. (2010, background): “…a model in which the cerebellum applies a particular computational function to information from a range of cortical areas, rather than having a functional specialization itself—motor, cognitive, or otherwise (Eccles et al. 1967; Bloedel 1992; Schmahmann and Sherman 1998; Ramnani 2006; Ito 2008).”
Updated Energy Budgets for Neural Computation in the Neocortex and Cerebellum (2012, background): “For the much smaller granule cells, which each receive a far smaller number of excitatory synaptic inputs (B4: Eccles et al, 1967), but have to maintain the resting potential of a very long (B4.”
Pathway-Specific Drive of Cerebellar Golgi Cells Reveals Integrative Rules of Cortical Inhibition (2018, background): “Theory has long posited a role for GoCs in regulating GrC population activity (Eccles et al., 1967; Marr, 1969), proposing that they respond dynamically to varying input levels to modulate all local GrC thresholds, but data testing key assumptions of this view have been lacking.”
elife.elifesciences.org RESEARCH ARTICLE Convergence of pontine and (2013, unknown): “neurons, having on average only four dendrites, each of which receives a single, large, excitatory mossy fiber input (Gray, 1961; Eccles et al., 1967; Palay and Chan-Palay, 1974; Jakab and Hamori, 1988).”
Cerebellar cortex: its simulation and the relevance of Marr's theory. (1992, background): “The key parameters are the shape and dimensions of the dendritic tree, about which there is little disagreement (Eccles et al. 1967; Ito 1984).”
Neural substrates of eyeblink conditioning: acquisition and retention. (2003, background): “cortex as an exemplary neural learning machine was driven by the confluence of several factors, including clinical evidence of cerebellar involvement in the acquisition and production of skilled movements and anatomical data showing the unique geometry of cortical cell populations with access to ext”
Control of cerebellar granule cell output by sensory-evoked Golgi cell inhibition (2015, background): “This feed-forward inhibitory circuit has been suggested on anatomical grounds (15), with in vitro studies demonstrating that disynaptic FFI from Golgi cells can influence the latency and precision of granule-cell responses to mossy fiber stimulation (6, 14, 49).”
Multimodal integration in granule cells as a basis for associative plasticity and sensory prediction in a cerebellum-like circuit. (2010, background): “Given the known timing dependence of associative depression at PF-MG cell synapses, it can be seen that multimodal PFs tuned”
Exploring the Thalamus and its Role in Cortical Function, S.M. Sherman, R.W. Guillery (Eds.). The MIT Press (2006), ISBN: 0-262-19532-1 (2007, background): “…this argument, it is useful to look at other wellcharacterized axonal terminal patterns, such as those in the cerebellum, where the morphology of the terminal arbor can be clearly related to the way in which a particular class of axon establishes its synaptic relationships (Eccles et al., 1967).”
Pitch discrimination in cerebellar patients: evidence for a sensory deficit. (2009, unknown): “The difficulty with this proposal, as discussed by various commentators (e.g., Eccles et al., 1967; Dow, 1974; Bloedel, 1992; Ramnani, 2006; Ito, 2006), is that it assumes that distinctly different core computations are performed by a neuronal circuitry that is remarkably anatomically and…”
The cerebellar microcircuit as an adaptive filter: experimental and computational evidence (2010, background): “jpg" NDATA ITEM> ]> In 1967, Eccles, Ito and Szentagothai published their landmark book The Cerebellum as a Neuronal Machine”
Getting formal with dopamine and reward. (2002, unknown): “…transmits a reward prediction error, has a rather short latency, fails to discriminate betweenkinje cells during motor and aversive learning (Eccles et al., 1967; Marr, 1969; Ito, 1989; Kawato and Gomi, different rewards, and is broadcast as a global, diverging signal to postsynaptic…”