Neural dynamics of cross-modal and cross-temporal associations
We have studied a neurodynamic model of cross-modal and cross-temporal associations.
We show that a network of integrate-and-fire neurons can generate spiking activity with
realistic dynamics during the delay period of a paired associates task. In particular, the
activity of the model resembles reported data from single-cell recordings in the prefrontal
cortex.
We show that a network of integrate-and-fire neurons can generate spiking activity with
realistic dynamics during the delay period of a paired associates task. In particular, the
activity of the model resembles reported data from single-cell recordings in the prefrontal
cortex.
Abstract
We have studied a neurodynamic model of cross-modal and cross-temporal associations. We show that a network of integrate-and-fire neurons can generate spiking activity with realistic dynamics during the delay period of a paired associates task. In particular, the activity of the model resembles reported data from single-cell recordings in the prefrontal cortex.
Springer
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