Multiphasic neuronal transfer functions for representing temporal structure

Neural network models of timing have struggled to account for animal timing capabilities using the accepted connectionist assumptions, in most cases without postulating the existence of explicit neuronal time-keeping mechanisms. Current ethological and physiological data, however, suggest that cellular oscillators form the foundation for animals’ temporal capacities. We propose that these oscillators could be used as temporal filters that capture the temporal structure of the animal’s experience. A model is presented that accounts for a number of the salient features of the feeding anticipatory response with only a single circadian filter. This model goes beyond current entrainment models in that it correctly predicts the relationship between the feeding period and the anticipatory interval. An alternative approach using multiple filters is examined that can account for animals’ ability to correctly anticipate two daily feeding times.