ZACHARYPITKOWZACHARY PITKOW0.000000000000000.000000000000005607PITKOW, ZACHARYAdjunct Associate Professorprns:coAuthorOfcoauthor ofprns:endDateend dateFaculty Rankprns:fullNamefull nameprns:grantAwardedBygrant awarded byprns:hasAuthorListauthor listprns:hasFacultyRankhas faculty rankprns:hasNetworkhas networkprns:hasPublicationVenuepublished inprns:informationResourceReferenceinformation resource referenceprns:isPrimaryPositionis primary positionprns:latitudelatitudeprns:longitudelongitudeprns:mainImagephotoprns:maxWeightmaximum weightprns:medlineTAjournal title abbreviationprns:meshDescriptorUIMeSH DescriptorUIprns:meshSemanticGroupNameMeSH semantic group nameprns:minWeightminimum weightprns:numberOfAuthorsnumber of authorsprns:numberOfConnectionsnumber of connectionsprns:numberOfPublicationsnumber of publicationsprns:personIdPerson IDprns:personInPrimaryPositionperson in primary positionprns:physicalNeighborOfphysical neighborprns:positionInDepartmentposition in departmentprns:positionInDivisionposition in divisionprns:predicateNodepredicate nodeprns:principalInvestigatorNameprincipal investigator nameprns:publicationDatepublication dateprns:similarTosimilar toprns:sortOrdersort orderprns:startDatestart dateprns:uniquenessWeightuniqueness weightprns:yearyearAcademic ArticleArticleDocumentbibo:pmidPubMed IdentifierAddressvivo:address1address line 1vivo:addressCitycityvivo:addressPostalCodepostal codeAgreementvivo:authorInAuthorshipselected publicationsvivo:authorRankauthor rank in publicationAuthorshipDepartmentDivisionGrantvivo:hasResearchArearesearch areasvivo:hasResearcherRoleresearch activitiesvivo:hrJobTitleHR job titleInformation Resourcevivo:linkedAuthorlinked authorvivo:linkedInformationResourcelinked information resourcevivo:mailingAddressmailing addressvivo:personInPositionpositionsPositionvivo:positionInOrganizationposition in organizationvivo:preferredTitlepreferred titleResearcher Rolevivo:researcherRoleOfresearcher role ofRolevivo:roleContributesTocontributes tovivo:sponsorAwardIdsponsor award idrdf:predicatepredicaterdf:typetyperdfs:labellabelConceptAgentfoaf:firstNamefirst namefoaf:lastNamelast nameOrganizationPersonFABIANSINZFABIAN SINZ8331SINZ, FABIANAdjunct Assistant ProfessorAnesthesiology & PeriOperative MedicineMD AndersonHUI-LINPANHUI-LIN PAN9317PAN, HUI-LINProfessorEDWARD I-FEICHANGEDWARD I-FEI CHANG9662CHANG, EDWARD I-FEIAssociate Professor26182422Pitkow X, Liu S, Angelaki DE, DeAngelis GC, Pouget ANeuronHow Can Single Sensory Neurons Predict Behavior? Neuron. 2015 Jul 15; 87(2):411-23.Neuron2015-07-15T00:00:002015How Can Single Sensory Neurons Predict Behavior?74Professor10Assistant Professor14Associate Professor2Adjunct Assistant Professor3Adjunct Associate Professor47Distinguished Service Professor27334948Kim HR, Pitkow X, Angelaki DE, DeAngelis GCJournal of neurophysiologyA simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons. J Neurophysiol. 2016 09 01; 116(3):1449-67.J Neurophysiol2016-06-22T00:00:002016A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons.53Graduate Student28595050Pitkow X, Angelaki DENeuronInference in the Brain: Statistics Flowing in Redundant Population Codes. Neuron. 2017 Jun 07; 94(5):943-953.Neuron2017-06-07T00:00:002017Inference in the Brain: Statistics Flowing in Redundant Population Codes.true1Assistant ProfessorAssistant Professortrue1Assistant ProfessorAssistant Professortrue1ProfessorProfessortrue1Distinguished Service ProfessorDistinguished Service ProfessorD009474Anatomy61322830.451946NeuronsD001921Anatomy116340860.375393Braintrue1ProfessorProfessorZhuokunDingZhuokun Ding14410Ding, ZhuokunGraduate StudentD008959Concepts & Ideas1182290.877622Models, NeurologicalD011336Concepts & Ideas4878640.846862Probability29937278Lakshminarasimhan KJ, Petsalis M, Park H, DeAngelis GC, Pitkow X, Angelaki DENeuronA Dynamic Bayesian Observer Model Reveals Origins of Bias in Visual Path Integration. Neuron. 2018 07 11; 99(1):194-206.e5.Neuron2018-06-21T00:00:002018A Dynamic Bayesian Observer Model Reveals Origins of Bias in Visual Path Integration.30248091Lakshminarasimhan KJ, Pouget A, DeAngelis GC, Angelaki DE, Pitkow XPLoS computational biologyInferring decoding strategies for multiple correlated neural populations. PLoS Comput Biol. 2018 09; 14(9):e1006371.PLoS Comput Biol2018-09-24T00:00:002018Inferring decoding strategies for multiple correlated neural populations.30365390Subramaniyan M, Ecker AS, Patel SS, Cotton RJ, Bethge M, Pitkow X, Berens P, Tolias ASJournal of neurophysiologyFaster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. J Neurophysiol. 2018 11 01; 120(5):2430-2452.J Neurophysiol2018-08-22T00:00:002018Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion.One Baylor PlazaHouston, 770302.115430.010187194research areas2.021810.047249415coauthor of29.74574.6674660similar to1135selected publications2020-06-30NIHPITKOW, ZACHARY SAMUEL2015-09-30Dynamic network computations for foraging in an uncertain environmentU01NS0943682017-03-31NIHANGELAKI, DORA2015-04-01Cortical feedback to the vestibular brainstemR21DC014518D009039Physiology15700.889739Motion PerceptionNeurosciencePlastic SurgeryDepartment of NeuroscienceDepartment of PediatricsNeurosciencePediatrics-NeurologyBaylor College of MedicineANDREASTOLIASANDREAS TOLIAS0.000000000000000.000000000000001062TOLIAS, ANDREASProfessorFABRIZIOGABBIANIFABRIZIO GABBIANI29.71073630000000-95.39660450000000157GABBIANI, FABRIZIOProfessorDAOYUNJIDAOYUN JI0.000000000000000.000000000000002191JI, DAOYUNProfessorHUDAZOGHBIHUDA ZOGHBI29.71010310000000-95.397396100000002830ZOGHBI, HUDADistinguished Service ProfessorSAUMILPATELSAUMIL PATEL0.000000000000000.000000000000003768PATEL, SAUMILAssistant ProfessorXIAOLONGJIANGXIAOLONG JIANG0.000000000000000.000000000000004116JIANG, XIAOLONGAssociate Professor31557461Sinz FH, Pitkow X, Reimer J, Bethge M, Tolias ASNeuronEngineering a Less Artificial Intelligence. Neuron. 2019 09 25; 103(6):967-979.Neuron2019-09-25T00:00:002019Engineering a Less Artificial Intelligence.true1Graduate StudentGraduate Student31686023Walker EY, Sinz FH, Cobos E, Muhammad T, Froudarakis E, Fahey PG, Ecker AS, Reimer J, Pitkow X, Tolias ASNature neuroscienceInception loops discover what excites neurons most using deep predictive models. Nat Neurosci. 2019 12; 22(12):2060-2065.Nat Neurosci2019-11-04T00:00:002019Inception loops discover what excites neurons most using deep predictive models.71Postdoc Fellows and AssociatesPostDocJACOBREIMERJACOB REIMER0.000000000000000.000000000000006089REIMER, JACOBAssistant ProfessorXIANGMOUXIANG MOU0.000000000000000.000000000000006170MOU, XIANGAssistant Professor32171388Lakshminarasimhan KJ, Avila E, Neyhart E, DeAngelis GC, Pitkow X, Angelaki DENeuronTracking the Mind's Eye: Primate Gaze Behavior during Virtual Visuomotor Navigation Reflects Belief Dynamics. Neuron. 2020 05 20; 106(4):662-674.e5.Neuron2020-03-13T00:00:002020Tracking the Mind's Eye: Primate Gaze Behavior during Virtual Visuomotor Navigation Reflects Belief Dynamics.true1Assistant ProfessorAssistant Professortrue1Postdoc Fellows and AssociatesPostdoc Fellows and Associatestrue1ProfessorProfessor34785652Yang Q, Walker E, Cotton RJ, Tolias AS, Pitkow XNature communicationsRevealing nonlinear neural decoding by analyzing choices. Nat Commun. 2021 11 16; 12(1):6557.Nat Commun2021-11-16T00:00:002021Revealing nonlinear neural decoding by analyzing choices.35903397Karantzas N, Besier E, Ortega Caro J, Pitkow X, Tolias AS, Patel AB, Anselmi FFrontiers in artificial intelligenceUnderstanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. Front Artif Intell. 2022; 5:890016.Front Artif Intell2022-07-12T00:00:002022Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.36736418Xiao J, Provenza NR, Asfouri J, Myers J, Mathura RK, Metzger B, Adkinson JA, Allawala AB, Pirtle V, Oswalt D, Shofty B, Robinson ME, Mathew SJ, Goodman WK, Pouratian N, Schrater PR, Patel AB, Tolias AS, Bijanki KR, Pitkow X, Sheth SABiological psychiatryDecoding Depression Severity From Intracranial Neural Activity. Biol Psychiatry. 2023 09 15; 94(6):445-453.Biol Psychiatry2023-02-02T00:00:002023Decoding Depression Severity From Intracranial Neural Activity.36747710Schneider-Mizell CM, Bodor AL, Brittain D, Buchanan J, Bumbarger DJ, Elabbady L, Gamlin C, Kapner D, Kinn S, Mahalingam G, Seshamani S, Suckow S, Takeno M, Torres R, Yin W, Dorkenwald S, Bae JA, Castro MA, Halageri A, Jia Z, Jordan C, Kemnitz N, Lee K, Li K, Lu R, Macrina T, Mitchell E, Mondal SS, Mu S, Nehoran B, Popovych S, Silversmith W, Turner NL, Wong W, Wu J, MICrONS Consortium, Reimer J, Tolias AS, Seung HS, Reid RC, Collman F, Ma?arico da Costa NbioRxiv : the preprint server for biologyCell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex. bioRxiv. 2024 Jan 06.bioRxiv2024-01-06T00:00:002024Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex.Authorship 10650462Authorship 10648464Authorship 10648151Authorship 10646255Authorship 10646299Authorship 10648504Authorship 10648104Authorship 10648131Authorship 10646245Authorship 10646211Authorship 10646331Authorship 10650404Authorship 106503935Authorship 10646285Authorship 10648703Authorship 10648071Authorship 10649544Authorship 10648125Authorship 10648054Authorship 10648481Authorship 10648211Authorship 10648201Authorship 10646345Authorship 106503820Authorship 10650341Authorship 10648475Authorship 10649363Authorship 1064636522406548Pitkow X, Meister MNature neuroscienceDecorrelation and efficient coding by retinal ganglion cells. Nat Neurosci. 2012 Mar 11; 15(4):628-35.Nat Neurosci2012-03-11T00:00:002012Decorrelation and efficient coding by retinal ganglion cells.34712038Kwon M, Daptardar S, Schrater P, Pitkow XAdvances in neural information processing systemsInverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. Adv Neural Inf Process Syst. 2020 Dec; 33:7898-7909.Adv Neural Inf Process Syst2020-12-01T00:00:002020Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.33367289Kumar A, Wu Z, Pitkow X, Schrater PCogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). ConferenceBelief dynamics extraction. Cogsci. 2019 Jul; 2019:2058-2064.Cogsci2019-07-01T00:00:002019Belief dynamics extraction.25195105Moreno-Bote R, Beck J, Kanitscheider I, Pitkow X, Latham P, Pouget ANature neuroscienceInformation-limiting correlations. Nat Neurosci. 2014 Oct; 17(10):1410-7.Nat Neurosci2014-09-07T00:00:002014Information-limiting correlations.36339794Kim J, Orhan E, Yoon K, Pitkow XIEEE access : practical innovations, open solutionsTwo-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access. 2022; 10:58071-58080.IEEE Access2022-05-30T00:00:002022Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons.31196941Giahi Saravani A, Forseth KJ, Tandon N, Pitkow XeNeuroDynamic Brain Interactions during Picture Naming. eNeuro. 2019 Jul/Aug; 6(4).eNeuro2019-07-11T00:00:002019Dynamic Brain Interactions during Picture Naming.18162043Pitkow X, Sompolinsky H, Meister MPLoS biologyA neural computation for visual acuity in the presence of eye movements. PLoS Biol. 2007 Dec; 5(12):e331.PLoS Biol2007-12-01T00:00:002007A neural computation for visual acuity in the presence of eye movements.27764660Pitkow XNeuronProbability by Time. Neuron. 2016 Oct 19; 92(2):275-277.Neuron2016-10-19T00:00:002016Probability by Time.36635179Pitkow XTrends in cognitive sciencesAlgorithmic similarity depends continuously on the input distribution, not categorically on how inputs are generated. Trends Cogn Sci. 2023 03; 27(3):214-215.Trends Cogn Sci2023-01-10T00:00:002023Algorithmic similarity depends continuously on the input distribution, not categorically on how inputs are generated.21196508Pitkow XJournal of visionExact feature probabilities in images with occlusion. J Vis. 2010 Dec 31; 10(14).J Vis2010-12-31T00:00:002010Exact feature probabilities in images with occlusion.35641186Alefantis P, Lakshminarasimhan K, Avila E, Noel JP, Pitkow X, Angelaki DEThe Journal of neuroscience : the official journal of the Society for NeuroscienceSensory Evidence Accumulation Using Optic Flow in a Naturalistic Navigation Task. J Neurosci. 2022 07 06; 42(27):5451-5462.J Neurosci2022-05-31T00:00:002022Sensory Evidence Accumulation Using Optic Flow in a Naturalistic Navigation Task.28781497Pitkow X, Ahmadian Y, Miller KDAdvances in neural information processing systemsLearning unbelievable probabilities. Adv Neural Inf Process Syst. 2011 Dec; 24:738-746.Adv Neural Inf Process Syst2011-12-01T00:00:002011Learning unbelievable probabilities.33229521Wu Z, Kwon M, Daptardar S, Schrater P, Pitkow XProceedings of the National Academy of Sciences of the United States of AmericaRational thoughts in neural codes. Proc Natl Acad Sci U S A. 2020 11 24; 117(47):29311-29320.Proc Natl Acad Sci U S A2020-11-24T00:00:002020Rational thoughts in neural codes.22500627Beck JM, Ma WJ, Pitkow X, Latham PE, Pouget ANeuronNot noisy, just wrong: the role of suboptimal inference in behavioral variability. Neuron. 2012 Apr 12; 74(1):30-9.Neuron2012-04-12T00:00:002012Not noisy, just wrong: the role of suboptimal inference in behavioral variability.35179488Stavropoulos A, Lakshminarasimhan KJ, Laurens J, Pitkow X, Angelaki DEeLifeInfluence of sensory modality and control dynamics on human path integration. Elife. 2022 02 18; 11.Elife2022-02-18T00:00:002022Influence of sensory modality and control dynamics on human path integration.Authorship 1067036936972288Li Z, Ortega Caro J, Rusak E, Brendel W, Bethge M, Anselmi F, Patel AB, Tolias AS, Pitkow XPLoS computational biologyRobust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput Biol. 2023 03; 19(3):e1010932.PLoS Comput Biol2023-03-27T00:00:002023Robust deep learning object recognition models rely on low frequency information in natural images.Authorship 106738756Authorship 106748217Authorship 106739355Authorship 106739014Authorship 10673961536993218Ding Z, Tran DT, Ponder K, Cobos E, Ding Z, Fahey PG, Wang E, Muhammad T, Fu J, Cadena SA, Papadopoulos S, Patel S, Franke K, Reimer J, Sinz FH, Ecker AS, Pitkow X, Tolias ASbioRxiv : the preprint server for biologyBipartite invariance in mouse primary visual cortex. bioRxiv. 2023 Mar 16.bioRxiv2023-03-16T00:00:002023Bipartite invariance in mouse primary visual cortex.36993398Ding Z, Fahey PG, Papadopoulos S, Wang EY, Celii B, Papadopoulos C, Kunin AB, Chang A, Fu J, Ding Z, Patel S, Ponder K, Muhammad T, Bae JA, Bodor AL, Brittain D, Buchanan J, Bumbarger DJ, Castro MA, Cobos E, Dorkenwald S, Elabbady L, Halageri A, Jia Z, Jordan C, Kapner D, Kemnitz N, Kinn S, Lee K, Li K, Lu R, Macrina T, Mahalingam G, Mitchell E, Mondal SS, Mu S, Nehoran B, Popovych S, Schneider-Mizell CM, Silversmith W, Takeno M, Torres R, Turner NL, Wong W, Wu J, Yin W, Yu SC, Froudarakis E, Sinz F, Seung HS, Collman F, da Costa NM, Reid RC, Walker EY, Pitkow X, Reimer J, Tolias ASbioRxiv : the preprint server for biologyFunctional connectomics reveals general wiring rule in mouse visual cortex. bioRxiv. 2023 Mar 30.bioRxiv2023-03-30T00:00:002023Functional connectomics reveals general wiring rule in mouse visual cortex.36993321Fu J, Shrinivasan S, Ponder K, Muhammad T, Ding Z, Wang E, Ding Z, Tran DT, Fahey PG, Papadopoulos S, Patel S, Reimer J, Ecker AS, Pitkow X, Haefner RM, Sinz FH, Franke K, Tolias ASbioRxiv : the preprint server for biologyPattern completion and disruption characterize contextual modulation in mouse visual cortex. bioRxiv. 2023 Mar 14.bioRxiv2023-03-14T00:00:002023Pattern completion and disruption characterize contextual modulation in mouse visual cortex.36993282Celii B, Papadopoulos S, Ding Z, Fahey PG, Wang E, Papadopoulos C, Kunin AB, Patel S, Bae JA, Bodor AL, Brittain D, Buchanan J, Bumbarger DJ, Castro MA, Cobos E, Dorkenwald S, Elabbady L, Halageri A, Jia Z, Jordan C, Kapner D, Kemnitz N, Kinn S, Lee K, Li K, Lu R, Macrina T, Mahalingam G, Mitchell E, Mondal SS, Mu S, Nehoran B, Popovych S, Schneider-Mizell CM, Silversmith W, Takeno M, Torres R, Turner NL, Wong W, Wu J, Yu SC, Yin W, Xenes D, Kitchell LM, Rivlin PK, Rose VA, Bishop CA, Wester B, Froudarakis E, Walker EY, Sinz F, Seung HS, Collman F, da Costa NM, Reid RC, Pitkow X, Tolias AS, Reimer JbioRxiv : the preprint server for biologyNEURD: automated proofreading and feature extraction for connectomics. bioRxiv. 2023 Mar 29.bioRxiv2023-03-29T00:00:002023NEURD: automated proofreading and feature extraction for connectomics.36993435Wang EY, Fahey PG, Ponder K, Ding Z, Chang A, Muhammad T, Patel S, Ding Z, Tran D, Fu J, Papadopoulos S, Franke K, Ecker AS, Reimer J, Pitkow X, Sinz FH, Tolias ASbioRxiv : the preprint server for biologyTowards a Foundation Model of the Mouse Visual Cortex. bioRxiv. 2023 Apr 21.bioRxiv2023-04-21T00:00:002023Towards a Foundation Model of the Mouse Visual Cortex.Authorship 1068329337005470Lakshminarasimhan KJ, Avila E, Pitkow X, Angelaki DENature communicationsDynamical latent state computation in the male macaque posterior parietal cortex. Nat Commun. 2023 04 01; 14(1):1832.Nat Commun2023-04-01T00:00:002023Dynamical latent state computation in the male macaque posterior parietal cortex.true1Adjunct Associate ProfessorAdjunct Associate Professor2025-06-30NIHPITKOW, ZACHARY SAMUEL2020-09-30CRCNS: Neural computations for continuous control in virtual reality foragingR01NS120407Principal InvestigatorCo-Principal InvestigatorPrincipal Investigator2028-03-31NIHSHETH, SAMEER ANIL2023-06-01Intracranial Investigation of Neural Circuity Underlying Human MoodR01MH130597Co-Principal Investigatortrue1Adjunct Assistant ProfessorAdjunct Assistant Professortrue1Associate ProfessorAssociate Professortrue1ProfessorProfessortrue1Associate ProfessorAssociate ProfessorPaulFAHEYPaul GERARD FAHEY7723FAHEY, PaulPostdoc Fellows and Associates