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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Autores principales: Balenzuela, P., Garcia-Ojalvo, J., Manjarrez, E., Martínez, L., Mirasso, C.R.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03032647_v89_n1-3_p166_Balenzuela
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spelling todo:paper_03032647_v89_n1-3_p166_Balenzuela2023-10-03T15:19:42Z Ghost resonance in a pool of heterogeneous neurons Balenzuela, P. Garcia-Ojalvo, J. Manjarrez, E. Martínez, L. Mirasso, C.R. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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, P.
Garcia-Ojalvo, J.
Manjarrez, E.
Martínez, L.
Mirasso, C.R.
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.
format JOUR
author Balenzuela, P.
Garcia-Ojalvo, J.
Manjarrez, E.
Martínez, L.
Mirasso, C.R.
author_facet Balenzuela, P.
Garcia-Ojalvo, J.
Manjarrez, E.
Martínez, L.
Mirasso, C.R.
author_sort Balenzuela, P.
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
url http://hdl.handle.net/20.500.12110/paper_03032647_v89_n1-3_p166_Balenzuela
work_keys_str_mv AT balenzuelap ghostresonanceinapoolofheterogeneousneurons
AT garciaojalvoj ghostresonanceinapoolofheterogeneousneurons
AT manjarreze ghostresonanceinapoolofheterogeneousneurons
AT martinezl ghostresonanceinapoolofheterogeneousneurons
AT mirassocr ghostresonanceinapoolofheterogeneousneurons
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