title: Generation of synaptic noise: selective involvement of neuronal subsets.
abstract: All central neurons are subjected to continuous and random variations of their membrane potential because of "spontaneous" activity in their presynaptic afferents. This activity, which is called synaptic noise, is presumed to be responsible for the uncertainty of the input-output relation in these cells. In the Mauthner cell of teleosts, noise is mainly inhibitory, and is generated by the release of neurotransmitter in a probabilistic manner. This inhibitory activity has been studied in detail previously. Taking advantage of this understanding, we have constructed a model of the inhibitory networks and their target in order to determine the conditions required to reproduce the main stochastic aspects of synaptic noise. We have used a combination of computer simulations and simple semianalytical arguments. We conclude that, surprisingly, cells in the presynaptic networks do not contribute equally to these background fluctuations. Rather, noise is generated primarily by the operation of subsets of afferent cells: the spectrum is either dominated by signals originating from interneurons which make few terminals on the Mauthner cell, or by the output of "burster" cells firing spike trains rather than single spikes. Both possibilities lead to specific predictions, one of which has already been verified.
authors.affiliation: INSERM U261, Institut Pasteur, Paris.
authors.forename: M
authors.initials: M
authors.lastname: Kerszberg
authors.forename: H
authors.initials: H
authors.lastname: Korn
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D003198:Computer Simulation; D005399:Fishes; D007395:Interneurons / Q000502:physiology; D008564:Membrane Potentials; D008954:Models, Biological; D009474:Neurons / Q000502:physiology*; D009475:Neurons, Afferent / Q000502:physiology