TY - JOUR T1 - Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models A1 - Clopath, Claudia A1 - Nadal, Jean-Pierre A1 - Brunel, Nicolas Y1 - 2012/04/26 N2 - Author Summary The cerebellum is one of the main brain structures involved in motor learning. Classical theories of cerebellar function assign a crucial role to Purkinje cells (PCs), that are assumed to perform as simple perceptrons. In these theories, PCs should learn to provide an appropriate motor output, given a particular input, encoded by the granule cell (GC) network. This learning is assumed to occur through modifications of synapses, under the control of the climbing fiber input to PCs, which is supposed to carry an error signal. In this paper, we compute storage capacity and distribution of weights in the presence of temporal correlations in inputs and outputs, which are unavoidable in sensory inputs and motor outputs. Furthermore, we study how bistability in the PCs affects capacity and distribution of weights. We find that (1) capacity increases monotonically with both input and output correlations; (2) bistability increases storage capacity, when the output correlation is larger than the input correlation; (3) the distribution of weights at maximal capacity is independent of the degree of temporal correlations, as well as the nature of the output unit (mono or bistable) and is in striking agreement with experimental data. JF - PLOS Computational Biology JA - PLOS Computational Biology VL - 8 IS - 4 UR - https://doi.org/10.1371/journal.pcbi.1002448 SP - e1002448 EP - PB - Public Library of Science M3 - doi:10.1371/journal.pcbi.1002448 ER -