Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study

Since the pioneering work of Fatt and Katz at the neuromuscular junction (NMJ), spontaneous synaptic release (minis), that is, the quantal discharge of neurotransmitter molecules which occurs in the absence of action potentials, has been unanimously considered a memoryless random Poisson process whe...

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Main Authors: Jacopo Lamanna, Antonio Malgaroli, Sergio Cerutti, Maria G. Signorini
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2012/704673
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spelling doaj-9f8a8d219e464ee99d0c97bdde9b405b2020-11-24T23:11:57ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732012-01-01201210.1155/2012/704673704673Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility StudyJacopo Lamanna0Antonio Malgaroli1Sergio Cerutti2Maria G. Signorini3Department of Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyNeurobiology of Learning Unit, Scientific Institute San Raffaele and Università Vita e Salute San Raffaele, Via Olgettina 58, 20132 Milano, ItalyDepartment of Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyDepartment of Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalySince the pioneering work of Fatt and Katz at the neuromuscular junction (NMJ), spontaneous synaptic release (minis), that is, the quantal discharge of neurotransmitter molecules which occurs in the absence of action potentials, has been unanimously considered a memoryless random Poisson process where each quantum is discharged with a very low release probability independently from other quanta. When this model was thoroughly tested, for both population and single-synapse recordings, some clear evidence in favor of a more complex scenario emerged. This included short- and long-range correlation in mini occurrences and divergence from mono-exponential inter-mini-interval distributions, both unexpected for a homogeneous Poisson process, that is, with a rate parameter that does not change over time. Since we are interested in accurately quantifying the fractal exponent α of the spontaneous neurotransmitter release process at central synaptic sites, this work was aimed at evaluating the sensitivity of the most established methods available, such as the periodogram, the Allan, factor and the detrended fluctuation analysis. For this analysis we matched spontaneous release series recorded at individual hippocampal synapses (single-synapse recordings) to generate large collections of simulated quantal events by means of a custom algorithm combining Monte Carlo sampling methods with spectral methods for the generation of 1/f series. These tests were performed by varying separately: (i) the fractal exponent α of the rate driving the release process; (ii) the distribution of intervals between successive releases, mimicking those encountered in single-synapse experimental series; (iii) the number of samples. The aims were to provide a methodological framework for approaching the fractal analysis of single-unit spontaneous release series recorded at central synapses.http://dx.doi.org/10.1155/2012/704673
collection DOAJ
language English
format Article
sources DOAJ
author Jacopo Lamanna
Antonio Malgaroli
Sergio Cerutti
Maria G. Signorini
spellingShingle Jacopo Lamanna
Antonio Malgaroli
Sergio Cerutti
Maria G. Signorini
Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study
Computational Intelligence and Neuroscience
author_facet Jacopo Lamanna
Antonio Malgaroli
Sergio Cerutti
Maria G. Signorini
author_sort Jacopo Lamanna
title Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study
title_short Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study
title_full Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study
title_fullStr Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study
title_full_unstemmed Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study
title_sort detection of fractal behavior in temporal series of synaptic quantal release events: a feasibility study
publisher Hindawi Limited
series Computational Intelligence and Neuroscience
issn 1687-5265
1687-5273
publishDate 2012-01-01
description Since the pioneering work of Fatt and Katz at the neuromuscular junction (NMJ), spontaneous synaptic release (minis), that is, the quantal discharge of neurotransmitter molecules which occurs in the absence of action potentials, has been unanimously considered a memoryless random Poisson process where each quantum is discharged with a very low release probability independently from other quanta. When this model was thoroughly tested, for both population and single-synapse recordings, some clear evidence in favor of a more complex scenario emerged. This included short- and long-range correlation in mini occurrences and divergence from mono-exponential inter-mini-interval distributions, both unexpected for a homogeneous Poisson process, that is, with a rate parameter that does not change over time. Since we are interested in accurately quantifying the fractal exponent α of the spontaneous neurotransmitter release process at central synaptic sites, this work was aimed at evaluating the sensitivity of the most established methods available, such as the periodogram, the Allan, factor and the detrended fluctuation analysis. For this analysis we matched spontaneous release series recorded at individual hippocampal synapses (single-synapse recordings) to generate large collections of simulated quantal events by means of a custom algorithm combining Monte Carlo sampling methods with spectral methods for the generation of 1/f series. These tests were performed by varying separately: (i) the fractal exponent α of the rate driving the release process; (ii) the distribution of intervals between successive releases, mimicking those encountered in single-synapse experimental series; (iii) the number of samples. The aims were to provide a methodological framework for approaching the fractal analysis of single-unit spontaneous release series recorded at central synapses.
url http://dx.doi.org/10.1155/2012/704673
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