2013
Dynamic Coupling Between the Lateral Occipital-Cortex, Default-Mode, and Frontoparietal Networks During Bistable Perception
Karten A, Pantazatos SP, Khalil D, Zhang X, Hirsch J. Dynamic Coupling Between the Lateral Occipital-Cortex, Default-Mode, and Frontoparietal Networks During Bistable Perception. Brain Connectivity 2013, 3: 286-293. PMID: 23510237, PMCID: PMC3685318, DOI: 10.1089/brain.2012.0119.Peer-Reviewed Original Research
2012
Decoding Unattended Fearful Faces with Whole-Brain Correlations: An Approach to Identify Condition-Dependent Large-Scale Functional Connectivity
Pantazatos SP, Talati A, Pavlidis P, Hirsch J. Decoding Unattended Fearful Faces with Whole-Brain Correlations: An Approach to Identify Condition-Dependent Large-Scale Functional Connectivity. PLOS Computational Biology 2012, 8: e1002441. PMID: 22479172, PMCID: PMC3315448, DOI: 10.1371/journal.pcbi.1002441.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainBrain MappingComputer SimulationFacial ExpressionFearFemaleHumansMaleModels, NeurologicalNerve NetStatistics as TopicVisual PerceptionConceptsFearful facesEmotional expressionBilateral middle temporal gyrusThreat-related stimuliUnattended fearful facesLarge-scale functional connectivityMultiple functional connectionsFunctional magnetic resonanceWhole-brain patternsMiddle temporal gyrusWhole-brain correlationActive research goalNeutral facesEmotion processingFear perceptionImplicit fearImplicit presentationAngular gyrusChance accuracyTemporal gyrusBrain activityFace presentationPrefrontal cortexParietal regionsFunctional connectivity
2008
Comparison of contrast-response functions from multifocal visual-evoked potentials (mfVEPs) and functional MRI responses
Park JC, Zhang X, Ferrera J, Hirsch J, Hood DC. Comparison of contrast-response functions from multifocal visual-evoked potentials (mfVEPs) and functional MRI responses. Journal Of Vision 2008, 8: 8-8. PMID: 19146350, PMCID: PMC2987574, DOI: 10.1167/8.10.8.Peer-Reviewed Original ResearchConceptsBOLD fMRI responsesMultifocal visual-evoked potentialsContrast response functionsVisual-evoked potentialsFMRI responsesNeural activityFunctional MRI responsesBOLD fMRI signalMonocular mfVEPRetinotopic mapMRI responseV1 areaPattern stimuliBOLD responseFMRI signalsSame stimuliSubjectsResponseV1MfVEPStimuliMfVEPsCortexDetection of time-varying signals in event-related fMRI designs
Grinband J, Wager TD, Lindquist M, Ferrera VP, Hirsch J. Detection of time-varying signals in event-related fMRI designs. NeuroImage 2008, 43: 509-520. PMID: 18775784, PMCID: PMC2654219, DOI: 10.1016/j.neuroimage.2008.07.065.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingModels, NeurologicalSensitivity and SpecificityConceptsHemodynamic impulse response functionEvent-related fMRI designRapid event-related designsEvent-related designHuman response timeCognitive controlCognitive eventsResponse timeFMRI designBrain activityHemodynamic responseStimulus durationNeural activityFMRI dataMotor responseBrief impulsesBrief epochsProcessing durationStimulus intensityInterpretability of resultsType of activityCritical variablesElectrophysiological studiesNeuronal activityRegression analysisA multiplicative model for spatial interaction in the human visual cortex
Zhang X, Park JC, Salant J, Thomas S, Hirsch J, Hood DC. A multiplicative model for spatial interaction in the human visual cortex. Journal Of Vision 2008, 8: 4-4. PMID: 18831627, PMCID: PMC2987578, DOI: 10.1167/8.8.4.Peer-Reviewed Original Research
2006
Predictive Codes for Forthcoming Perception in the Frontal Cortex
Summerfield C, Egner T, Greene M, Koechlin E, Mangels J, Hirsch J. Predictive Codes for Forthcoming Perception in the Frontal Cortex. Science 2006, 314: 1311-1314. PMID: 17124325, DOI: 10.1126/science.1132028.Peer-Reviewed Original ResearchConceptsFrontal cortexIncoming sensory informationMedial frontal cortexPresence of facesPerceptual ambiguityPerceptual decisionsSensory evidenceNeural representationVisual objectsSensory environmentVisual areasPredictive codingSensory informationPredictive codePerceptionCortexFaceHuman subjectsBrainObserved evidenceDecisionsAmbiguityRepresentationEvidenceObjects
1992
A center-of-mass computation describes the precision of random dot displacement discrimination
Hirsch J, Mjolsness E. A center-of-mass computation describes the precision of random dot displacement discrimination. Vision Research 1992, 32: 335-346. PMID: 1574849, DOI: 10.1016/0042-6989(92)90143-7.Peer-Reviewed Original Research