Spike alignment in bursting neurons
Neurocomputing
Messages of oscillatory correlograms: A spike train model
Neural Computation
Determining burst firing time distributions from multiple spike trains
Neural Computation
Local context discrimination in signature neural networks
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Flexible entrainment in a bio-inspired modular oscillator for modular robot locomotion
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Communication by identity discrimination in bio-inspired multi-agent systems
Concurrency and Computation: Practice & Experience
Hi-index | 0.00 |
Recent experiments have revealed the existence of neural signatures in the activity of individual cells of the pyloric central pattern generator (CPG) of crustacean. The neural signatures consist of cell-specific spike timings in the bursting activity of the neurons. The role of these intraburst neural fingerprints is still unclear. It has been reported previously that some muscles can reflect small changes in the spike timings of the neurons that innervate them. However, it is unclear to what extent neural signatures contribute to the command message that the muscles receive from the motoneurons. It is also unknown whether the signatures have any functional meaning for the neurons that belong to the same CPG or to other interconnected CPGs. In this paper, we use realistic neural models to study the ability of single cells and small circuits to recognize individual neural signatures. We show that model cells and circuits can respond distinctly to the incoming neural fingerprints in addition to the properties of the slow depolarizing waves. Our results suggest that neural signatures can be a general mechanism of spiking–bursting cells to implement multicoding.