Search results for "Neural"

showing 10 items of 2783 documents

Postnatal development of cannabinoid receptor type 1 expression in rodent somatosensory cortex

2007

Endocannabinoids are powerful modulators of synaptic transmission that act on presynaptic cannabinoid receptors. Cannabinoid receptor type 1 (CB1) is the dominant receptor in the CNS, and is present in many brain regions, including sensory cortex. To investigate the potential role of CB1 receptors in cortical development, we examined the developmental expression of CB1 in rodent primary somatosensory (barrel) cortex, using immunohistochemistry with a CB1-specific antibody. We found that before postnatal day (P) 6, CB1 receptor staining was present exclusively in the cortical white matter, and that CB1 staining appeared in the gray matter between P6 and P20 in a specific laminar pattern. CB1…

Cannabinoid receptormusculoskeletal neural and ocular physiologyGeneral Neurosciencemedicine.medical_treatmentfood and beveragesBiologySomatosensory systemEndocannabinoid systemmedicine.anatomical_structurenervous systemSensory mapsCannabinoid receptor type 1medicinelipids (amino acids peptides and proteins)CannabinoidSensory cortexReceptorNeurosciencepsychological phenomena and processesNeuroscience
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Diffusion processes with ultrametric jumps

2007

Abstract In the theory of spin glasses the relaxation processes are modelled by random jumps in ultrametric spaces. One may argue that at the border of glassy and nonglassy phases the processes combining diffusion and jumps may be relevant. Using the Dirichlet form technique we construct a model of diffusion on the real line with jumps on the Cantor set. The jumps preserve the ultrametric feature of a random process on unit ball of 2-adic numbers.

Cantor setUnit sphereDirichlet formStochastic processMathematical analysisStatistical and Nonlinear PhysicsRelaxation (approximation)Diffusion (business)Condensed Matter::Disordered Systems and Neural NetworksReal lineUltrametric spaceMathematical PhysicsMathematicsReports on Mathematical Physics
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Spatio-temporal dynamics of oscillatory network activity in the neonatal mouse cerebral cortex

2007

We used a 60-channel microelectrode array to study in thick (600-1000 microm) somatosensory cortical slices from postnatal day (P)0-P3 mice the spatio-temporal properties of early network oscillations. We recorded local non-propagating as well as large-scale propagating spontaneous oscillatory activity. Both types of activity patterns could never be observed in neocortical slices of conventional thickness (400 microm). Local non-propagating spontaneous oscillations with an average peak frequency of 15.6 Hz, duration of 1.7 s and maximal amplitude of 66.8 microV were highly synchronized in a network of approximately 200 microm in diameter. Spontaneous oscillations of lower frequency (10.4 Hz…

CarbacholGeneral NeuroscienceGap junctionMultielectrode arrayBiologySomatosensory systemmedicine.anatomical_structureCerebral cortexSubplatemedicineBiological neural networkCholinergicNeurosciencemedicine.drugEuropean Journal of Neuroscience
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GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation

2018

In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge. The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. Our model includes a cardiac center-of-mass regression module which allows for an automatic shape prior registration. Also, since our method processes raw MR images without any manual preprocessing and/or image cropping, our CNN learns both high-level features (useful to distinguish the heart from other organs with a similar shape) and low-level features (useful to get accurate segmentation results).…

Cardiac anatomybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONNovelty030204 cardiovascular system & hematologyGridConvolutional neural networkAccurate segmentation030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineFully automaticPreprocessorSegmentationComputer visionArtificial intelligencebusiness
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Review on Higher-Order Neural Units to Monitor Cardiac Arrhythmia Patterns

2017

An electrocardiogram (ECG) is a non-invasive technique that checks for problems with the electrical activity of a patient’s heart. ECG is economical and extremely versatile. Some of its characteristics make it a very useful tool to detect cardiac pathologies. The ECG records a series of characteristic waves called PQRST; however, the QRS complex analysis enables the detection of a type of arrhythmia in an ECG. Technological developments enable the storage of a large amount of data, from which knowledge extraction is impossible without a powerful data processing tool; in particular, an adequate signal processing tool, whose output provides reliable parameters as a basis to make a precise cli…

Cardiac arrhythmiaspattern detectionhigher-order neural unitsrecurrent neural networks
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New fitting scheme to obtain effective potential from Car-Parrinello molecular dynamics simulations: Application to silica

2008

A fitting scheme is proposed to obtain effective potentials from Car-Parrinello molecular dynamics (CPMD) simulations. It is used to parameterize a new pair potential for silica. MD simulations with this new potential are done to determine structural and dynamic properties and to compare these properties to those obtained from CPMD and a MD simulation using the so-called BKS potential. The new potential reproduces accurately the liquid structure generated by the CPMD trajectories, the experimental activation energies for the self-diffusion constants and the experimental density of amorphous silica. Also lattice parameters and elastic constants of alpha-quartz are well-reproduced, showing th…

Car–Parrinello molecular dynamicsMaterials sciencemolecular dynamics calculations (Car-Parrinello) and other numerical simulationsTransferabilityGeneral Physics and AstronomyFOS: Physical sciences02 engineering and technologyglasses01 natural sciencesMolecular physicsMolecular dynamicsLattice (order)0103 physical sciences[PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]010306 general physicsdensity functional theoryCondensed Matter - Materials Sciencegradient and other correctionsMaterials Science (cond-mat.mtrl-sci)Disordered Systems and Neural Networks (cond-mat.dis-nn)computer simulation of liquid structureCondensed Matter - Disordered Systems and Neural Networks021001 nanoscience & nanotechnologylocal density approximation[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Amorphous silica0210 nano-technologyPair potential
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A Basis Set of Elementary Operations Captures Recombination of Neocortical Cell Assemblies During Basal Conditions and Learning

2019

Cell assemblies — subgroups within neuronal networks — are believed to serve as functional entities underlying cognitive capabilities such as categorical perception or memory formation and storage. However, little is known about their long-term dynamics. Using chronic in vivo calcium imaging in the mouse auditory cortex, we find that cell assemblies undergo continuous recombination, even under behaviorally stable conditions. We identify a basis set of elementary operations capturing the dynamics of cell assemblies, which involve plasticity of both the stimulus tuning of particular assemblies as well as the cellular composition of an assembly. Auditory fear conditioning introduces biases in …

Categorical perceptionCalcium imagingComputer sciencePerceptionmedia_common.quotation_subjectCognitionFear conditioningStimulus (physiology)Auditory cortexNeural codingNeurosciencemedia_commonSSRN Electronic Journal
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Ordered networks of rat hippocampal neurons attached to silicon oxide surfaces.

2001

The control of neuronal cell position and outgrowth is of fundamental interest in the development of applications ranging from cellular biosensors to tissue engineering. We have produced rectangular networks of functional rat hippocampal neurons on silicon oxide surfaces. Attachment and network formation of neurons was guided by a geometrical grid pattern of the adhesion peptide PA22-2 which matches in sequence a part of the A-chain of laminin. PA22-2 was applied by contact printing onto the functionalised silicon oxide surface and was immobilised by hetero-bifunctional cross-linking with sulfo-GMBS. Geometric pattern matching was achieved by microcontact printing using a polydimethylsiloxa…

Cell Culture TechniquesNanotechnologyBiosensing TechniquesHippocampusMembrane Potentialschemistry.chemical_compoundFetusmedicineBiological neural networkCell AdhesionAnimalsSilicon oxideCells CulturedCell SizeMembrane potentialNeuronsPolydimethylsiloxaneChemistryGeneral NeuroscienceSilicon CompoundsPDMS stampOxidesAdhesionRatsElectrophysiologymedicine.anatomical_structureMicrocontact printingBiophysicsNeuronNerve NetPeptidesJournal of neuroscience methods
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Ion conductance changes associated with spike adaptation in the rapidly adapting stretch receptor of the crayfish.

1975

The time course of the repetitive impulse discharges has been investigated for two high intensities of maintained depolarizing currents, 30 nA and 50 nA, for which the receptor adaptation was complete within 70 msec. The changes in sodium and potassium conductance associated with the decline in spike activity have been analyzed at different instances of time by interrupting in successive experiments the various action potentials in the pulse trains either at the early phase by holding the potential at about -60 mV and recording the inward current (upstroke-gNa) or by evaluating the delayed outward current flowing as the result of a depolarizing voltage pulse which at the end of the action p…

Cell Membrane PermeabilityTime FactorsPhysiologySodiumClinical BiochemistryNeural Conductionchemistry.chemical_elementAction PotentialsBiological Transport ActiveAstacoideaStimulus (physiology)IonPhysiology (medical)AnimalsMembrane potentialSodiumConductanceDepolarizationCrayfishAdaptation PhysiologicalAxonsElectric StimulationchemistryBiophysicsPotassiumMechanoreceptorsStretch receptorPflugers Archiv : European journal of physiology
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PECAM-1 expression in human mesothelial cells: an in vitro study.

1996

Mesothelial cells are actively involved in inflammatory processes by expressing a set of cell adhesion molecules (CAMs). Transmigration of leukocytes into inflamed tissues requires a chemotactic stimulus and engagement of platelet-endothelial cell adhesion molecule-1 (PECAM-1). To investigate the kinetics involved in peritonitis, pure cultures of mesothelial cells are necessary. In previous studies, we have found that human mesothelial cells (HOMES) show a weak constitutive expression of PECAM-1, which cannot be further stimulated by cytokines. It is known that all serous cavities and body fluids contain numerous macrophages which strongly express this adhesion molecule. To identify the cel…

Cell SeparationIn Vitro TechniquesEpitheliumPathology and Forensic MedicineInterferon-gammaE-selectinmedicineHumansCell adhesionMolecular BiologyCells CulturedbiologyChemistryCell adhesion moleculeTumor Necrosis Factor-alphaMonocyteEpithelial CellsCell BiologyGeneral MedicineCell sortingMolecular biologyImmunohistochemistryRecombinant ProteinsCell biologyPlatelet Endothelial Cell Adhesion Molecule-1Microscopy Electronmedicine.anatomical_structureCell culturebiology.proteinNeural cell adhesion moleculeOmentumMesothelial CellInterleukin-1Pathobiology : journal of immunopathology, molecular and cellular biology
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