title: Bursting reverberation as a multiscale neuronal network process driven by synaptic depression-facilitation.
abstract: Neuronal networks can generate complex patterns of activity that depend on membrane properties of individual neurons as well as on functional synapses. To decipher the impact of synaptic properties and connectivity on neuronal network behavior, we investigate the responses of neuronal ensembles from small (5-30 cells in a restricted sphere) and large (acute hippocampal slice) networks to single electrical stimulation: in both cases, a single stimulus generated a synchronous long-lasting bursting activity. While an initial spike triggered a reverberating network activity that lasted 2-5 seconds for small networks, we found here that it lasted only up to 300 milliseconds in slices. To explain this phenomena present at different scales, we generalize the depression-facilitation model and extracted the network time constants. The model predicts that the reverberation time has a bell shaped relation with the synaptic density, revealing that the bursting time cannot exceed a maximum value. Furthermore, before reaching its maximum, the reverberation time increases sub-linearly with the synaptic density of the network. We conclude that synaptic dynamics and connectivity shape the mean burst duration, a property present at various scales of the networks. Thus bursting reverberation is a property of sufficiently connected neural networks, and can be generated by collective depression and facilitation of underlying functional synapses.
authors.forename: Khanh
authors.initials: K
authors.lastname: Dao Duc
authors.affiliation: Ecole Normale Supérieure, IBENS 46 rue d'Ulm 75005 Paris, France.
authors.forename: K
authors.initials: K
authors.lastname: Dao Duc
authors.forename: Chun-Yao
authors.initials: CY
authors.lastname: Lee
authors.affiliation: Neuroglial Interactions in Cerebral Physiopathology; Center for Interdisciplinary Research in Biology; CNRS UMR 7241; INSERM U1050; College de France; Paris, France.
authors.forename: C Y
authors.initials: CY
authors.lastname: Lee
authors.affiliation: Ecole Normale Supérieure, IBENS 46 rue d'Ulm 75005 Paris, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Parutto
authors.affiliation: Department of Neurobiology, Weizmann Institute 76100 Rehovot Israel.
authors.forename: Dror
authors.initials: D
authors.lastname: Cohen
authors.affiliation: Department of Neurobiology, Weizmann Institute 76100 Rehovot Israel.
authors.forename: Menahem
authors.initials: M
authors.lastname: Segal
authors.affiliation: Neuroglial Interactions in Cerebral Physiopathology; Center for Interdisciplinary Research in Biology; CNRS UMR 7241; INSERM U1050; College de France; Paris, France.
authors.forename: Nathalie
authors.initials: N
authors.lastname: Rouach
authors.affiliation: Ecole Normale Supérieure, IBENS 46 rue d'Ulm 75005 Paris, France.
authors.forename: David
authors.initials: D
authors.lastname: Holcman
mesh_terms: D004558:Electric Stimulation; D006624:Hippocampus / Q000378:metabolism*; D006801:Humans; D036881:Long-Term Synaptic Depression / Q000502:physiology; D008962:Models, Theoretical; D009474:Neurons / Q000378:metabolism*; D013569:Synapses / Q000502:physiology*