Search results for "Neuronal Tuning"

showing 4 items of 4 documents

Topographic Independent Component Analysis reveals random scrambling of orientation in visual space

2017

Neurons at primary visual cortex (V1) in humans and other species are edge filters organized in orientation maps. In these maps, neurons with similar orientation preference are clustered together in iso-orientation domains. These maps have two fundamental properties: (1) retinotopy, i.e. correspondence between displacements at the image space and displacements at the cortical surface, and (2) a trade-off between good coverage of the visual field with all orientations and continuity of iso-orientation domains in the cortical space. There is an active debate on the origin of these locally continuous maps. While most of the existing descriptions take purely geometric/mechanistic approaches whi…

0301 basic medicineComputer scienceVisionVisual spaceStatistics as Topiclcsh:MedicineSocial SciencesSpace (mathematics)Scramblingchemistry.chemical_compound0302 clinical medicineCognitionLearning and MemoryAnimal CellsMedicine and Health SciencesPsychologylcsh:Sciencemedia_commonVisual CortexNeuronsMammalsObject RecognitionCoding MechanismsBrain MappingMultidisciplinaryGeographyOrientation (computer vision)Visual fieldmedicine.anatomical_structureVertebratesSensory PerceptionCellular TypesAnatomyNeuronal TuningResearch ArticleCartographyPrimatesmedia_common.quotation_subjectOcular AnatomyRetina03 medical and health sciencesTopographic MapsOcular SystemMemoryPerceptionOrientationNeuronal tuningmedicineAnimalsHumansCortical surfaceComputational NeuroscienceRetinabusiness.industrylcsh:ROrganismsCognitive PsychologyBiology and Life SciencesComputational BiologyRetinalPattern recognitionCell Biology030104 developmental biologyVisual cortexchemistryRetinotopyCellular NeuroscienceAmniotesEarth SciencesCognitive Sciencelcsh:QPerceptionArtificial intelligencebusiness030217 neurology & neurosurgeryNeurosciencePLoS ONE
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Both attention and prediction are necessary for adaptive neuronal tuning in sensory processing

2014

International audience; The brain as a proactive system processes sensory information under the top-down influence of attention and prediction. However, the relation between attention and prediction remains undetermined given the conflation of these two mechanisms in the literature. To evaluate whether attention and prediction are dependent of each other, and if so, how these two top-down mechanisms may interact in sensory processing, we orthogonally manipulated attention and prediction in a target detection task. Participants were instructed to pay attention to one of two interleaved stimulus streams of predictable/unpredictable tone frequency. We found that attention and prediction intera…

Auditory areaSensory systemElectroencephalographyStimulus (physiology)event-related potentials050105 experimental psychologylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience[SCCO]Cognitive science0302 clinical medicineEvent-related potentialNeuronal tuningmedicine0501 psychology and cognitive sciencesOriginal Research ArticleElectroencephalography (EEG)tarkkaavaisuussensory processinglcsh:Neurosciences. Biological psychiatry. NeuropsychiatryDipole sourceBiological Psychiatryta515medicine.diagnostic_test[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesCorrectionpredictionConflationattentionPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyevent-related potentials (ERPs)PsychologyNeuroscience030217 neurology & neurosurgeryelectroencephalographyNeuroscienceFrontiers in human neuroscience
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2015

The manner in which populations of inhibitory (INH) and excitatory (EXC) neocortical neurons collectively encode stimulus-related information is a fundamental, yet still unresolved question. Here we address this question by simultaneously recording with large-scale multi-electrode arrays (of up to 128 channels) the activity of cell ensembles (of up to 74 neurons) distributed along all layers of 3–4 neighboring cortical columns in the anesthetized adult rat somatosensory barrel cortex in vivo. Using two different whisker stimulus modalities (location and frequency) we show that individual INH neurons – classified as such according to their distinct extracellular spike waveforms – discriminat…

Ecologybusiness.industrySensory systemBarrel cortexBiologyStimulus (physiology)Somatosensory systemInhibitory postsynaptic potentialMachine learningcomputer.software_genreCellular and Molecular NeuroscienceComputational Theory and MathematicsModeling and SimulationNeuronal tuningGeneticsExcitatory postsynaptic potentialArtificial intelligencebusinessMolecular BiologyNeurosciencecomputerEcology Evolution Behavior and SystematicsInformation redundancyPLOS Computational Biology
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Corrigendum: Both attention and prediction are necessary for adaptive neuronal tuning in sensory processing

2017

Sensory processingComputer sciencemedicine.medical_treatmentElectroencephalographyevent-related potentials050105 experimental psychologySensory neurosciencelcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicineEvent-related potentialNeuronal tuningmedicine0501 psychology and cognitive sciencessensory processinglcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological Psychiatrymedicine.diagnostic_test05 social sciencespredictionattentionPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyNeuroscience030217 neurology & neurosurgeryelectroencephalographyNeuroscienceFrontiers in Human Neuroscience
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