Search results for "ON selectivity"

showing 7 items of 7 documents

Activation of Corticothalamic Layer 6 Cells Decreases Angular Tuning in Mouse Barrel Cortex.

2019

In the mouse whisker system, the contribution of L6 corticothalamic cells (L6 CT) to cortical and thalamic processing of the whisker deflection direction was investigated. A genetically defined population of L6 CT cells project to infragranular GABAergic interneurons that hyperpolarize neurons in somatosensory barrel cortex (BC). Optogenetic activation of these neurons switched BC to an adapted mode in which excitatory cells lost their angular tuning. In contrast, however, this was not the case with a general activation of inhibitory interneurons via optogenetic activation of Gad2-expressing cells. The decrease in angular tuning, when L6 CT cells were activated, was due to changes in cortic…

0301 basic medicineMaleCognitive NeurosciencePopulationNeuroscience (miscellaneous)OptogeneticsSomatosensory systemInhibitory postsynaptic potentiallcsh:RC321-57103 medical and health sciencesCellular and Molecular NeuroscienceMice0302 clinical medicineThalamusexcitation inhibition balancedirection selectivitymedicineAnimalsGABAergic Neuronseducationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOriginal ResearchNeuronseducation.field_of_studyAfferent PathwaysNeocortexGAD2NTSR1ChemistryNeural InhibitionSomatosensory CortexBarrel cortexSensory Systemslayer 6030104 developmental biologymedicine.anatomical_structurenervous systemTouch PerceptionVibrissaeExcitatory postsynaptic potentialGABAergicFemaleNeuroscience030217 neurology & neurosurgeryNeuroscienceFrontiers in neural circuits
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Coping between crises: Early Triassic–early Jurassic bivalve diversity dynamics

2011

The Triassic is bounded by two of the most severe biotic crises, but nevertheless this time was, for bivalves, both a recovery and a diversification period, and a moment to fully exploit some of their evolutionary novelties. Just how and when this was achieved is analyzed in this paper, which covers Induan to Sinemurian bivalve diversity, based on a newly compiled database. Taxonomic diversity and ecospace dynamics are examined separately. Diversity and evolutionary rates were assessed, extinction selectivity was tested using a resampling algorithm, and cohort analysis was used to study extinction patterns. During the Early Triassic most bivalve genera were survivors from the Permian and th…

Extinction eventBIVALVIAPermianbiologyEcologyPERMIAN/TRIASSIC EXTINCTIONTRIASSICEarly TriassicPaleontologyOceanographyBivalviabiology.organism_classificationPaleontologíaCiencias de la Tierra y relacionadas con el Medio AmbientePredationTaxonMesozoic marine revolutionEXTINCTION SELECTIVITYTRIASSIC/JURASSIC EXTINCTIONBIOTIC RECOVERYCIENCIAS NATURALES Y EXACTASEcology Evolution Behavior and SystematicsPermian–Triassic extinction eventGeologyEarth-Surface ProcessesPalaeogeography, Palaeoclimatology, Palaeoecology
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Selective adsorption of formaldehyde and water vapors in NaY and NaX zeolites

2019

International audience; Coadsorption of formaldehyde and water vapors on NaX and NaY zeolites is studied at 298 K in the pressure range 0-2 hPa by manometry coupled with gas phase chromatography and calorimetry. Coadsorption isotherms, adsorption selectivities and coadsorption heats are measured. Results show that the coadsorption process is selective for water at low filling and for formaldehyde at high filling. The adsorption selectivity for formaldehyde over water is however too low to consider the possibility of using such adsorbents for the development of air handling units. On the other hand, a preliminary study carried out on the adsorption of formaldehyde and water in pure gas phase…

Inorganic chemistrywaterFormaldehyde02 engineering and technologyCalorimetry010402 general chemistry01 natural sciencesHigh silicaAdsorption selectivityPressure rangechemistry.chemical_compoundAdsorptionCoadsorption;Formaldehyde;Water;Zeolite;Selectivity[CHIM]Chemical SciencesGeneral Materials SciencezeoliteZeoliteComputingMilieux_MISCELLANEOUSChemistrycoadsorptionselectivityGeneral Chemistry021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciences[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryMechanics of MaterialsSelective adsorptionformaldehyde0210 nano-technology
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D2/H2 adsorption selectivity on FAU zeolites at 77.4 K: Influence of Si/Al ratio and cationic composition

2018

Abstract Equilibrium D2/H2 adsorption selectivity was determined at 77.4 K below 1000 hPa for a series of FAU type zeolites X exchanged with different cations (Li+, Na+, K+, Mg2+, Ca2+, Ba2+ and Mn2+). In addition NaY, DAY (dealuminated Y) and pure silica CHA and MFI zeolites were studied. Two experimental approaches were used to determine the D2/H2 adsorption selectivity: direct determination at the thermodynamic equilibrium from manometric coadsorption experiments and calculations by Ideal Adsorbed Solution Theory (IAST) from single gas adsorption isotherms. While these two approaches are not in quantitative agreement, they reveal similar trends. At low loading (  MnX > LiX > CaX ≈ NaX > …

LangmuirThermodynamic equilibriumChemistryCationic polymerizationHigh loading02 engineering and technologyGeneral Chemistry010402 general chemistry021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciences7. Clean energy0104 chemical sciencesAdsorption selectivity[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryAdsorption13. Climate actionMechanics of MaterialsPhysical chemistry[CHIM]Chemical SciencesGeneral Materials ScienceComposition (visual arts)0210 nano-technologySelectivityComputingMilieux_MISCELLANEOUS
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The physiological basis for contrast opponency in motion computation in Drosophila

2021

This dataset contains traces (dF/F0) from in vivo two-photon calcium imaging from Tm1, tm2, Tm4, Tm9, CT1, and T5 neurons from responses to ONOFF fullfield flashes, ON and OFF bars, and moving sinewaves.

Vision modelsMotion detectionDirection selectivityCalcium imagingContrast opponencyDirection selectivity modelsReceptive fieldDrosophila vision
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Event-Based Trajectory Prediction Using Spiking Neural Networks

2021

International audience; In recent years, event-based sensors have been combined with spiking neural networks (SNNs) to create a new generation of bio-inspired artificial vision systems. These systems can process spatio-temporal data in real time, and are highly energy efficient. In this study, we used a new hybrid event-based camera in conjunction with a multi-layer spiking neural network trained with a spike-timing-dependent plasticity learning rule. We showed that neurons learn from repeated and correlated spatio-temporal patterns in an unsupervised way and become selective to motion features, such as direction and speed. This motion selectivity can then be used to predict ball trajectory…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]PolynomialComputer scienceNeuroscience (miscellaneous)Neurosciences. Biological psychiatry. Neuropsychiatry02 engineering and technologyunsupervised learningSNN[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]STDP03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineLearning rule0202 electrical engineering electronic engineering information engineeringEvent (probability theory)Original ResearchSpiking neural networkQuantitative Biology::Neurons and Cognitionmotion selectivitybusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/NeuroscienceProcess (computing)Pattern recognitionspiking cameraTrajectoryball trajectory predictionUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgeryEfficient energy useNeuroscienceRC321-571Frontiers in Computational Neuroscience
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(A,B) In vivo GCaMP6f signals recorded in layers M1, M5 and M9/10 of Mi1 (A) and Tm3 (B) neurons, before (blue, green) and after (gray, red) applicat…

2019

Sensory systems sequentially extract increasingly complex features. ON and OFF pathways, for example, encode increases or decreases of a stimulus from a common input. This ON/OFF pathway split is thought to occur at individual synaptic connections through a sign-inverting synapse in one of the pathways. Here, we show that ON selectivity is a multisynaptic process in the Drosophila visual system. A pharmacogenetics approach demonstrates that both glutamatergic inhibition through GluClα and GABAergic inhibition through Rdl mediate ON responses. Although neurons postsynaptic to the glutamatergic ON pathway input L1 lose all responses in GluClα mutants, they are resistant to a cell-type-specifi…

visionQH301-705.5GABA AgentsScienceModels Neurological610Sensory systemBiologyStimulus (physiology)distributed codingGeneral Biochemistry Genetics and Molecular BiologySynapseglutamatergic inhibition03 medical and health sciencesGlutamatergic0302 clinical medicinePostsynaptic potentialOff pathwayInterneuronsAnimalsVisual PathwaysExcitatory Amino Acid AgentsBiology (General)030304 developmental biology0303 health sciencesGeneral Immunology and MicrobiologyGABAergic inhibitionD. melanogasterON selectivityGeneral Neurosciencefeature extractionQRGeneral MedicineD. melanogaster; GABAergic inhibition; ON selectivity; distributed coding; feature extraction; glutamatergic inhibition; neuroscience; visionVisual PerceptionMedicineGabaergic inhibitionDrosophilaSelectivityNeuroscience030217 neurology & neurosurgeryResearch ArticleNeuroscience
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