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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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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1782027861616492544 |