Faculty

Institution

Unit

Venue

Maurice Smith

Gordon McKay Professor of Bioengineering

Harvard University

Affiliations

Harvard John A. Paulson School of Engineering and Applied Sciences

Applied Mathematics

Bioengineering

Electrical Engineering

Materials Science & Mechanical Engineering

Harvard Faculty of Arts and Sciences

Center for Brain Science

Maurice Smith is currently serving as an Applied Mathematics Gordon McKay Professor of Bioengineering at Harvard University.

Honors

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Experiences

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Education

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Maurice Smith

Harvard University

Gordon McKay Professor of Bioengineering

You can click a keyword to filter the displayed items

neuroscience motor control cognitive neuroscience neurophysiology physiology cognitive science computational neuroscience machine learning motor adaptation neurology computational biology neurodynamics adaptation huntington's disease memory plo biology bayesian analysis adaptive control brain science cerebrovascular disease motor variability arm dynamics internal models motor learning learned dynamics motor memories neurorehabilitation neuroradiology respiratory medicine mathematical optimization managing variability motor disorders feedforward control orthopedic biomechanics bayesian inference explicit memory learning control implicit memory motor behavior neural science error correction exploration v exploitation neuroprotection embodied cognition primate behavior neural mechanisms sensorimotor transformations sensory prediction adaptive processes temporal structure cerebellar degeneration intact ability error feedback control feedback control long-term retention short-term learning human behavior action (philosophy) theory building symbolic interaction dance research behavioral sciences

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Prospective Study of a Rapid Adaptive Version of the Boston Naming Test for Alzheimer’s Disease. Alzheimer s & Dementia (2024)

Julia H. ChoSiva MuthupalaniappanThomas A. GiauqueMaurice SmithDaniel Z. Press

alzheimer's diseasecognitive impairmentneuroscienceprospective studydementianeurodegenerative diseases

Pediatric Contributions and Lessons Learned From the Neptune Cohort Study. Pediatric Nephrology (2024)

Zubin J. ModiYan ZhaiJennifer YeeHailey DesmondWei HaoMatthew G. SampsonChristine B. SethnaChia-shi WangDebbie S. GipsonHoward TrachtmanMatthias KretzlerSusan MassengillLayla LoKatherine DellJohn O’TooleJohn SedorBlair MartinIan MacumberSilpa SharmaTarak SrivastavaKelsey MarkusSuzanne VentoPietro CanettaOpeyemi OlabisiRasheed GbadegesinMaurice SmithLaurence GreenbaumEmily YunSharon AdlerJanine LaPageAmatur AmarahMathew ItteeraMeredith AtkinsonMiahje WilliamsJohn LieskeMarie HoganFernando FervenzaDavid SelewskiCheryl AlstonKim ReidyMichael RossFrederick KaskelPatricia FlynnLaura Malaga-DieguezOlga ZhdanovaLaura Jane PehrsonMelanie MirandaSalem AlmaaniLaci RobertsRichard LafayetteShiktij DaveIris LeeShweta ShahSadaf BatlaHeather ReichMichelle HladunewichPaul LingMartin RomanoPaul BrakemanJames DylewskiNathan RogersEllen McCarthyCatherine CreedAlessia FornoniMiguel BandesLaura MarianiA. WilliamsRoxy NiPatrick NachmanMichelle RheaultAmy KowalskiNicolas RauwolfVimal DerebailKeisha GibsonAnne FromentSara KelleyLawrence HolzmanKevin MeyersKrishna KallemAliya EdwardsSamin SharmaElizabeth RoehmKamalanathan SambandamElizabeth BrownJamie HellewegeAshley JeffersonSangeeta HingoraniKatherine TuttleLinda ManahanEmily PaoKelli KuykendallJen Jar LinVikas DharnidharkaBrenda GillespieEloise SalmonTina MainieriGabrielle AlterMichael ArbitSean EddyDamian Fermin

nephrologyneptune cohort studypediatrics

Shifts in Neural Tuning Systematically Alter Sensorimotor Learning Ability. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Takuji HayashiKen TakiyamaMaurice A. SmithDaichi Nozaki

sensorimotor transformationsneural circuitsneurosciencecognitive scienceneural computationneural mechanismssensorimotor learning abilitysystems neurosciencecognitive neuroscience

Subtle Visual Latency Can Profoundly Impair Implicit Sensorimotor Learning. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Alkis M. HadjiosifGeorge AbrahamTanvi RanjanMaurice A. Smith

implicit sensorimotor learningembodied cognitionneurosciencecognitive sciencecognitive neurosciencesubtle visual latency

The Cerebellum Acts as the Analog to the Medial Temporal Lobe for Sensorimotor Memory. Proceedings of the National Academy of Sciences (2024)

Alkis M. HadjiosifTricia L. GiboMaurice A. Smith

medial temporal lobecognitive neurosciencesensorimotor memoryneuroscience

A Double Dissociation Between Savings and Long-Term Memory in Motor Learning. PLoS Biology (2023)

Alkis M. HadjiosifJ. Ryan MoreheadMaurice A. Smith

motor learninglong-term memoryneurosciencedouble dissociationcomputational neuroscience

Cerebellar Damage Impairs Long-Term but Not Short-Term Sensorimotor Memory. bioRxiv (Cold Spring Harbor Laboratory) (2023)

Alkis M. HadjiosifTricia L. GiboMaurice A. Smith

neurologycerebellar damageneurosciencecerebrovascular diseaseneuroprotectionmotor controlphysiology

Developing a Brief, Accurate and Adaptive Version of the Boston Naming Test Based on High‐Fidelity Estimates of Item Properties. Alzheimer s & Dementia (2023)

Thomas A. GiauqueLynn ShaughnessyGeorge LinMaurice SmithDaniel Z. Press

adaptive versionalzheimer's diseaseneurosciencehigh-fidelity estimatesitem propertiesdementia

Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task. Bayesian Analysis (2022)

Nathan SandholtzYohsuke MiyamotoLuke BornnMaurice A. Smith

computer scienceexploration v exploitationmachine learningbayesian analysisinverse bayesian optimizationmathematical optimization

Longitudinal Symptom Changes and Association With Home Time in People With Schizophrenia: An Observational Digital Phenotyping Study. Schizophrenia Research (2022)

Tanvi RanjanJennifer MelcherMatcheri KeshavanMaurice SmithJohn Torous

longitudinal symptom changeshome timepsychiatryschizophrenia

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Maurice Smith

Gordon McKay Professor of Bioengineering

Harvard University

Affiliations

Harvard John A. Paulson School of Engineering and Applied Sciences

Applied Mathematics

Bioengineering

Electrical Engineering

Materials Science & Mechanical Engineering

Harvard Faculty of Arts and Sciences

Center for Brain Science

Maurice Smith is currently serving as an Applied Mathematics Gordon McKay Professor of Bioengineering at Harvard University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Maurice Smith

Harvard University

Gordon McKay Professor of Bioengineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Prospective Study of a Rapid Adaptive Version of the Boston Naming Test for Alzheimer’s Disease. Alzheimer s & Dementia (2024)

Julia H. ChoSiva MuthupalaniappanThomas A. GiauqueMaurice SmithDaniel Z. Press

alzheimer's diseasecognitive impairmentneuroscienceprospective studydementianeurodegenerative diseases

Pediatric Contributions and Lessons Learned From the Neptune Cohort Study. Pediatric Nephrology (2024)

nephrologyneptune cohort studypediatrics

Shifts in Neural Tuning Systematically Alter Sensorimotor Learning Ability. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Takuji HayashiKen TakiyamaMaurice A. SmithDaichi Nozaki

sensorimotor transformationsneural circuitsneurosciencecognitive scienceneural computationneural mechanismssensorimotor learning abilitysystems neurosciencecognitive neuroscience

Subtle Visual Latency Can Profoundly Impair Implicit Sensorimotor Learning. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Alkis M. HadjiosifGeorge AbrahamTanvi RanjanMaurice A. Smith

implicit sensorimotor learningembodied cognitionneurosciencecognitive sciencecognitive neurosciencesubtle visual latency

The Cerebellum Acts as the Analog to the Medial Temporal Lobe for Sensorimotor Memory. Proceedings of the National Academy of Sciences (2024)

Alkis M. HadjiosifTricia L. GiboMaurice A. Smith

medial temporal lobecognitive neurosciencesensorimotor memoryneuroscience

A Double Dissociation Between Savings and Long-Term Memory in Motor Learning. PLoS Biology (2023)

Alkis M. HadjiosifJ. Ryan MoreheadMaurice A. Smith

motor learninglong-term memoryneurosciencedouble dissociationcomputational neuroscience

Cerebellar Damage Impairs Long-Term but Not Short-Term Sensorimotor Memory. bioRxiv (Cold Spring Harbor Laboratory) (2023)

Alkis M. HadjiosifTricia L. GiboMaurice A. Smith

neurologycerebellar damageneurosciencecerebrovascular diseaseneuroprotectionmotor controlphysiology

Developing a Brief, Accurate and Adaptive Version of the Boston Naming Test Based on High‐Fidelity Estimates of Item Properties. Alzheimer s & Dementia (2023)

Thomas A. GiauqueLynn ShaughnessyGeorge LinMaurice SmithDaniel Z. Press

adaptive versionalzheimer's diseaseneurosciencehigh-fidelity estimatesitem propertiesdementia

Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task. Bayesian Analysis (2022)

Nathan SandholtzYohsuke MiyamotoLuke BornnMaurice A. Smith

computer scienceexploration v exploitationmachine learningbayesian analysisinverse bayesian optimizationmathematical optimization

Longitudinal Symptom Changes and Association With Home Time in People With Schizophrenia: An Observational Digital Phenotyping Study. Schizophrenia Research (2022)

Tanvi RanjanJennifer MelcherMatcheri KeshavanMaurice SmithJohn Torous

longitudinal symptom changeshome timepsychiatryschizophrenia

1
2
3
4
5
10 / page

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Northeastern University

motor skill

balance

Sridevi Sarma

Institution

Johns Hopkins University

neuroscience

neurology

Bruce Carlson

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Washington University in St. Louis

neural mechanism

nervous system

Gabriel Kreiman

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visual recognition

visual science

Daniel Bullock

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behavioral sciences

action planning

Emilio Bizzi

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motor skill

rehabilitation

Konrad Kording

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University of Pennsylvania

causality

causal reasoning

Jose Contreras-Vidal

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basic science departments

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