Synchronized spike selection in a hippocampal dentate gyrus network model in the theta frequency range

We propose a neural network model in which synchronized periodic synaptic inputs in the theta frequency range selectively pass. Random synaptic inputs contributed to the proposed signal filtering. When all granule cells received only synchronized periodic input, the network model worked as the low pass filter. When an adequate number of granule cells received synchronized periodic inputs and the rest of the granule cells received random inputs, the network model worked as the band-pass filter. The bandwidth was consistent with the frequency range of the theta rhythm.