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Paul S. Katz

Paul S. Katz

· Professor, Department Chair, and Director of the Initiative on Neurosciences

University of Massachusetts Amherst · Biology

Active 1961–2026

h-index37
Citations4.4k
Papers16026 last 5y
Funding$13.8M3 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Paul S. Katz is a professor involved in neuroscience research at UMass Amherst, with a focus on understanding neural circuits and behavior. His lab, Katz Lab, explores various aspects of neurobiology, including connectomics, neurogenesis, transcriptomics, and the neural basis of behavior in different organisms such as Berghia and other model systems. His work emphasizes collaborative discovery, teaching, and learning within a team environment, contributing to the broader scientific understanding of neural function and organization.

Research topics

  • Biology
  • Artificial Intelligence
  • Neuroscience
  • Computer Science
  • Biophysics
  • Pathology
  • Medicine
  • Chemistry
  • Physics
  • Optics

Selected publications

  • Behavior-related gene regulatory networks: A new level of organization in the brain

    Proceedings of the National Academy of Sciences · 2020 · 86 citations

    -regulatory architecture underlies this special class of behavior, and review literature that suggests an affirmative answer.

  • Evolution of cephalopod nervous systems

    Current Biology · 2023-10-01 · 15 citations

    reviewOpen accessSenior authorCorresponding

    Giant brains have independently evolved twice on this planet, in vertebrates and in cephalopods (Figure 1A). Thus, the brains and nervous systems of cephalopods provide an important counterpoint to vertebrates in the search for generalities of brain organization and function. Their mere existence disproves various hypotheses proposed to explain the evolution of the mind and the human brain, such as cognition and large brains evolved only in long-lived animals with complex social systems and pare…

  • mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops

    Frontiers in Neural Circuits · 2023-06-15 · 14 citations

    articleOpen access

    Connectomics is fundamental in propelling our understanding of the nervous system's organization, unearthing cells and wiring diagrams reconstructed from volume electron microscopy (EM) datasets. Such reconstructions, on the one hand, have benefited from ever more precise automatic segmentation methods, which leverage sophisticated deep learning architectures and advanced machine learning algorithms. On the other hand, the field of neuroscience at large, and of image processing in particular, ha…

  • A chromosome-level genome for the nudibranch gastropod Berghia stephanieae helps parse clade-specific gene expression in novel and conserved phenotypes

    BMC Biology · 2024-01-17 · 12 citations

    articleOpen access

    BACKGROUND: How novel phenotypes originate from conserved genes, processes, and tissues remains a major question in biology. Research that sets out to answer this question often focuses on the conserved genes and processes involved, an approach that explicitly excludes the impact of genetic elements that may be classified as clade-specific, even though many of these genes are known to be important for many novel, or clade-restricted, phenotypes. This is especially true for understudied phyla suc…

  • The Consistency of Gastropod Identified Neurons Distinguishes Intra-Individual Plasticity From Inter-Individual Variability in Neural Circuits

    Frontiers in Behavioral Neuroscience · 2022 · 11 citations

    Senior authorCorresponding

    , variability over time in the modulatory actions of serotonin and in expression of serotonin receptor genes in an identified neuron directly reflects variation in swimming behavior. Tracking behavior and electrophysiology over hours to days was necessary to identify the functional consequences of these intra-individual, time-dependent variations. This work demonstrates the importance of unambiguous neuron identification, properly assessing the animal and network states, and tracking behavior an…

Recent grants

Frequent coauthors

  • Akira Sakurai

    Georgia State University

    27 shared
  • Sweden Jessen

    Malmö University

    25 shared
  • M. Desmond Ramirez

    University of Massachusetts Amherst

    13 shared
  • Robert Calin‐Jageman

    11 shared
  • James M. Newcomb

    10 shared
  • Arianna N. Tamvacakis

    University of Arkansas at Fayetteville

    9 shared
  • William N. Frost

    Rosalind Franklin University of Medicine and Science

    9 shared
  • Adriano Senatore

    University of Toronto

    8 shared

Labs

  • Paul S. Katz's LabPI

    The lab focuses on the structure, function, development, and evolution of nervous systems.

Education

  • PhD, Neurobiology and Behavior

    Cornell University

    1989

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