2023
FLAN: feature-wise latent additive neural models for biological applications
Nguyen A, Vasilaki S, Martínez M. FLAN: feature-wise latent additive neural models for biological applications. Briefings In Bioinformatics 2023, 24: bbad056. PMID: 37031956, PMCID: PMC10199769, DOI: 10.1093/bib/bbad056.Peer-Reviewed Original ResearchConceptsLearning modelsDeep neural networksDeep learning modelsMachine learning modelsBenchmark datasetsLatent spaceNeural modelNeural networkAlgorithmic decisionsEnd-usersBlack-boxComplex datasetsAggregated representationDecision processCritical scenariosImpressive resultsDatasetIndividual featuresRepresentationBiological domainData availabilityCodeUsersDecisionPerformanceMonoNet: enhancing interpretability in neural networks via monotonic features
Nguyen A, Moreno D, Le-Bel N, Martínez M. MonoNet: enhancing interpretability in neural networks via monotonic features. Bioinformatics Advances 2023, 3: vbad016. PMID: 37143924, PMCID: PMC10152389, DOI: 10.1093/bioadv/vbad016.Peer-Reviewed Original ResearchNeural networkMonotonicity constraintsHigh-stakes scenariosInformation-theoretic analysisMachine learning modelsMedical informaticsNeural modelLearning capabilityLearning modelsBioinformatics Advances</i>Monotonous featuresComputational biologyEnhance interpretationModeling capabilitiesDatasetInterpretable modelsLearning processSample dataNetworkPower modelLearningSupplementary dataConstraintsPerformanceInformatics
2022
A machine learning application for raising WASH awareness in the times of COVID-19 pandemic
Pandey R, Gautam V, Pal R, Bandhey H, Dhingra L, Misra V, Sharma H, Jain C, Bhagat K, Arushi, Patel L, Agarwal M, Agrawal S, Jalan R, Wadhwa A, Garg A, Agrawal Y, Rana B, Kumaraguru P, Sethi T. A machine learning application for raising WASH awareness in the times of COVID-19 pandemic. Scientific Reports 2022, 12: 810. PMID: 35039533, PMCID: PMC8764038, DOI: 10.1038/s41598-021-03869-6.Peer-Reviewed Original ResearchConceptsMachine learning applicationsMachine learningArtificial intelligenceLearning applicationsContinuous machine learningConversational artificial intelligenceHealth misinformationLeverage machine learningConversational AIMachine translationNeural modelAI chatbotsDelivery of informationRight informationCombat misinformationMachineHealth appsMHealth platformAppsLearningNews contentVernacular languageInformationLocal languageCOVID-19 information
2019
CEDR
MacAvaney S, Yates A, Cohan A, Goharian N. CEDR. 2019, 1101-1104. DOI: 10.1145/3331184.3331317.Peer-Reviewed Original Research
2015
Functional hierarchy underlies preferential connectivity disturbances in schizophrenia
Yang GJ, Murray JD, Wang XJ, Glahn DC, Pearlson GD, Repovs G, Krystal JH, Anticevic A. Functional hierarchy underlies preferential connectivity disturbances in schizophrenia. Proceedings Of The National Academy Of Sciences Of The United States Of America 2015, 113: e219-e228. PMID: 26699491, PMCID: PMC4720350, DOI: 10.1073/pnas.1508436113.Peer-Reviewed Original ResearchConceptsFunctional connectivityResting-state functional MRIExcitation/inhibition ratioElevated functional connectivityLarge-scale functional connectivityFronto-parietal control networkI elevationConnectivity disturbancesHealthy subjectsPreferential vulnerabilityAssociation cortexSchizophrenia patientsBipolar disorderFunctional MRIPatientsSymptom levelsSchizophreniaCortical microcircuitsInhibition ratioNeural modelControl networkNeuronal dynamicsHierarchical differencesParsimonious mechanismDysconnectivityTesting sensory evidence against mnemonic templates
Myers N, Rohenkohl G, Wyart V, Woolrich M, Nobre A, Stokes M. Testing sensory evidence against mnemonic templates. ELife 2015, 4: e09000. PMID: 26653854, PMCID: PMC4755744, DOI: 10.7554/elife.09000.Peer-Reviewed Original ResearchConceptsVisual target detection taskTarget detection taskStimulus encodingTemplate codeNeural modelTemplate representationPerceptual decisionsSensory evidenceNeural representationTemplate informationStimulus onsetCross-generationTransform inputsPre-activationStimuliDecision stageRepresentationInternal templatePattern analysisClassic studyCurrent inputComplex trajectoriesInputEncodingProposal
2014
On the Mismeasurement of Impulsivity: Trait, Behavioral, and Neural Models in Alcohol Research among Adolescents and Young Adults
King K, Patock-Peckham J, Dager A, Thimm K, Gates J. On the Mismeasurement of Impulsivity: Trait, Behavioral, and Neural Models in Alcohol Research among Adolescents and Young Adults. Current Addiction Reports 2014, 1: 19-32. DOI: 10.1007/s40429-013-0005-4.Peer-Reviewed Original ResearchBehavioral impulsivityTrait modelNeural modelDefinition of impulsivityShared theoretical frameworkTwo-factor modelAlcohol use riskAlcohol researchEmotion dysregulationEffortful controlImpulsigenic traitsImpulsive choiceMotivational driveDevelopmental researchImpulsivityPsychosocial traitsDevelopmental modelYoung adulthoodBehavioral researchAlcohol useGeneral underrepresentationYoung adultsEmpirical connectionUse riskBehavioral model
2012
Inhaled oxytocin amplifies both vicarious reinforcement and self reinforcement in rhesus macaques (Macaca mulatta)
Chang SW, Barter JW, Ebitz RB, Watson KK, Platt ML. Inhaled oxytocin amplifies both vicarious reinforcement and self reinforcement in rhesus macaques (Macaca mulatta). Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 959-964. PMID: 22215593, PMCID: PMC3271866, DOI: 10.1073/pnas.1114621109.Peer-Reviewed Original ResearchConceptsDelivery of rewardTypical social behaviorsProsocial choicesDecision latenciesObservational learningSpecies-typical social behaviorsNeural mechanismsSelfish choicesVicarious reinforcementSocial behaviorDistinct contextsDonation behaviorHuman behaviorNeural modelRewardSocial awarenessSelf-ReinforcementOxytocinPrairie volesSelfMonogamous onesRhesus macaquesOwn experienceEmpathyAttention
2011
Neural Models of Psychodynamic Concepts and Treatments: Implications for Psychodynamic Psychotherapy
Roffman J, Gerber A, Glick D. Neural Models of Psychodynamic Concepts and Treatments: Implications for Psychodynamic Psychotherapy. Current Clinical Psychiatry 2011, 193-218. DOI: 10.1007/978-1-60761-792-1_11.Peer-Reviewed Original ResearchPsychodynamic psychotherapyBrain functionLevel of affectModern neuroimaging techniquesEffects of psychotherapyNeural substratesFunctional neuroimagingPsychodynamic conceptsNeuroimaging techniquesPsychotherapy researchNeural modelPsychotherapyBrain physiologyRemarkable findingCognitionAffectImplicationsFuture practice
2008
Modelling distractor devaluation (DD) and its neurophysiological correlates
Fragopanagos N, Cristescu T, Goolsby B, Kiss M, Eimer M, Nobre A, Raymond J, Shapiro K, Taylor J. Modelling distractor devaluation (DD) and its neurophysiological correlates. Neuropsychologia 2008, 47: 2354-2366. PMID: 18930750, DOI: 10.1016/j.neuropsychologia.2008.09.018.Peer-Reviewed Original Research
2007
Schizophrenia and semantic memory
Assaf M, Rivkin P, Kraut M, Calhoun V, Hart J, Pearlson G. Schizophrenia and semantic memory. 2007, 133-146. DOI: 10.1017/cbo9780511544965.006.Peer-Reviewed Original ResearchSemantic memoryMemory of objectsFocal brain damageMemory representationsMemory mechanismsMemory systemNeural organizationBrain regionsMemoryNeural modelBrain functionCurrent theoriesSpecific domainsBrain damageNormal healthy individualsIndividualsHealthy individualsWordsNormal individualsBrain diseasesSchizophreniaProcessing moduleSignificant increaseModern investigative techniquesRepresentation
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