Search results for "NEUROSCIENCE"

showing 10 items of 8040 documents

Combining gestures and vocalizations to imitate sounds

2015

International audience; Communicating about sounds is a difficult task without a technical language, and naïve speakers often rely on different kinds of non-linguistic vocalizations and body gestures (Lemaitre et al. 2014). Previous work has independently studied how effectively people describe sounds with gestures or vocalizations (Caramiaux, 2014, Lemaitre and Rocchesso, 2014). However, speech communication studies suggest a more intimate link between the two processes (Kendon, 2004). Our study thus focused on the combination of manual gestures and non-speech vocalizations in the communication of sounds. We first collected a large database of vocal and gestural imitations of a variety of …

Acoustics and UltrasonicsComputer scienceInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)Speech recognition02 engineering and technologyRepresentation (arts)[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Loudness[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SCCO]Cognitive science0202 electrical engineering electronic engineering information engineering[ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]050107 human factorsComputingMilieux_MISCELLANEOUSSound (medical instrument)05 social sciences[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ SCCO.COMP ] Cognitive science/Computer science[SCCO.PSYC] Cognitive science/Psychology[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD][ SCCO.NEUR ] Cognitive science/Neuroscience[SCCO.PSYC]Cognitive science/Psychology[ INFO.EIAH ] Computer Science [cs]/Technology for Human Learning[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.EIAH]Computer Science [cs]/Technology for Human Learning[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGesture[ SHS.MUSIQ ] Humanities and Social Sciences/Musicology and performing artsAcoustics[SCCO.COMP]Cognitive science/Computer scienceArts and Humanities (miscellaneous)[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]0501 psychology and cognitive sciences[ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]Set (psychology)[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph][SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph][SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts[ INFO.INFO-ET ] Computer Science [cs]/Emerging Technologies [cs.ET][SCCO.NEUR]Cognitive science/Neuroscience020207 software engineering[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnologyVariety (linguistics)loudness[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Noise (video)[ INFO.INFO-SD ] Computer Science [cs]/Sound [cs.SD]
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Comparing identification of vocal imitations and computational sketches of everyday sounds

2016

International audience; Sounds are notably difficult to describe. It is thus not surprising that human speakers often use many imitative vocalizations to communicate about sounds. In practice,vocal imitations of non-speech everyday sounds (e.g. the sound of a car passing by) arevery effective: listeners identify sounds better with vocal imitations than with verbal descriptions, despite the fact that vocal imitations are often inaccurate, constrained by the human vocal apparatus. The present study investigated the semantic representations evoked by vocal imitations by experimentally quantifying how well listeners could match sounds to category labels. Itcompared two different types of sounds…

Acoustics and UltrasonicsComputer science[ SHS.MUSIQ ] Humanities and Social Sciences/Musicology and performing artsSpeech recognitionAcoustics[SCCO.COMP]Cognitive science/Computer science[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics][SCCO]Cognitive scienceArts and Humanities (miscellaneous)[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC][ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ComputingMilieux_MISCELLANEOUSSound (medical instrument)[ INFO.INFO-ET ] Computer Science [cs]/Emerging Technologies [cs.ET][SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts[SCCO.NEUR]Cognitive science/Neuroscience[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnologyIdentification (information)[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ SCCO.COMP ] Cognitive science/Computer science[ SCCO.NEUR ] Cognitive science/Neuroscience[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD][ INFO.EIAH ] Computer Science [cs]/Technology for Human Learning[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.EIAH]Computer Science [cs]/Technology for Human Learning[ INFO.INFO-SD ] Computer Science [cs]/Sound [cs.SD][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Author response: Differential contributions of the two human cerebral hemispheres to action timing

2019

Action (philosophy)PsychologyNeuroscienceDifferential (mathematics)
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Rapid developmental switch in the mechanisms driving early cortical columnar networks

2006

The immature cerebral cortex self-organizes into local neuronal clusters long before it is activated by patterned sensory inputs. In the cortical anlage of newborn mammals, neurons coassemble through electrical or chemical synapses either spontaneously or by activation of transmitter-gated receptors. The neuronal network and the cellular mechanisms underlying this cortical self-organization process during early development are not completely understood. Here we show in an intact in vitro preparation of the immature mouse cerebral cortex that neurons are functionally coupled in local clusters by means of propagating network oscillations in the beta frequency range. In the newborn mouse, this…

Action PotentialsSensory systemBiologyReceptors N-Methyl-D-AspartateSynapseMiceSubplatemedicineBiological neural networkAnimalsReceptorNeuronsMultidisciplinaryGap junctionGap JunctionsSomatosensory CortexElectrophysiologyMice Inbred C57BLElectrophysiologymedicine.anatomical_structureBiochemistryAnimals NewbornCerebral cortexSynapsesNMDA receptorCarbacholNeuronCortical columnNeurosciencee-Neuroforum
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Specific transfer effects following variable priority dual-task training in older adults

2016

International audience; Purpose: Past divided attention training studies in older adults have suggested that variable priority training (VPT) tends to show larger improvement than fixed priority training (FPT). However, it remains unclear whether VPT leads to larger transfer effects. Methods: In this study, eighty-three older adults aged between 55 and 65 received five 1-hour sessions of VPT, FPT or of an active placebo. VPT and FPT subjects trained on a complex dual-task condition with variable stimulus timings in order to promote more flexible and self-guided strategies with regard to attentional priority devoted to the concurrent tasks. Real-time individualized feedback was provided to e…

Active placeboMalemedicine.medical_specialtyAgingComputer User TrainingTransfertTransfer Psychology[ SCCO.PSYC ] Cognitive science/PsychologyStimulus (physiology)Neuropsychological Tests050105 experimental psychology[ SDV.NEU.PC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationDiscrimination PsychologicalDevelopmental NeuroscienceComputer User TrainingmedicineReaction TimeHumans0501 psychology and cognitive sciencesAttentionAgedAnalysis of Variance[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behaviorTeaching[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesMiddle AgedDivided attentionCognitive trainingVariable priority trainingNeurologyPattern Recognition VisualCognitive trainingDivided attentionOlder adults[SCCO.PSYC]Cognitive science/Psychology[ SCCO.NEUR ] Cognitive science/NeuroscienceFemaleNeurology (clinical)Analysis of varianceIndependent LivingPsychology030217 neurology & neurosurgery
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Rhythmic variations in reaction times and evoked potentials

1995

The present work aimed to assess the existence of a regular ultradian cyclicity underlying the variations in amplitude of the N1-P2 component of acoustic EP during a relatively long recording session and investigate its relationship with behavioral measure as RT to the same stimulus. 128 tones were presented to each subject; 128 RTs and the associated EPs to target stimuli were recorded. N1-P2 amplitude has been measured at a single trial level through Woody adaptive filter modified by Wastell. Results showed that there are ultradian rhythmic variations of N1-P2 and RT, with a periodicity from about 5 to 40 min and these variations have similar patterns in the two measures in most of the su…

Activity CyclesAdultmedicine.medical_specialtymedia_common.quotation_subjectAudiologyStimulus (physiology)RhythmmedicineReaction TimeHumansmedia_commonUltradian rhythmChronobiologyCommunicationbusiness.industryGeneral NeuroscienceElectroencephalographyGeneral MedicineElectrooculographyAmplitudeEvoked Potentials AuditorySingle trialbusinessPsychologyArousalVigilance (psychology)
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Ultradian rhythms in avoidance behavior of DBA mice

1994

This study investigates ultradian rhythm in avoidance behavior of mice, which may constitute a basic rest activity cycle (BRAC). Reaction times (RTs) of an avoidance response to a visual warning stimulus that preceded an electric shock were measured by the use of a computer-controlled shuttle box. The male naive DBA mice were brought to a criterion of 98% correct responses in numerous training sessions. For each subject, all the temporal sequences of the RTs in the trials following achievement of the criterion were examined with discrete Fourier transform. Periodograms were obtained from three sessions for each of the two animals in the first experiment and from 15 subjects in the second ex…

Activity CyclesMaleElectroshockmedicine.medical_specialtymedia_common.quotation_subjectExperimental and Cognitive PsychologyStimulus (physiology)Avoidance responseAudiologyRest activityDevelopmental psychologyMiceBehavioral NeuroscienceRhythmMice Inbred DBAShuttle boxAvoidance LearningReaction TimemedicineAnimalsPsychologyUltradian rhythmVigilance (psychology)media_commonPhysiology & Behavior
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Is the nonREM–REM sleep cycle reset by forced awakenings from REM sleep?

2002

In selective REM sleep deprivation (SRSD), the occurrence of stage REM is repeatedly interrupted by short awakenings. Typically, the interventions aggregate in clusters resembling the REM episodes in undisturbed sleep. This salient phenomenon can easily be explained if the nonREM–REM sleep process is continued during the periods of forced wakefulness. However, earlier studies have alternatively suggested that awakenings from sleep might rather discontinue and reset the ultradian process. Theoretically, the two explanations predict a different distribution of REM episode duration. We evaluated 117 SRSD treatment nights recorded from 14 depressive inpatients receiving low dosages of Trimipram…

Activity CyclesMaleSelective REM sleep deprivationPolysomnographyAudiologyBehavioral NeuroscienceNIGHTSleep onset REM episodeDEPRIVATIONSlow-wave sleepmedia_commonDEPRESSIVE PATIENTSmedicine.diagnostic_testDepressionmusculoskeletal neural and ocular physiologyTRIMIPRAMINEMiddle AgedAntidepressive AgentsAnesthesiaLATENCIESFemaleWakefulnessArousalPsychologyAlgorithmspsychological phenomena and processesmedicine.drugVigilance (psychology)Adultmedicine.medical_specialtyREM episodePolysomnographymedia_common.quotation_subjectRapid eye movement sleepSleep REMExperimental and Cognitive PsychologyNon-rapid eye movement sleepmental disordersmedicineHumansWakefulnessMODULATIONUltradian rhythmINTERRUPTIONARTIFICIAL NEURAL NETWORKSRECOGNITIONTrimipramineUltradian processSleep cycleSleepEYE-MOVEMENT SLEEPPhysiology & Behavior
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Acute effects of fluoxetine on inhibitory avoidance consolidation in male and female OF1 mice

2001

The effects of acute administration of fluoxetine on memory consolidation using an inhibitory avoidance task were investigated in male and female OF1 mice. Several doses of this antidepressant (5, 10, and 20 mg/kg) were intraperitoneally administered immediately after the training session. The test session was carried out four days later and response latencies were measured in both sessions. The results showed that the highest dose of fluoxetine significantly increased response latencies of inhibitory avoidance compared with the lowest dose and the control group. Sex differences in this task were observed, females showing a better performance. But the drug's effects were not sexually dimorp…

Acute effectsFluoxetineGeneral NeurosciencePhysiologyInhibitory postsynaptic potentialLocomotor activitySexual dimorphismAvoidance learningAnesthesiamedicineAntidepressantMemory consolidationPsychologymedicine.drugNeuroscience Research Communications
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Acute stress and working memory in older people.

2015

Several studies have shown that acute stress affects working memory (WM) in young adults, but the effect in older people is understudied. As observed in other types of memory, older people may be less sensitive to acute effects of stress on WM. We performed two independent studies with healthy older men and women (from 55 to 77 years old) to investigate the effects of acute stress (Trier Social Stress Test; TSST) and cortisol on WM. In study 1 (n = 63), after the TSST women (but not men) improved their performance on Digit Span Forward (a measure of the memory span component of WM) but not on Digit Span Backward (a measure of both memory span and the executive component of WM). Furthermore,…

Acute effectsMaleendocrine systemmedicine.medical_specialtyHydrocortisonePhysiologyAudiologyDevelopmental psychologyBehavioral NeuroscienceTrier social stress testmedicineMemory spanHumansYoung adultAcute stressAssociation (psychology)SalivaSocial BehaviorAgedEndocrine and Autonomic SystemsWorking memoryMiddle AgedPsychiatry and Mental healthNeuropsychology and Physiological PsychologyMemory Short-TermSalivary alpha-AmylasesFemaleOlder peoplePsychologyStress PsychologicalStress (Amsterdam, Netherlands)
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