Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Benjamin D Pedigo"'
Autor:
Benjamin D Pedigo, Mike Powell, Eric W Bridgeford, Michael Winding, Carey E Priebe, Joshua T Vogelstein
Publikováno v:
eLife, Vol 12 (2023)
Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance and nature of differences between two networks is an op
Externí odkaz:
https://doaj.org/article/cbf2a17f659b482fb9dd712226e51cad
Autor:
Michael Winding, Benjamin D. Pedigo, Christopher L. Barnes, Heather G. Patsolic, Youngser Park, Tom Kazimiers, Akira Fushiki, Ingrid V. Andrade, Avinash Khandelwal, Javier Valdes-Aleman, Feng Li, Nadine Randel, Elizabeth Barsotti, Ana Correia, Richard D. Fetter, Volker Hartenstein, Carey E. Priebe, Joshua T. Vogelstein, Albert Cardona, Marta Zlatic
Publikováno v:
Science. 379
Brains contain networks of interconnected neurons, so knowing the network architecture is essential for understanding brain function. We therefore mapped the synaptic-resolution connectome of an insect brain (Drosophilalarva) with rich behavior, incl
Autor:
Benjamin D Pedigo, Mike Powell, Eric W Bridgeford, Michael Winding, Carey E Priebe, Joshua T Vogelstein
Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance and nature of differences between two networks is an op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9b94e76394224c6e79777cedb58a942
https://doi.org/10.1101/2022.11.28.518219
https://doi.org/10.1101/2022.11.28.518219
Autor:
Jaewon Chung, Eric Bridgeford, Jesús Arroyo, Benjamin D. Pedigo, Ali Saad-Eldin, Vivek Gopalakrishnan, Liang Xiang, Carey E. Priebe, Joshua T. Vogelstein
Publikováno v:
Annual Review of Statistics and Its Application. 8:463-492
The data science of networks is a rapidly developing field with myriad applications. In neuroscience, the brain is commonly modeled as a connectome, a network of nodes connected by edges. While there have been thousands of papers on connectomics, the
Graph matching algorithms attempt to find the best correspondence between the nodes of two networks. These techniques have been used to match individual neurons in nanoscale connectomes—in particular, to find pairings of neurons across hemispheres.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5269d08ef5cf8e5bc280c368e91e7d8c
https://doi.org/10.1101/2022.05.19.492713
https://doi.org/10.1101/2022.05.19.492713
Autor:
Justus M. Kebschull, Adam S. Charles, Talmo D. Pereira, William Silversmith, Daniel J. Tward, Joshua T. Vogelstein, Benjamin D. Pedigo, Jaewon Chung, Benjamin Falk, Satrajit S. Ghosh, Nicholas L. Turner, Randal Burns
Publikováno v:
Annu Rev Neurosci
As acquiring bigger data becomes easier in experimental brain science, computational and statistical brain science must achieve similar advances to fully capitalize on these data. Tackling these problems will benefit from a more explicit and concerte
Publikováno v:
Journal of the Royal Society, Interface. 15(147)
Marine mussels (Mytilusspp.) attach to a wide variety of surfaces underwater using a network of byssal threads, each tipped with a protein-based adhesive plaque that uses the surrounding seawater environment as a curing agent. Plaques undergo environ
Autor:
Tianyi Chen, Youngser Park, Ali Saad-Eldin, Zachary Lubberts, Avanti Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo, Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher M. White, Carey E. Priebe
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-13 (2023)
Abstract Recent advancements have been made in the development of cell-based in-vitro neuronal networks, or organoids. In order to better understand the network structure of these organoids, a super-selective algorithm has been proposed for inferring
Externí odkaz:
https://doaj.org/article/dd431d1a9d754a39a8e3c7919c7480ff
Publikováno v:
Network Neuroscience, Vol 7, Iss 2, Pp 522-538 (2023)
AbstractGraph matching algorithms attempt to find the best correspondence between the nodes of two networks. These techniques have been used to match individual neurons in nanoscale connectomes—in particular, to find pairings of neurons across hemi
Externí odkaz:
https://doaj.org/article/99b045b559b24fd58f00939d8e5499e9