World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
83
Citations
24811
World Ranking
1446
National Ranking
723

Research.com Recognitions

  • 2019 - Swartz Prize for Theoretical and Computational Neuroscience
  • 2019 - Mathematical Neuroscience Prize, Israel Brain Technologies (IBT)
  • 2013 - SIAM Fellow For contributions to mathematical neuroscience and mathematical physiology, in particular the dissection of complex fast-slow dynamical systems.

Overview

John Rinzel is affiliated with New York University in the United States. Their research primarily focuses on the fields of Neuroscience and Computer Science, with a significant emphasis in Cognitive Neuroscience and Statistical and Nonlinear Physics as subfields. Their work also extends into Artificial Intelligence and Computer Networks and Communications.

The scientist has contributed to several main topics within neuroscience and related areas, including:

  • Neural dynamics and brain function
  • Neuroscience and Music Perception
  • Stochastic dynamics and bifurcation
  • Nonlinear Dynamics and Pattern Formation
  • Neural Networks and Applications
  • Music and Audio Processing
  • Neuroscience and Neuropharmacology Research

Rinzel's publication record includes articles in various scientific venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Scientific Reports
  • Biological Cybernetics
  • Frontiers in Computational Neuroscience

Recent papers by Rinzel highlight a range of topics from auditory perception to neural network dynamics. These include:

  • Dynamic models for musical rhythm perception and coordination, 2023, Frontiers in Computational Neuroscience
  • Classification of bursting patterns: A tale of two ducks, 2022, PLoS Computational Biology
  • Action-driven remapping of hippocampal neuronal populations in jumping rats, 2022, Proceedings of the National Academy of Sciences
  • Buildup and bistability in auditory streaming as an evidence accumulation process with saturation, 2020, PLoS Computational Biology
  • Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation, 2021, Neural Computation

The scientist has collaborated frequently with several researchers, such as:

  • Amitabha Bose
  • Klavdia Zemlianova
  • György Buzsáki
  • James Rankin
  • Mathieu Desroches

John Rinzel has received notable awards in the field of neuroscience, including the Mathematical Neuroscience Prize from Israel Brain Technologies in 2019, the Swartz Prize for Theoretical and Computational Neuroscience also in 2019, and was named a SIAM Fellow in 2013 for contributions to mathematical neuroscience and physiological modeling, particularly regarding complex fast-slow dynamical systems.

Best Publications

  • Analysis of neural excitability and oscillations

    John Rinzel;G. Bard Ermentrout

  • Equations for InsP3 receptor-mediated [Ca2+](i) oscillations derived from a detailed kinetic model: A Hodgkin-Huxley like formalism

    Yue-Xian Li;John Rinzel

  • Alternating and synchronous rhythms in reciprocally inhibitory model neurons

    Xiao-Jing Wang;John Rinzel

  • Intrinsic and network rhythmogenesis in a reduced traub model for CA3 neurons

    Paul F. Pinsky;John Rinzel's

  • Models of Respiratory Rhythm Generation in the Pre-Bötzinger Complex. I. Bursting Pacemaker Neurons

    Robert J. Butera;John Rinzel;John Rinzel;Jeffrey C. Smith

  • A Formal Classification of Bursting Mechanisms in Excitable Systems

    John Rinzel

  • Traveling Wave Solutions of a Nerve Conduction Equation

    John Rinzel;Joseph B. Keller

  • Branch Input Resistance and Steady Attenuation for Input to One Branch of a Dendritic Neuron Model

    Wilfrid Rall;John Rinzel

  • The role of dendrites in auditory coincidence detection

    Hagai Agmon-Snir;Catherine E. Carr;John Rinzel;John Rinzel

  • Noise-Induced Alternations in an Attractor Network Model of Perceptual Bistability

    Rubén Moreno-Bote;John Rinzel;Nava Rubin

  • Bursting oscillations in an excitable membrane model

    John Rinzel

  • Models of Respiratory Rhythm Generation in the Pre-Bötzinger Complex. II. Populations of Coupled Pacemaker Neurons

    Robert J. Butera;John Rinzel;John Rinzel;Jeffrey C. Smith

  • The slow passage through a Hopf bifurcation: delay, memory effects, and resonance

    S. M. Baer;T. Erneux;J. Rinzel

  • INTEGRATE-AND-FIRE MODELS OF NERVE MEMBRANE RESPONSE TO OSCILLATORY INPUT.

    J. P. Keener;F. C. Hoppensteadt;J. Rinzel

  • Emergence of organized bursting in clusters of pancreatic beta-cells by channel sharing.

    A. Sherman;J. Rinzel;J. Keizer

  • Dissection of a model for neuronal parabolic bursting.

    John Rinzel;Young Seek Lee

  • Spindle rhythmicity in the reticularis thalami nucleus: synchronization among mutually inhibitory neurons.

    X.-J. Wang;J. Rinzel

  • Rhythmogenic effects of weak electrotonic coupling in neuronal models.

    Arthur Sherman;John Rinzel

  • Transient Response in a Dendritic Neuron Model for Current Injected at One Branch

    John Rinzel;Wilfrid Rall

  • Intrinsic and network rhythmogenesis in a reduced traub model for CA3 neurons

    Unknown

  • Dynamics of spiking neurons connected by both inhibitory and electrical coupling.

    Timothy J. Lewis;John Rinzel

  • Bursting, beating, and chaos in an excitable membrane model

    T.R. Chay;J. Rinzel

  • Excitation dynamics: Insights from simplified membrane models

    Rinzel J

Frequent Co-Authors

Xiao-Jing Wang
Xiao-Jing Wang New York University
David Golomb
David Golomb Ben-Gurion University of the Negev
Jeffrey C. Smith
Jeffrey C. Smith National Institutes of Health
Michael J. O'Donovan
Michael J. O'Donovan National Institutes of Health
Dan H. Sanes
Dan H. Sanes New York University
Idan Segev
Idan Segev Hebrew University of Jerusalem
György Buzsáki
György Buzsáki New York University
Charles L. Cox
Charles L. Cox Michigan State University
André A. Fenton
André A. Fenton New York University
S. Murray Sherman
S. Murray Sherman University of Chicago

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing John Rinzel

Trending Scientists