AUTHOR=Bae Hyojin , Park Sa-Yoon , Kim Sang Jeong , Kim Chang-Eop 

TITLE=Cerebellum as a kernel machine: A novel perspective on expansion recoding in granule cell layer

JOURNAL=Frontiers in Computational Neuroscience

VOLUME=Volume 16 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2022.1062392

DOI=10.3389/fncom.2022.1062392

ISSN=1662-5188

ABSTRACT=Sensorimotor information provided by mossy fibers is mapped to high-dimensional space by a huge number of granule cells in the cerebellar cortex's input layer. Significant studies have demonstrated the computational advantages and primary contributor of this expansion recoding. In this study, we propose that representation can be expanded more efficiently if each granule cell serve as a kernel basis function. In addition to the representational capacity of kernel feature space, we would like to highlight that the generation of kernel basis function is indeed biologically plausible scenario, considering that the key idea of kernel machine is to memorize important input patterns. We present potential regimes for locating the kernel basis functions and discuss the advantages and disadvantages of each regime under various simulation settings.