A Theory of Cerebellar Function

By James S. Albus. 1971

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Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “Second, substantial theoretical work based on Marr-Albus theory has shown that the circuitry of the input layer of the cerebellar cortex is well suited for pattern separation (Marr, 1969; Albus, 1971; Kanerva, 1988; Tyrrell and Willshaw, 1992; Billings et al., 2014; Cayco-Gajic et al., 2017; Litwin-”
Submillisecond kinetics and low efficacy of parallel fibre‐Golgi cell synaptic currents in the rat cerebellum (1998, background): “This would preserve the calculation and discrimination potency of the Purkinje cells even at high firing rates, as predicted by both Marr (1969) and Albus (1971).”
Pattern separation, completion, and categorisation in the hippocampus and neocortex. (2016, background): “Networks of this type may be implemented in the other brain systems such as the cerebellum, in which the parallel fibres represented the input, the Purkinje cells the output, and the climbing fibres the error-correcting teacher (Albus, 1971; Ito, 1984, 2006; Marr, 1969; Rolls & Treves, 1998).”
elife.elifesciences.org RESEARCH ARTICLE Convergence of pontine and (2013, unknown): “David Marr and James Albus proposed that by mixing mossy fiber inputs, granule cells could perform such ‘expansion recoding’, enabling them to contribute to pattern separation and consequently to be fundamental for motor learning (Marr, 1969; Blomfield and Marr, 1970; Albus, 1971).”
A History of Spike-Timing-Dependent Plasticity (2011, background): “Some predicted that cerebellar parallel fiber inputs should strengthen when activated simultaneously with climbing fibers, whereas others argued that they should weaken: Brindley (1964), Marr (1969), and Grossberg (1969) voted in favor of potentiation, while Albus (1971) argued for depression.”
Reinforcement Learning in Continuous State and Action Spaces (2012, methodology): “…of such a discretizing method that is often used inrei forcement learning istile coding (Watkins, 1989; Lin and Kim, 1991; Sutton, 1996; Santamaria et al, 1997; Sutton and Barto, 1998), which is based on the Cerebellar Model Articulation Controller (CMAC) structure proposed by Albus (1971, 1975).”
Recent Advances in Physical Reservoir Computing: A Review (2018, background): “The classical hypothesis is that the cerebellum is a learning device, such as a simple perceptron (Albus, 1971; Marr, 1969).”
Shared cortex-cerebellum dynamics in the execution and learning of a motor task (2019, unknown): “This basic, conserved anatomical feature is thought to allow the GrC layer to produce outputs highly distinct from those of cortex (Albus, 1971; Babadi and Sompolinsky, 2014; Billings et al., 2014; Cayco-Gajic et al., 2017; Chabrol et al., 2015; Litwin-Kumar et al., 2017; Marr, 1969).”