title: Burst synchrony patterns in hippocampal pyramidal cell model networks.
abstract: Types of. mechanisms for and stability of synchrony are discussed in the context of two-compartment CA3 pyramidal cell and interneuron model networks. We show how the strength and timing of inhibitory and excitatory synaptic inputs work together to produce either perfectly synchronized or nearly synchronized oscillations, across different burst or spiking modes of firing. The analysis shows how excitatory inputs tend to desynchronize cells, and how common, slowly decaying inhibition can be used to synchronize them. We also introduce the concept of 'equivalent networks' in which networks with different architectures and synaptic connections display identical firing patterns.
authors.affiliation: Department of Mathematical Sciences, Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark 07102-1982, USA. vbooth@m.njit.edu
authors.forename: Victoria
authors.initials: V
authors.lastname: Booth
authors.forename: Amitabha
authors.initials: A
authors.lastname: Bose
mesh_terms: D000200:Action Potentials / Q000502:physiology; D006624:Hippocampus / Q000166:cytology / Q000502:physiology*; D007395:Interneurons; D009431:Neural Conduction; D009433:Neural Inhibition; D016571:Neural Networks, Computer; D009991:Oscillometry; D010363:Pattern Recognition, Automated; D010507:Periodicity; D017966:Pyramidal Cells / Q000502:physiology*; D013569:Synapses / Q000502:physiology; D013997:Time Factors