Faculty

Institution

Unit

Venue

David Cai

Professor of Mathematics and Neural Science

New York University

Affiliations

Arts & Science

Graduate School of Arts & Science

Mathematics

Courant Institute of Mathematical Sciences

Mathematics

David Cai is currently serving as an Arts & Science Professor of Mathematics and Neural Science at New York 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

David Cai

New York University

Professor of Mathematics and Neural Science

You can click a keyword to filter the displayed items

neuroscience physics computational neuroscience systems neuroscience applied physics applied mathematics cognitive neuroscience nonlinear dynamics fluid dynamics condensed matter physics neuronal networks nonlinear science neurodynamics particle physics nonlinear phenomena brain modeling neurophysiology neural computation chaos theory nonlinear wave propagation theoretical biology nonlinear analysis brain circuitry compressive sensing wave theory neuronal network dynamics visual science condensed matter image representation statistical mechanics network theory network dynamics primary visual cortex entropy vision research wave motion neural science wave propagation signal reconstruction kinetic theory thermal equilibrium wave turbulence plo biology numerical simulations statistical physics biomedical imaging computational imaging bio-inspired computation predictability quantum dynamics neural mechanisms causal models neuroinformatics turbulence modeling dispersion plasma science causality biological transport networks visual cortex dispersive wave turbulence pulse-coupled nonlinear networks spatiotemporal chaos locust antennal lobe pyramidal cells oscillation theory spatial cognition ion implantation computational biophysics large-scale simulations mathematical statistical physic statistical field theories hemostasis brain vasculature fluctuation-driven neuronal networks relative entropy mathematical framework wave nonlinearity stochastic process

Notable Scholarly Works

Notable Federal Grants

Collaborators

Improved Effective Linearization of Nonlinear SchröDinger Waves by Increasing Nonlinearity. Physical Review Research (2022)

Katelyn Plaisier LeismanDouglas ZhouJ. W. BanksGregor KovačičDavid Cai

physicswave nonlinearitynonlinear wave propagationnonlinear systemsdynamical systemsnonlinear phenomenanonlinear sciencewave theorymathematical physicsnonlinear analysiseffective linearizationcoupling decayswave mechanicsapplied physicsnonlinear schrödinger wavesnonlinear dynamics

Network Mechanism for Insect Olfaction. Cognitive Neurodynamics (2021)

Pamela B. PyzzaKatherine A. NewhallGregor KovačičDouglas ZhouDavid Cai

insect social behaviorbiologynetwork mechanismnetwork sciencebiosystemsinsect molecular biologyinsect science

A Computational Investigation of Electrotonic Coupling Between Pyramidal Cells in the Cortex. Journal of Computational Neuroscience (2020)

Jennifer CrodelleDouglas ZhouGregor KovačičDavid Cai

biophysicsbio-inspired computationcomputational investigationneural circuitscomputational neurosciencebrain circuitrypyramidal cellssystems neuroscienceneurodynamicsbrain modelingneuronal networkstheoretical biologyneuroscienceneurons

Neural Networks of Different Species, Brain Areas and States Can Be Characterized by the Probability Polling State. European Journal of Neuroscience (2020)

Zhi‐Qin John XuXiaowei GuChengyu LiDavid CaiDouglas ZhouDavid W. McLaughlin

cognitive neurosciencedifferent speciesneural networksbrain areasprobability polling stateneuroscience

The Extended Granger Causality Analysis for Hodgkin–Huxley Neuronal Models. Chaos An Interdisciplinary Journal of Nonlinear Science (2020)

Hong ChengDavid CaiDouglas Zhou

cognitive neurosciencecausalitycomputational neurosciencechaos theoryhodgkin-huxley neuronal modelsneuroscience

A Cautionary Tale of Entropic Criteria in Assessing the Validity of the Maximum Entropy Principle. EPL (Europhysics Letters) (2019)

Zhi-Qin John XuFang XuGuoqiang BiDouglas ZhouDavid Cai

physicsmaximum entropy principleentropic criteriaprobability theory

An Optimization Principle for Initiation and Adaptation of Biological Transport Networks. Communications in Mathematical Sciences (2019)

Dan HuDavid Cai

biological transport networkscommunicationmathematical biologyoptimization principle

A Role for Electrotonic Coupling Between Cortical Pyramidal Cells. Frontiers in Computational Neuroscience (2019)

Jennifer CrodelleDouglas ZhouGregor KovačičDavid Cai

neural circuitssystems biologycomputational neurosciencebrain circuitryconnectomicselectrical couplingneural computationsystems neuroscienceneurodynamicspyramidal cellsneuronal networksnetwork modelsneuroscienceneurophysiologyneuronsdevelopmental cognitive neuroscience

Balanced Active Core in Heterogeneous Neuronal Networks. Frontiers in Computational Neuroscience (2019)

Qing-long L. GuSongting LiWei P. DaiDouglas ZhouDavid Cai

active corecomputational neurosciencesystems neuroscienceheterogeneous neuronal networksneuroscience

Dendritic Computations Captured by an Effective Point Neuron Model. Proceedings of the National Academy of Sciences (2019)

Songting LiNan LiuXiaohui ZhangDavid W. McLaughlinDouglas ZhouDavid Cai

cognitive neurosciencecomputational neurosciencedendritic computationssystems neuroscienceneuroscience

1
2
3
4
5
12
10 / page

David Cai

Professor of Mathematics and Neural Science

New York University

Affiliations

Arts & Science

Graduate School of Arts & Science

Mathematics

Courant Institute of Mathematical Sciences

Mathematics

David Cai is currently serving as an Arts & Science Professor of Mathematics and Neural Science at New York 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

David Cai

New York University

Professor of Mathematics and Neural Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Improved Effective Linearization of Nonlinear SchröDinger Waves by Increasing Nonlinearity. Physical Review Research (2022)

Katelyn Plaisier LeismanDouglas ZhouJ. W. BanksGregor KovačičDavid Cai

Network Mechanism for Insect Olfaction. Cognitive Neurodynamics (2021)

Pamela B. PyzzaKatherine A. NewhallGregor KovačičDouglas ZhouDavid Cai

insect social behaviorbiologynetwork mechanismnetwork sciencebiosystemsinsect molecular biologyinsect science

A Computational Investigation of Electrotonic Coupling Between Pyramidal Cells in the Cortex. Journal of Computational Neuroscience (2020)

Jennifer CrodelleDouglas ZhouGregor KovačičDavid Cai

Neural Networks of Different Species, Brain Areas and States Can Be Characterized by the Probability Polling State. European Journal of Neuroscience (2020)

Zhi‐Qin John XuXiaowei GuChengyu LiDavid CaiDouglas ZhouDavid W. McLaughlin

cognitive neurosciencedifferent speciesneural networksbrain areasprobability polling stateneuroscience

The Extended Granger Causality Analysis for Hodgkin–Huxley Neuronal Models. Chaos An Interdisciplinary Journal of Nonlinear Science (2020)

Hong ChengDavid CaiDouglas Zhou

cognitive neurosciencecausalitycomputational neurosciencechaos theoryhodgkin-huxley neuronal modelsneuroscience

A Cautionary Tale of Entropic Criteria in Assessing the Validity of the Maximum Entropy Principle. EPL (Europhysics Letters) (2019)

Zhi-Qin John XuFang XuGuoqiang BiDouglas ZhouDavid Cai

physicsmaximum entropy principleentropic criteriaprobability theory

An Optimization Principle for Initiation and Adaptation of Biological Transport Networks. Communications in Mathematical Sciences (2019)

Dan HuDavid Cai

biological transport networkscommunicationmathematical biologyoptimization principle

A Role for Electrotonic Coupling Between Cortical Pyramidal Cells. Frontiers in Computational Neuroscience (2019)

Jennifer CrodelleDouglas ZhouGregor KovačičDavid Cai

Balanced Active Core in Heterogeneous Neuronal Networks. Frontiers in Computational Neuroscience (2019)

Qing-long L. GuSongting LiWei P. DaiDouglas ZhouDavid Cai

active corecomputational neurosciencesystems neuroscienceheterogeneous neuronal networksneuroscience

Dendritic Computations Captured by an Effective Point Neuron Model. Proceedings of the National Academy of Sciences (2019)

Songting LiNan LiuXiaohui ZhangDavid W. McLaughlinDouglas ZhouDavid Cai

cognitive neurosciencecomputational neurosciencedendritic computationssystems neuroscienceneuroscience

1
2
3
4
5
12
10 / page

Similar Faculty Members

Lai-Sang Young

Institution

New York University

dynamical systems

fractal

Hermann Riecke

Institution

Northwestern University

pattern formation

neural circuit

Aaditya Rangan

Institution

New York University

snp data

biosystems

David W. McLaughlin

Institution

New York University

visual system

computational intelligence

Jonathan Touboul

Institution

Brandeis University

general system

mathematical model

Gregor Kovacic

Institution

Rensselaer Polytechnic Institute

nonlinear resonance

nonlinear resonant optics

Kevin Lin

Institution

University of Arizona

theoretical biology

mathematical biology

Michael J. Shelley

Institution

New York University

active fluid

active matter

Paul Bressloff

Institution

University of Utah

neuroscience

applied mathematics

Henry Abarbanel

Institution

University of California, San Diego

neuroscience

physics

Similar Faculty Members

Lai-Sang Young

Institution

New York University

dynamical systems

fractal

Hermann Riecke

Institution

Northwestern University

pattern formation

neural circuit

Aaditya Rangan

Institution

New York University

snp data

biosystems

David W. McLaughlin

Institution

New York University

visual system

computational intelligence

Jonathan Touboul

Institution

Brandeis University

general system

mathematical model

Gregor Kovacic

Institution

Rensselaer Polytechnic Institute

nonlinear resonance

nonlinear resonant optics

Kevin Lin

Institution

University of Arizona

theoretical biology

mathematical biology

Michael J. Shelley

Institution

New York University

active fluid

active matter

Paul Bressloff

Institution

University of Utah

neuroscience

applied mathematics

Henry Abarbanel

Institution

University of California, San Diego

neuroscience

physics