Randolph Helfrich, MD, PhD
Assistant ProfessorAbout
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Titles
Assistant Professor
Biography
Randolph Helfrich is a neurologist-neuroscientist. He received his MD from the University of Tübingen, his medical research doctorate (Dr. med.) in Cognitive Neurology from the University of Tübingen and a PhD in Neurophysiology from the University of Hamburg, and completed postdoctoral training in Neuroscience at UC Berkeley as well as a residency in Neurology/Epileptology at the University of Tübingen where he also led a Emmy Noether research group funded by the German Research Foundation (DFG) from 2020-2025. He joined Yale University in July 2025.
Appointments
Department of Psychology
Assistant ProfessorPrimary
Other Departments & Organizations
Education & Training
- Residency
- University of Tübingen
- Postdoc
- UC Berkeley
- PhD
- University of Hamburg, Neurophysiology
- MD
- University of Tübingen, Neurology
Research
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Overview
Human goal-directed behavior results from the coordinated activity of widely distributed brain regions. Randolph Helfrich's central question is how neural circuits efficiently implement stable and consistent behaviors, but remain malleable to support cognitive flexibility. His overall goal is to understand how ever-changing brain activity supports cognitive processing. To determine the importance of the temporal structure of large-scale brain activity, his lab explores how the human brain implements attention- and memory-guided actions, context-dependent decisions, and our ability to abstract and generalize rules. His group further investigates sleep as a window to understand spontaneous neural activity in the absence of sensory input or immediate behavioral demands. Their central aim is to bridge the gap between macroscale neural correlates of behavior and microscale circuit properties, ultimately uncovering the neural mechanisms that make us distinctly human. Their integrative approach combines detailed behavioral testing with intracranial and non-invasive neurophysiological recordings to study human cognition with high spatiotemporal resolution. This work includes an integrative approach that fosters cross-disciplinary collaboration to merge human, clinical and animal studies. At the core, his research program address how coordinated neural activity across the wake-sleep cycle enables efficient and flexible cognitive processing.
ORCID
0000-0001-8045-3111Helfrich Lab
Cognitive and Clinical Neurophysiology
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Research at a Glance
Yale Co-Authors
Publications Timeline
Janna D Helfrich, MD
Publications
2026
Aperiodic 1/f noise drives ripple activity in humans
van Schalkwijk F, Helfrich R. Aperiodic 1/f noise drives ripple activity in humans. Nature Communications 2026, 17: 746. PMID: 41547910, PMCID: PMC12820272, DOI: 10.1038/s41467-026-68404-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsKH activityAwake ripplesRipple activitySharp-wave ripplesIntracranial EEG studiesRipple detectionBackground activityBrain statesEEG studiesMedial temporal lobePositive rateRodent hippocampusHippocampusFalse positive rateTemporal lobeHuman hippocampusSleepCortical processingCortical regionsDetection algorithmState
2025
Conjunctive population coding integrates sensory evidence to guide adaptive behavior
Terlau J, Ethofer S, Naros G, Fonken Y, Lin J, Knight R, Helfrich R. Conjunctive population coding integrates sensory evidence to guide adaptive behavior. Proceedings Of The National Academy Of Sciences Of The United States Of America 2025, 122: e2520444122. PMID: 41439712, PMCID: PMC12772193, DOI: 10.1073/pnas.2520444122.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsBehaviorally relevant informationSensory evidenceStimulus-action mappingsNeural population activityAdaptive behaviorRelevant informationIntegration of sensory evidencePopulation codeRepresentation spaceAdaptive human behaviorComputational challengesTemporal contextTask rulesCognitive flexibilityHuman intracranial electroencephalographyNeural basisPredictive informationStimulus discriminationPopulation geometryBehavioral benefitsStable representationEvidence accumulationSensory eventsPopulation activityCodeHigh-frequency bursts facilitate fast communication for human spatial attention
Banaie Boroujeni K, Helfrich R, Fiebelkorn I, Bentley J, Brunner P, Lin J, Knight R, Kastner S. High-frequency bursts facilitate fast communication for human spatial attention. Nature Neuroscience 2025, 29: 435-444. PMID: 41331141, PMCID: PMC12695012, DOI: 10.1038/s41593-025-02160-5.Peer-Reviewed Original ResearchCitationsAltmetricConceptsSpatial attention taskLong-range communicationAttentional performanceBehavioral accuracyAttention taskBrain networksTarget onsetSpatial attentionLow-frequency rhythmsNetwork communicationNeural networkIntracranial electrophysiologyFlexible behaviorInformation routingTemporal windowAssociation regionsFast communicationSensory cuesCuesSensory informationPopulation firingPopulation spikeBrainNetworkHigh-frequency burstsAperiodic Activity Reflects Pathologic Waveform Shapes in Focal Epilepsy
Heidiri L, Ethofer S, Naros G, van Schalkwijk F, Helfrich R. Aperiodic Activity Reflects Pathologic Waveform Shapes in Focal Epilepsy. Journal Of Neuroscience 2025, 45: e0146252025. PMID: 41213802, PMCID: PMC12696613, DOI: 10.1523/jneurosci.0146-25.2025.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSeizure activityEEG background activityIntracranial electroencephalographyQuantitative EEG analysisSlow-wave componentsSeizure onset zoneSpectral slopeExcitability disordersPharmacoresistant epilepsyFocal seizuresSpike activityEpileptic activityOnset zonePathological excitationEpileptic spike activityFocal epilepsyBackground activitySeizuresElectrophysiological activityEpilepsyEpileptic componentsIntracranial electroencephalography recordingsEEG analysisAperiodic activityExcitation dynamicsStructure in noise: Recurrent connectivity shapes neural variability to balance perceptual and cognitive demands in the human brain
Terlau J, Martini J, Helfrich R. Structure in noise: Recurrent connectivity shapes neural variability to balance perceptual and cognitive demands in the human brain. Neuron 2025, 114: 359-372.e5. PMID: 41205610, DOI: 10.1016/j.neuron.2025.10.015.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNeural variabilityCortical gradientsSpatiotemporal unfoldingMemory maintenanceCognitive performanceCognitive processesAssociation cortexCognitive demandsSensory representationsSensory processingAdaptive behaviorAssociation areasNeural population activityCortical hierarchyBehavioral consistencyHuman brainSensory areasPopulation activityHuman behaviorRecurrent connectionsRecurrent dynamicsCortexMemoryBrainBehaviorHuman attention-guided visual perception is governed by rhythmic oscillations and aperiodic timescales
Raposo I, Fiebelkorn I, Lin J, Parvizi J, Kastner S, Knight R, Breska A, Helfrich R. Human attention-guided visual perception is governed by rhythmic oscillations and aperiodic timescales. PLOS Biology 2025, 23: e3003232. PMID: 40577312, PMCID: PMC12204476, DOI: 10.1371/journal.pbio.3003232.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsTemporal regularityNeural mechanismsNeural timescalesPrecision allocationContemporary modelsIntrinsic neural timescalesFramework of attentionModel of attentionTemporal structureAction executionVisual perceptionAttentional samplingVisual spacePeriodic brain activityAssociation cortexBrain activityComputer simulationsSensory representationsSensory processingBehavioral demandsNeuronal oscillationsTimescalesOrchestrating prefrontal cognitive control: The thalamus in command
Helfrich R. Orchestrating prefrontal cognitive control: The thalamus in command. Neuron 2025, 113: 1851-1854. PMID: 40541329, DOI: 10.1016/j.neuron.2025.05.021.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConnectome-based disentangling of epilepsy networks from insular stereoelectroencephalographic leads
Machetanz K, Weinbrenner E, Wuttke T, Ethofer S, Helfrich R, Kegele J, Lauxmann S, Alber M, Rona S, Tatagiba M, Lerche H, Honegger J, Naros G. Connectome-based disentangling of epilepsy networks from insular stereoelectroencephalographic leads. Frontiers In Neurology 2025, 15: 1460453. PMID: 39830202, PMCID: PMC11738935, DOI: 10.3389/fneur.2024.1460453.Peer-Reviewed Original ResearchCitationsAltmetricConceptsBrain regionsFunctional connectivitySeizure onset zoneSuperior temporal gyrusFunctional networksSemiology of seizuresVoxel-wise regressionEpilepsy networkMultivariate analysis of varianceNormative connectomeAnterior insulaTemporal gyrusInsular connectivityPosterior insulaMultivariate analysisEpileptic dischargesHeschl's gyrusDeep brain stimulationInsulaNetwork disorderConnectomeConnectome analysisLocalize epileptic activityBrain stimulationGyrus
2024
Slow Oscillation–Spindle Coupling Predicts Sequence-Based Language Learning
Cross Z, Helfrich R, Corcoran A, Dede A, Kohler M, Coussens S, Zou-Williams L, Schlesewsky M, Gaskell G, Knight R, Bornkessel-Schlesewsky I. Slow Oscillation–Spindle Coupling Predicts Sequence-Based Language Learning. Journal Of Neuroscience 2024, 45: e2193232024. PMID: 39572236, PMCID: PMC11735671, DOI: 10.1523/jneurosci.2193-23.2024.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSO-spindle couplingWord order rulesNonrapid eye movement sleepMemory consolidationArtificial language learning taskAssociated with behavioral sensitizationTask-related theta activityTheta activityWord order processingLong-term memoryComplex cognitive processesLanguage learning tasksAssociated with superior performanceSentence comprehensionLanguage comprehensionSlow oscillationsBehavioral sensitizationCognitive controlOrdering rulesWorking memoryEye movement sleepCognitive processesPeriods of wakefulnessElectrophysiological signaturesNeurophysiological evidenceA tradeoff between efficiency and robustness in the hippocampal-neocortical memory network during human and rodent sleep
Hahn M, Lendner J, Anwander M, Slama K, Knight R, Lin J, Helfrich R. A tradeoff between efficiency and robustness in the hippocampal-neocortical memory network during human and rodent sleep. Progress In Neurobiology 2024, 242: 102672. PMID: 39369838, DOI: 10.1016/j.pneurobio.2024.102672.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNon-REM sleepInformation coding efficiencyConsolidation processCoding efficiencyStates of disengagementPopulation codeInformation processing capacityMemory consolidationTask engagementCognitive resourcesMemory formationNeural population codesInformation-theoretic perspectiveCognitive engagementBrain statesInformation processingRobust codesIntracranial studiesMemory networkCoding regimeSleepNeocortexPattern repetitionExternal worldProcessing capacity
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