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Neuroscience

D-Index
50
Citations
15681
World Ranking
5640
National Ranking
2500

Overview

Kenneth D. Miller is affiliated with Columbia University in the United States. Their research primarily focuses on Neuroscience, with a significant body of work in Cognitive Neuroscience and Cellular and Molecular Neuroscience. Additional research interests include Artificial Intelligence, Biophysics, and Statistical and Nonlinear Physics.

The scientist has contributed extensively to the understanding of neural dynamics and brain function, visual perception and processing mechanisms, photoreceptor and optogenetics research, neuroscience and neuropharmacology research, neuroscience and neural engineering, functional brain connectivity studies, and neurobiology and insect physiology research.

Notable recent papers include:

  • A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex, 2020, Neuron
  • A human-specific modifier of cortical connectivity and circuit function, 2021, Nature
  • A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Interrogating theoretical models of neural computation with emergent property inference, 2021, eLife
  • Common rules underlying optogenetic and behavioral modulation of responses in multi-cell-type V1 circuits, 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in Miller's publications include:

  • Agostina Palmigiano
  • Mario Dipoppa
  • Andreas Keller
  • Morgane Roth
  • Massimo Scanziani

Miller has published multiple papers in key venues, such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuron
  • Nature
  • Nature Neuroscience
  • eLife

Research topics addressed by Miller reflect an integration of experimental and theoretical approaches to neural circuits and brain function, with a concentration on visual cortex studies and the modulation of neural responses through optogenetics.

Best Publications

  • Competitive Hebbian learning through spike-timing-dependent synaptic plasticity

    Sen Song;Kenneth D. Miller;L. F. Abbott

  • A deep learning framework for neuroscience

    Blake A Richards;Timothy P Lillicrap;Philippe Beaudoin;Yoshua Bengio;Yoshua Bengio

  • Ocular dominance column development: analysis and simulation

    Kenneth D. Miller;Joseph B. Keller;Michael P. Stryker

  • Neural Mechanisms of Orientation Selectivity in the Visual Cortex

    David Ferster;Kenneth D. Miller

  • The role of constraints in Hebbian learning

    Kenneth D. Miller;David J. C. MacKay

  • Inhibitory stabilization of the cortical network underlies visual surround suppression

    Hirofumi Ozeki;Ian M. Finn;Evan S. Schaffer;Kenneth D. Miller

  • Contrast-Invariant Orientation Tuning in Cat Visual Cortex: Thalamocortical Input Tuning and Correlation-Based Intracortical Connectivity

    Todd W. Troyer;Anton E. Krukowski;Nicholas J. Priebe;Kenneth D. Miller

  • A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs

    KD Miller

  • Balanced Amplification: A New Mechanism of Selective Amplification of Neural Activity Patterns

    Brendan K. Murphy;Kenneth D. Miller

  • Adaptive filtering enhances information transmission in visual cortex

    Tatyana O. Sharpee;Hiroki Sugihara;Andrei V. Kurgansky;Sergei P. Rebrik

  • Synaptic economics: competition and cooperation in synaptic plasticity.

    Kenneth D. Miller

  • Parallel processing by cortical inhibition enables context-dependent behavior

    Kishore V Kuchibhotla;Jonathan V Gill;Jonathan V Gill;Grace W Lindsay;Eleni S Papadoyannis;Eleni S Papadoyannis

  • The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex.

    Daniel B. Rubin;Stephen D. Van Hooser;Kenneth D. Miller

  • Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell

    Todd W. Troyer;Kenneth D. Miller

  • Neural noise can explain expansive, power-law nonlinearities in neural response functions.

    Kenneth D. Miller;Todd W. Troyer

  • Visual responses in adult cat visual cortex depend on N-methyl-D-aspartate receptors

    K D Miller;B Chapman;M P Stryker

  • Acoustic variability and distinguishability among mouse ultrasound vocalizations

    Robert C. Liu;Kenneth D. Miller;Michael M. Merzenich;Christoph E. Schreiner

  • Processing in layer 4 of the neocortical circuit: new insights from visual and somatosensory cortex.

    Kenneth D Miller;David J Pinto;Daniel J Simons

  • The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability

    Guillaume Hennequin;Yashar Ahmadian;Daniel B. Rubin;Máté Lengyel

  • A Theory of the Transition to Critical Period Plasticity: Inhibition Selectively Suppresses Spontaneous Activity

    Taro Toyoizumi;Taro Toyoizumi;Taro Toyoizumi;Hiroyuki Miyamoto;Yoko Yazaki-Sugiyama;Nafiseh Atapour

  • One-Dimensional Dynamics of Attention and Decision Making in LIP

    Surya Ganguli;James W. Bisley;Jamie D. Roitman;Michael N. Shadlen

Frequent Co-Authors

Michael P. Stryker
Michael P. Stryker University of California, San Francisco
David Ferster
David Ferster Northwestern University
Hillel Adesnik
Hillel Adesnik University of California, Berkeley
Christopher C. Pack
Christopher C. Pack McGill University
Nicholas J. Priebe
Nicholas J. Priebe The University of Texas at Austin
Takao K. Hensch
Takao K. Hensch Harvard University
Massimo Scanziani
Massimo Scanziani University of California, San Francisco
Konrad P. Kording
Konrad P. Kording University of Pennsylvania
Robert C. Froemke
Robert C. Froemke New York University
Christopher N. Bowman
Christopher N. Bowman University of Colorado Boulder

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