Phase analysis method for burst onset prediction Article Swipe
Flavio Stellino
,
Alberto Mazzoni
,
Marco Storace
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1103/physreve.95.022412
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1103/physreve.95.022412
The response of bursting neurons to fluctuating inputs is usually hard to predict, due to their strong nonlinearity. For the same reason, decoding the injected stimulus from the activity of a bursting neuron is generally difficult. In this paper we propose a method describing (for neuron models) a mechanism of phase coding relating the burst onsets with the phase profile of the input current. This relation suggests that burst onset may provide a way for postsynaptic neurons to track the input phase. Moreover, we define a method of phase decoding to solve the inverse problem and estimate the likelihood of burst onset given the input state. Both methods are presented here in a unified framework, describing a complete coding-decoding procedure. This procedure is tested by using different neuron models, stimulated with different inputs (stochastic, sinusoidal, up, and down states). The results obtained show the efficacy and broad range of application of the proposed methods. Possible applications range from the study of sensory information processing, in which phase-of-firing codes are known to play a crucial role, to clinical applications such as deep brain stimulation, helping to design stimuli in order to trigger or prevent neural bursting.
Related Topics
Concepts
Bursting
Decoding methods
Computer science
Stimulus (psychology)
Coding (social sciences)
Waveform
Postsynaptic potential
Algorithm
Nonlinear system
Neuron
Artificial intelligence
Neuroscience
Physics
Mathematics
Telecommunications
Biochemistry
Radar
Statistics
Receptor
Quantum mechanics
Biology
Chemistry
Psychology
Psychotherapist
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1103/physreve.95.022412
- OA Status
- green
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2589888794
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W2589888794Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1103/physreve.95.022412Digital Object Identifier
- Title
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Phase analysis method for burst onset predictionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-02-21Full publication date if available
- Authors
-
Flavio Stellino, Alberto Mazzoni, Marco StoraceList of authors in order
- Landing page
-
https://doi.org/10.1103/physreve.95.022412Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/11382/513647Direct OA link when available
- Concepts
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Bursting, Decoding methods, Computer science, Stimulus (psychology), Coding (social sciences), Waveform, Postsynaptic potential, Algorithm, Nonlinear system, Neuron, Artificial intelligence, Neuroscience, Physics, Mathematics, Telecommunications, Biochemistry, Radar, Statistics, Receptor, Quantum mechanics, Biology, Chemistry, Psychology, PsychotherapistTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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30Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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