Ghost resonance in a pool of heterogeneous neurons

We numerically study the subharmonic response of a heterogeneous pool of neurons to a pair of independent inputs. The neurons are stimulated with periodic pulse trains of frequencies f1 = 2 Hz and f2 = 3 Hz, and with inharmonic pulses whose frequencies f1 and f2 are equally shifted an amount Δ f. Wh...

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Autor principal: Balenzuela, Pablo
Publicado: 2007
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03032647_v89_n1-3_p166_Balenzuela
http://hdl.handle.net/20.500.12110/paper_03032647_v89_n1-3_p166_Balenzuela
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spelling paper:paper_03032647_v89_n1-3_p166_Balenzuela2023-06-08T15:28:58Z Ghost resonance in a pool of heterogeneous neurons Balenzuela, Pablo Coincidence detection Neural coding Neuronal dynamics Pitch perception Signal integration experimental study nervous system numerical method resonance article experimental study mathematical model nerve cell pulse rate pulse wave signal detection stimulation Membrane Potentials Models, Theoretical Neurons We numerically study the subharmonic response of a heterogeneous pool of neurons to a pair of independent inputs. The neurons are stimulated with periodic pulse trains of frequencies f1 = 2 Hz and f2 = 3 Hz, and with inharmonic pulses whose frequencies f1 and f2 are equally shifted an amount Δ f. When both inputs are subthreshold, we find that the neurons respond at a frequency equal to f2 - f1 in the harmonic situation (Δ f = 0), that increases linearly with Δ f in the inharmonic case. Thus the neurons detect a frequency not present in the input; this effect is termed "ghost resonance". When one of the inputs is slightly suprathreshold the ghost resonance persists, but responses related with the frequency of the suprathreshold input also emerge. This behavior must be taken into account in experimental studies of signal integration and coincidence detection by neuronal pools. © 2006 Elsevier Ireland Ltd. All rights reserved. Fil:Balenzuela, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2007 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03032647_v89_n1-3_p166_Balenzuela http://hdl.handle.net/20.500.12110/paper_03032647_v89_n1-3_p166_Balenzuela
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Coincidence detection
Neural coding
Neuronal dynamics
Pitch perception
Signal integration
experimental study
nervous system
numerical method
resonance
article
experimental study
mathematical model
nerve cell
pulse rate
pulse wave
signal detection
stimulation
Membrane Potentials
Models, Theoretical
Neurons
spellingShingle Coincidence detection
Neural coding
Neuronal dynamics
Pitch perception
Signal integration
experimental study
nervous system
numerical method
resonance
article
experimental study
mathematical model
nerve cell
pulse rate
pulse wave
signal detection
stimulation
Membrane Potentials
Models, Theoretical
Neurons
Balenzuela, Pablo
Ghost resonance in a pool of heterogeneous neurons
topic_facet Coincidence detection
Neural coding
Neuronal dynamics
Pitch perception
Signal integration
experimental study
nervous system
numerical method
resonance
article
experimental study
mathematical model
nerve cell
pulse rate
pulse wave
signal detection
stimulation
Membrane Potentials
Models, Theoretical
Neurons
description We numerically study the subharmonic response of a heterogeneous pool of neurons to a pair of independent inputs. The neurons are stimulated with periodic pulse trains of frequencies f1 = 2 Hz and f2 = 3 Hz, and with inharmonic pulses whose frequencies f1 and f2 are equally shifted an amount Δ f. When both inputs are subthreshold, we find that the neurons respond at a frequency equal to f2 - f1 in the harmonic situation (Δ f = 0), that increases linearly with Δ f in the inharmonic case. Thus the neurons detect a frequency not present in the input; this effect is termed "ghost resonance". When one of the inputs is slightly suprathreshold the ghost resonance persists, but responses related with the frequency of the suprathreshold input also emerge. This behavior must be taken into account in experimental studies of signal integration and coincidence detection by neuronal pools. © 2006 Elsevier Ireland Ltd. All rights reserved.
author Balenzuela, Pablo
author_facet Balenzuela, Pablo
author_sort Balenzuela, Pablo
title Ghost resonance in a pool of heterogeneous neurons
title_short Ghost resonance in a pool of heterogeneous neurons
title_full Ghost resonance in a pool of heterogeneous neurons
title_fullStr Ghost resonance in a pool of heterogeneous neurons
title_full_unstemmed Ghost resonance in a pool of heterogeneous neurons
title_sort ghost resonance in a pool of heterogeneous neurons
publishDate 2007
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03032647_v89_n1-3_p166_Balenzuela
http://hdl.handle.net/20.500.12110/paper_03032647_v89_n1-3_p166_Balenzuela
work_keys_str_mv AT balenzuelapablo ghostresonanceinapoolofheterogeneousneurons
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