Search results for "Lateral inhibition"

showing 6 items of 6 documents

Sparse Distributed Representation of Odors in a Large-scale Olfactory Bulb Circuit

2013

In the olfactory bulb, lateral inhibition mediated by granule cells has been suggested to modulate the timing of mitral cell firing, thereby shaping the representation of input odorants. Current experimental techniques, however, do not enable a clear study of how the mitral-granule cell network sculpts odor inputs to represent odor information spatially and temporally. To address this critical step in the neural basis of odor recognition, we built a biophysical network model of mitral and granule cells, corresponding to 1/100th of the real system in the rat, and used direct experimental imaging data of glomeruli activated by various odors. The model allows the systematic investigation and g…

Circuit ModelsMaleNerve net0302 clinical medicineLateral inhibitionOdorlcsh:QH301-705.5NeuronsFeedback PhysiologicalCoding Mechanisms0303 health sciencesNeuronal PlasticityEcologyAnatomyOlfactory BulbSynapseSensory Systemsmedicine.anatomical_structureComputational Theory and MathematicsModeling and SimulationExcitatory postsynaptic potentialResearch ArticleModels NeurologicalBiologyInhibitory postsynaptic potential03 medical and health sciencesCellular and Molecular NeuroscienceGeneticNeuroplasticityGeneticsmedicineAnimalsComputer SimulationBiologyMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyComputational NeuroscienceOlfactory SystemAnimalComputational BiologyNeuronEcology Evolution Behavior and SystematicRatsOlfactory bulbOdorlcsh:Biology (General)OdorantsSynapsesSynaptic plasticityRatNerve NetNeuroscience030217 neurology & neurosurgeryNeuroscience
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Optogenetic Modulation of a Minor Fraction of Parvalbumin-Positive Interneurons Specifically Affects Spatiotemporal Dynamics of Spontaneous and Senso…

2017

Abstract Parvalbumin (PV) positive interneurons exert strong effects on the neocortical excitatory network, but it remains unclear how they impact the spatiotemporal dynamics of sensory processing in the somatosensory cortex. Here, we characterized the effects of optogenetic inhibition and activation of PV interneurons on spontaneous and sensory-evoked activity in mouse barrel cortex in vivo. Inhibiting PV interneurons led to a broad-spectrum power increase both in spontaneous and sensory-evoked activity. Whisker-evoked responses were significantly increased within 20 ms after stimulus onset during inhibition of PV interneurons, demonstrating high temporal precision of PV-shaped inhibition.…

Male0301 basic medicineTime FactorsCognitive NeurosciencePopulationAction PotentialsMice TransgenicSensory systemOptogeneticsSomatosensory system03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineLateral inhibitionEvoked Potentials SomatosensoryPhysical StimulationparvalbuminmedicineAnimalseducationmouseeducation.field_of_studyinterneuronsbiologyChemistrymusculoskeletal neural and ocular physiologyOriginal ArticlesSomatosensory CortexBarrel cortexMice Inbred C57BLOptogeneticsParvalbumins030104 developmental biologymedicine.anatomical_structureTouch Perceptionnervous systemCerebral cortexconnectivityVibrissaebiology.proteincerebral cortexFemaleMicroelectrodesNeuroscience030217 neurology & neurosurgeryParvalbuminCerebral Cortex
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Spatiotemporal receptive fields: A dynamical model derived from cortical architectonics

1986

We assume that the mammalian neocortex is built up out of some six layers which differ in their morphology and their external connections. Intrinsic connectivity is largely excitatory, leading to a considerable amount of positive feedback. The majority of cortical neurons can be divided into two main classes: the pyramidal cells, which are said to be excitatory, and local cells (most notably the non-spiny stellate cells), which are said to be inhibitory. The form of the dendritic and axonal arborizations of both groups is discussed in detail. This results in a simplified model of the cortex as a stack of six layers with mutual connections determined by the principles of fibre anatomy. This …

Models AnatomicModels NeurologicalPyramidal TractsInhibitory postsynaptic potentialLateral inhibitionCortex (anatomy)medicineAnimalsHumansNeurons AfferentGeneral Environmental ScienceVisual CortexCerebral CortexNeuronsAfferent PathwaysNeocortexLinear systemGeneral Engineeringmedicine.anatomical_structureCerebral cortexReceptive fieldExcitatory postsynaptic potentialGeneral Earth and Planetary SciencesPsychologyNeuroscienceMathematics
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Turing Patterns in Nonlinear Optics

2000

The phenomenon of pattern formation in nonlinear optical resonators is commonly related to an off-resonance excitation mechanism, where patterns occur due to mismatch between the excitation and resonance frequency. In this paper we show that the patterns in nonlinear optics can also occur due to the interplay between diffractions of coupled field components. The reported mechanism is analogous to that of local activation and lateral inhibition found in reaction-diffusion systems by Turing. We study concretely the degenerate optical parametric oscillators. A local activator-lateral inhibitor mechanism is responsible for generation of Turing patterns in form of hexagons.

PhysicsField (physics)genetic structuresDegenerate energy levelsNonlinear opticsPattern formationFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Nonlinear Sciences - Pattern Formation and SolitonsNonlinear Sciences - Adaptation and Self-Organizing SystemsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsResonatorClassical mechanicsLateral inhibitionElectrical and Electronic EngineeringPhysical and Theoretical ChemistryTuringcomputerAdaptation and Self-Organizing Systems (nlin.AO)ExcitationPhysics - Opticscomputer.programming_languageOptics (physics.optics)
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Optimizing self-organizing timbre maps: Two approaches

1997

The effect of using different auditory images and distance metrics on the final configuration of a self-organized timbre map is examined by comparing distance matrices obtained from simulations with a similarity rating matrix, obtained using the same set of stimuli as in the simulations. Two approaches are described. In the static approach, each stimulus is represented as a single multi-component vector. Gradient images, which are intended to represent idealizations of physiological gradient maps in the auditory pathway, are constructed. The optimal auditory image and distance metric, with respect to the similarity rating data, are searched using the gradient method. In the dynamic approach…

Quantitative Biology::Neurons and Cognitionbusiness.industryComputer scienceLateral inhibitionSpeech recognitionAuditory imageryPattern recognitionArtificial intelligenceStimulus (physiology)businessAuditory cortexTimbre
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The pattern of neuroblast formation, mitotic domains and proneural gene expression during early brain development in Drosophila.

2003

In the Drosophila embryo, studies on CNS development have so far mainly focused on the relatively simply structured ventral nerve cord. In the trunk, proneural genes become expressed in small cell clusters at specific positions of the ventral neuroectoderm. A lateral inhibition process mediated by the neurogenic genes ensures that only one cell within each proneural cluster delaminates as a neural stem cell (neuroblast). Thus, a fixed number of neuroblasts is formed, according to a stereotypical spatiotemporal and segmentally repeated pattern, each subsequently generating a specific cell lineage. Owing to higher complexity and hidden segmental organisation, the mechanisms underlying the dev…

animal structuresMitosisProneural genesBiologyNeuroblastLateral inhibitionEctodermMorphogenesisAnimalsCell LineageNeurons AfferentMolecular BiologyIn Situ HybridizationGeneticsNeuronsNeuroectodermGenes HomeoboxBrainGene Expression Regulation DevelopmentalNeural stem cellDrosophila melanogasterVentral nerve cordembryonic structuresScuteNeuroscienceGanglion mother cellNeurogliaBiomarkersDevelopmental BiologyDevelopment (Cambridge, England)
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