Oscillatory synchronization requires precise and balanced feedback inhibition in a model of the insect antennal lobe
Identifieur interne : 006354 ( Main/Exploration ); précédent : 006353; suivant : 006355Oscillatory synchronization requires precise and balanced feedback inhibition in a model of the insect antennal lobe
Auteurs : Dominique Martinez [France]Source :
- Neural computation [ 0899-7667 ] ; 2005.
Descripteurs français
- KwdFr :
- Animaux, Horloges biologiques (physiologie), Insectes (physiologie), Modèles neurologiques, Modèles théoriques, Neurones (physiologie), Organes des sens (innervation), Potentiels évoqués (physiologie), Rétrocontrôle physiologique (physiologie), Synchronisation corticale, Voies olfactives (physiologie).
- MESH :
- Pascal (Inist)
- Synchronisation, Cortex olfactif, Insecta, Système olfactif, Odeur, Phénomène transitoire, Codage, Résultat expérimental, Complexité, Modèle mathématique, Borne inférieure, Verrouillage phase, Loi probabilité, Potentiel postsynaptique inhibiteur, Calcul neuronal, Modèle réseau neuronal, Inhibition rétroaction, Neurone projection.
- Wicri :
- topic : Codage.
English descriptors
- KwdEn :
- Animals, Biological Clocks (physiology), Coding, Complexity, Cortical Synchronization, Evoked Potentials (physiology), Experimental result, Feedback inhibition, Feedback, Physiological (physiology), Inhibitory postsynaptic potential, Insecta, Insects (physiology), Lower bound, Mathematical model, Models, Neurological, Models, Theoretical, Neural computation, Neurons (physiology), Odor, Olfactory Pathways (physiology), Olfactory cortex, Olfactory system, Phase locking, Probability distribution, Projection neuron, Sense Organs (innervation), Synchronization, Transients.
- MESH :
- innervation : Sense Organs.
- physiology : Biological Clocks, Evoked Potentials, Feedback, Physiological, Insects, Neurons, Olfactory Pathways.
- Animals, Cortical Synchronization, Models, Neurological, Models, Theoretical.
Abstract
In the insect olfactory system, odor-evoked transient synchronization of antennal lobe (AL) projection neurons (PNs) is phase-locked to the oscillations of the local field potential. Sensory information is contained in the spatiotemporal synchronization pattern formed by the identities of the phase-locked PNs. This article investigates the role of feedback inhibition from the local neurons (LNs) in this coding. First, experimental biological results are reproduced with a reduced computational spiking neural network model of the AL. Second, the low complexity of the model leads to a mathematical analysis from which a lower bound on the phase-locking probability is derived. Parameters involved in the bound indicate that PN phase locking depends not only on the number of LN-evoked inhibitory postsynaptic potentials (IPSPs) previously received, but also on their temporal jitter. If the inhibition received by a PN at the current oscillatory cycle is both perfectly balanced (i.e., equal to the mean inhibitory drive) and precise (without any jitter), then the PN will be phase-locked at the next oscillatory cycle with probability one.
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Affiliations:
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Le document en format XML
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<term>Biological Clocks (physiology)</term>
<term>Coding</term>
<term>Complexity</term>
<term>Cortical Synchronization</term>
<term>Evoked Potentials (physiology)</term>
<term>Experimental result</term>
<term>Feedback inhibition</term>
<term>Feedback, Physiological (physiology)</term>
<term>Inhibitory postsynaptic potential</term>
<term>Insecta</term>
<term>Insects (physiology)</term>
<term>Lower bound</term>
<term>Mathematical model</term>
<term>Models, Neurological</term>
<term>Models, Theoretical</term>
<term>Neural computation</term>
<term>Neurons (physiology)</term>
<term>Odor</term>
<term>Olfactory Pathways (physiology)</term>
<term>Olfactory cortex</term>
<term>Olfactory system</term>
<term>Phase locking</term>
<term>Probability distribution</term>
<term>Projection neuron</term>
<term>Sense Organs (innervation)</term>
<term>Synchronization</term>
<term>Transients</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term>
<term>Horloges biologiques (physiologie)</term>
<term>Insectes (physiologie)</term>
<term>Modèles neurologiques</term>
<term>Modèles théoriques</term>
<term>Neurones (physiologie)</term>
<term>Organes des sens (innervation)</term>
<term>Potentiels évoqués (physiologie)</term>
<term>Rétrocontrôle physiologique (physiologie)</term>
<term>Synchronisation corticale</term>
<term>Voies olfactives (physiologie)</term>
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</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Animaux</term>
<term>Horloges biologiques</term>
<term>Insectes</term>
<term>Modèles neurologiques</term>
<term>Modèles théoriques</term>
<term>Neurones</term>
<term>Organes des sens</term>
<term>Potentiels évoqués</term>
<term>Rétrocontrôle physiologique</term>
<term>Synchronisation corticale</term>
<term>Voies olfactives</term>
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<term>Evoked Potentials</term>
<term>Feedback, Physiological</term>
<term>Insects</term>
<term>Neurons</term>
<term>Olfactory Pathways</term>
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<term>Cortical Synchronization</term>
<term>Models, Neurological</term>
<term>Models, Theoretical</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Synchronisation</term>
<term>Cortex olfactif</term>
<term>Insecta</term>
<term>Système olfactif</term>
<term>Odeur</term>
<term>Phénomène transitoire</term>
<term>Codage</term>
<term>Résultat expérimental</term>
<term>Complexité</term>
<term>Modèle mathématique</term>
<term>Borne inférieure</term>
<term>Verrouillage phase</term>
<term>Loi probabilité</term>
<term>Potentiel postsynaptique inhibiteur</term>
<term>Calcul neuronal</term>
<term>Modèle réseau neuronal</term>
<term>Inhibition rétroaction</term>
<term>Neurone projection</term>
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<front><div type="abstract" xml:lang="en">In the insect olfactory system, odor-evoked transient synchronization of antennal lobe (AL) projection neurons (PNs) is phase-locked to the oscillations of the local field potential. Sensory information is contained in the spatiotemporal synchronization pattern formed by the identities of the phase-locked PNs. This article investigates the role of feedback inhibition from the local neurons (LNs) in this coding. First, experimental biological results are reproduced with a reduced computational spiking neural network model of the AL. Second, the low complexity of the model leads to a mathematical analysis from which a lower bound on the phase-locking probability is derived. Parameters involved in the bound indicate that PN phase locking depends not only on the number of LN-evoked inhibitory postsynaptic potentials (IPSPs) previously received, but also on their temporal jitter. If the inhibition received by a PN at the current oscillatory cycle is both perfectly balanced (i.e., equal to the mean inhibitory drive) and precise (without any jitter), then the PN will be phase-locked at the next oscillatory cycle with probability one.</div>
</front>
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