Search results for "neuron"

showing 10 items of 2611 documents

Diffusive neural network

2002

Abstract A non-connectionist model of a neuronal network based on passive diffusion of neurotransmitters is presented as an alternative to hard-wired artificial neural networks. Classic thermodynamical approach shows that the diffusive network is capable of exhibiting asymptotic stability and a dynamics resembling that of a chaotic system. Basic computational capabilities of the net are discussed based on the equivalence with a Turing machine. The model offers a way to represent mass-sustained brain functions in terms of recurrent behaviors in the phase space.

Theoretical computer scienceQuantitative Biology::Neurons and CognitionArtificial neural networkComputer scienceCognitive NeuroscienceChaoticTopologyComputer Science ApplicationsTuring machinesymbols.namesakeRecurrent neural networkExponential stabilityArtificial IntelligencePhase spacesymbolsBiological neural networkStochastic neural networkNeurocomputing
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The computational power of continuous time neural networks

1997

We investigate the computational power of continuous-time neural networks with Hopfield-type units. We prove that polynomial-size networks with saturated-linear response functions are at least as powerful as polynomially space-bounded Turing machines.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESQuantitative Biology::Neurons and CognitionComputational complexity theoryArtificial neural networkComputer sciencebusiness.industryComputer Science::Neural and Evolutionary ComputationNSPACEComputational resourcePower (physics)Turing machinesymbols.namesakeCellular neural networksymbolsArtificial intelligenceTypes of artificial neural networksbusiness
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Some Afterthoughts on Hopfield Networks

1999

In the present paper we investigate four relatively independent issues, which complete our knowledge regarding the computational aspects of popular Hopfield nets. In Section 2 of the paper, the computational equivalence of convergent asymmetric and Hopfield nets is shown with respect to network size. In Section 3, the convergence time of Hopfield nets is analyzed in terms of bit representations. In Section 4, a polynomial time approximate algorithm for the minimum energy problem is shown. In Section 5, the Turing universality of analog Hopfield nets is studied. peerReviewed

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESQuantitative Biology::Neurons and CognitionComputer scienceParallel algorithmHopfield netsApproximation algorithmSection (fiber bundle)Hopfield networknetworksHopfieldAlgorithmTime complexityEquivalence (measure theory)Energy (signal processing)
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Postnatal Neurogenesis and Neuronal Regeneration

2004

The discovery of neurogenesis in the adult brain has challenged one of the central dogmas of neuroscience. Pioneer reports in rodents seed the ground for a detailed description in birds and reptiles, which was finally confirmed in discrete regions of several mammalian species including humans. This neurogenetical capability may serve as the basis for neuronal regeneration, as has already been described in the reptilian brain, and thus may represent a promising therapeutic approach. Consequently, in the last years there has been an important effort to deepen our knowledge of the biology, the functional significance and the regulation of adult neurogenesis.

Therapeutic approachNeuronal regenerationmedicine.anatomical_structureTriune brainPostnatal neurogenesisDentate gyrusNeurogenesismedicineHair cellBiologyNeuroscienceOlfactory bulb
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Activity of bulbar respiratory modulated neurons and restart of respiration after hypocapnic apnea in rabbits

1980

The activity of respiratory modulated neurons at the end of the apneic pause and during restart of respiration and the diaphragmatic mass activity were examined and both were compared to quiet respiration. Thresholds of mutual inhibition of neurons are unevenly distributed within various phase types of neurons.

Time FactorsApneaQuiet respirationAction PotentialsDiaphragmatic breathingBiologyCellular and Molecular NeuroscienceRespirationmedicineAnimalsRespiratory systemMolecular BiologyMutual inhibitionNeuronsPharmacologyRespirationApneaCell BiologyCarbon DioxideRespiratory CenterMass activitynervous systemAnesthesiaMolecular MedicineRabbitsmedicine.symptomExperientia
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Computational evidence that frequency trajectory theory does not oppose but emerges from age-of-acquisition theory.

2012

International audience; According to the age-of-acquisition hypothesis, words acquired early in life are processed faster and more accurately than words acquired later. Connectionist models have begun to explore the influence of the age/order of acquisition of items (and also their frequency of encounter). This study attempts to reconcile two different methodological and theoretical approaches (proposed by Lambon Ralph & Ehsan, 2006 and Zevin & Seidenberg, 2002) to age-limited learning effects. The current simulations extend the findings reported by Zevin and Seidenberg (2002) that have shown that frequency trajectories (FTs) have limited and specific effects on word-reading tasks. Using th…

Time FactorsComputer scienceTask (project management)Learning effect0302 clinical medicineMESH: Models PsychologicalComputingMilieux_MISCELLANEOUSMESH : Models PsychologicalCognitive sciencePsycholinguisticsMESH : Neural Networks (Computer)05 social sciencesAge FactorsContrast (statistics)MESH : Artificial IntelligenceLanguage acquisition[SCCO.PSYC]Cognitive science/Psychology[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]MESH : PsycholinguisticsCognitive psychologyMESH : Time FactorsOrder of acquisitionCognitive NeuroscienceExperimental and Cognitive PsychologyMESH: ReadingModels PsychologicalLanguage Development050105 experimental psychologyMESH: Psycholinguistics03 medical and health sciencesMESH: Neural Networks (Computer)ConnectionismArtificial IntelligenceMESH: Language DevelopmentMESH: Artificial IntelligenceHumans0501 psychology and cognitive sciencesMESH: Age FactorsMESH : Language DevelopmentMESH: HumansMESH: Time FactorsMESH : HumansMESH : ReadingWord lists by frequencyAge of AcquisitionReading[ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]MESH : Age FactorsNeural Networks Computer030217 neurology & neurosurgeryCognitive science
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Neurons and ECM regulate occludin localization in brain endothelial cells

2000

We report that extracellular matrix and neurons modulate the expression of occludin, one of the main components of tight junctions, by rat brain endothelial cells (RBE4.B). Of the three extracellular matrix proteins which we tested (collagen I, collagen IV, and laminin), collagen IV stimulated at the best the expression of occludin mRNA. The corresponding protein, however, was not synthesized. Significant amounts of occludin accumulated only when RBE4.B cells were cultured on collagen IV-coated inserts, in the presence of cortical neurons, plated on laminin-coated companion wells. Finally, occludin segregated at the cell periphery, only when endothelial cells were co- cultured with neurons …

Time FactorsEndothelial cellsCellOccludinTight JunctionsExtracellular matrixRats Sprague-DawleyFetusLamininNeurofilament ProteinsOccludinSettore BIO/10 - BiochimicaGlial Fibrillary Acidic ProteinmedicineAnimalsRNA MessengerCells CulturedBlood-brain barrierNeuronsbiologyTight junctionGeneral NeuroscienceBrainMembrane ProteinsCortical NeuronsExtracellular matrixImmunohistochemistryCell biologyRatsEndothelial stem cellmedicine.anatomical_structureMembrane proteinCell cultureSettore CHIM/09 - Farmaceutico Tecnologico ApplicativoCerebrovascular Circulationbiology.proteinSettore MED/26 - NeurologiaCollagenEndothelium VascularLamininNeuroscience
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Triclosan induces Fas receptor-dependent apoptosis in mouse neocortical neurons in vitro

2014

Triclosan (TCS) is a commonly used antimicrobial agent in personal care and sanitizing products, as well as in household items. Numerous studies have demonstrated the presence of TCS in various human tissues. Several studies have reported the accumulation of TCS in fish and human brain tissue. The aim of the present study was to investigate the effect of TCS on apoptosis in mouse neocortical neurons after 7 days of culture in vitro following 3, 6 and 24 h of exposure. To explore the mechanism underlying the effects of TCS in neurons, we studied the activation and protein expression of the Fas receptor (FasR) and caspase- 8, caspase-9 and caspase-3, as well as DNA fragmentation in TCS-treate…

Time FactorsExtrinsic apoptotic signaling pathwayApoptosisNeocortexDNA fragmentation.DNA FragmentationCaspase 8caspase-8FasRMicePregnancyAnimalsfas ReceptorFADDEnzyme InhibitorsCells CulturedNeuronsDose-Response Relationship DrugL-Lactate DehydrogenasebiologyGeneral NeurosciencefungiEmbryo MammalianStaurosporineFas receptorApoptotic bodyTriclosanIn vitroCell biologyBiochemistryApoptosisCaspasesbiology.proteinFatty Acid Synthesis InhibitorsDNA fragmentationFemaleNeuroscience
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Truncated TrkB receptor-induced outgrowth of dendritic filopodia involves the p75 neurotrophin receptor.

2004

The Trk family of receptor tyrosine kinases and the p75 receptor (p75NTR) mediate the effects of neurotrophins on neuronal survival, differentiation and synaptic plasticity. The neurotrophin BDNF and its cognate receptor tyrosine kinase, TrkB.FL, are highly expressed in neurons of the central nervous system. At later stages in postnatal development the truncated TrkB splice variants (TrkB.T1, TrkB.T2) become abundant. However, the signalling and function of these truncated receptors remained largely elusive.We show that overexpression of TrkB.T1 in hippocampal neurons induces the formation of dendritic filopodia, which are known precursors of synaptic spines. The induction of filopodia by T…

Time FactorsGreen Fluorescent ProteinsReceptors Nerve Growth FactorTropomyosin receptor kinase ATransfectionTropomyosin receptor kinase CHippocampusModels BiologicalPC12 CellsReceptor Nerve Growth FactorReceptor tyrosine kinaseLow-affinity nerve growth factor receptorAnimalsReceptor trkBNerve Growth FactorsPseudopodiaCloning MolecularNeuronsbiologyDose-Response Relationship Drugmusculoskeletal neural and ocular physiologyCell DifferentiationCell BiologyDendritesImmunohistochemistryDendritic filopodiaCell biologyProtein Structure TertiaryRatsnervous systemMicroscopy FluorescenceTrk receptorembryonic structuresNeurotrophin bindingCOS Cellsbiology.proteinsense organsNeurotrophinProtein BindingSignal TransductionJournal of cell science
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[Choosing a quality-of-life questionnaire].

2006

International audience; Define the objective of the questionnaire: Discrimination: do you want a questionnaire to enable you to describe the quality of life of patients or to compare the quality of life between groups of patients, for example, to determine who has improved and who has gotten worse? Assessment: do you want a questionnaire to help you measure changes over time (improvement or aggravation) in your patients? Determine the properties of instruments necessary for this objective: If the objective is discrimination, analyze: construct validity, reliability. If the objective is assessment, analyze construct validity, sensitivity to changes. Choose the general category of questionnai…

Time FactorsHealth StatusMESH : Randomized Controlled Trials as TopicMESH : Multicenter Studies as Topic[ SDV.NEU.SC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesSurveys and QuestionnairesActivities of Daily LivingHumansMulticenter Studies as TopicMESH : Health StatusMESH: Health StatusRandomized Controlled Trials as TopicMESH: HumansMESH: QuestionnairesMESH: Activities of Daily LivingMESH: Time FactorsMESH : HumansMESH: Quality of Life[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesMESH : QuestionnairesMESH : Follow-Up StudiesMESH: Follow-Up StudiesMESH : Quality of LifeMESH: Randomized Controlled Trials as TopicQuality of LifeMESH: Multicenter Studies as TopicMESH : Activities of Daily Living[SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesFollow-Up StudiesMESH : Time Factors
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