This paper proposes a hypothetical computational mechanism for unified gain and timing control in the cerebellum. The hypothesis is justified by computer simulations of a large-scale spiking network model of the cerebellum.
Model Type: Realistic Network
Region(s) or Organism(s): Cerebellum
Cell Type(s): Cerebellum Purkinje GABA cell; Cerebellum interneuron granule GLU cell; Cerebellum golgi cell; Cerebellum deep nucleus neuron
Model Concept(s): Spatio-temporal Activity Patterns; Detailed Neuronal Models; Learning; Sensory processing
Simulation Environment: C or C++ program
Implementer(s): Yamazaki, Tadashi
References:
Yamazaki T, Tanaka S. (2007). A spiking network model for passage-of-time representation in the cerebellum. The European journal of neuroscience 26 [PubMed]
Yamazaki T, Nagao S. (2012). A computational mechanism for unified gain and timing control in the cerebellum. PloS one 7 [PubMed]