Neural Modeling of an Internal Clock
Neural Computation
2007 Special Issue: The cerebellum as a liquid state machine
Neural Networks
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We have developed a network model of cerebellar cortex, in which granular cells' activities represent a passage of time from the onset of a conditioned stimulus (CS) Long-term depression of parallel fiber synapses at Purkinje cells (PCs) encodes an interstimulus interval between onsets of a CS and an unconditioned stimulus (US) as cessation of PC firing, resulting in the emission of a conditioned response (CR) from cerebellar nucleus neurons In this study, we show that a change in the strength of a CS extends or compresses spike trains of granule cells in the time dimension, suggesting controllability of CR timings flexibly after conditioning Because PCs alone are insufficient to read out a modified interstimulus interval, we add stellate cells (SCs) inhibiting PCs Thereby, after conditioning, PCs are shown to stop firing earlier or later than the US timing for a CS stronger or weaker than the CS during conditioning.