Zobrazeno 1 - 10
of 114
pro vyhledávání: '"James C. Knight"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 8, p e1011913 (2024)
The central complex of insects contains cells, organised as a ring attractor, that encode head direction. The 'bump' of activity in the ring can be updated by idiothetic cues and external sensory information. Plasticity at the synapses between these
Externí odkaz:
https://doaj.org/article/17bf7a44a73440c090cc90f6db35ccae
Autor:
Oluwaseyi Oladipupo Jesusanmi, Amany Azevedo Amin, Norbert Domcsek, James C. Knight, Andrew Philippides, Thomas Nowotny, Paul Graham
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
Ants are capable of learning long visually guided foraging routes with limited neural resources. The visual scene memory needed for this behaviour is mediated by the mushroom bodies; an insect brain region important for learning and memory. In a visu
Externí odkaz:
https://doaj.org/article/2985a5a258b140cf9fa2fed9298e0a1e
Autor:
Toni A. Pringle, Erik Ramon-Gil, Jack Leslie, Fiona Oakley, Matthew C. Wright, James C. Knight, Saimir Luli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Synaptophysin is expressed on fibrogenic hepatic myofibroblasts. C1–3 is a single chain human antibody (scAb) that binds specifically to synaptophysin on hepatic myofibroblasts, providing a targeting vector for novel in vivo imaging agents
Externí odkaz:
https://doaj.org/article/249add3f24f543028fdab2584eb87cf2
Publikováno v:
ACS Omega, Vol 8, Iss 50, Pp 47905-47912 (2023)
Externí odkaz:
https://doaj.org/article/5ca94edac7554b198e2af3a9c2993279
Autor:
James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/b1286af0a637415b9b9d0e120a8a1bb1
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2021)
More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ library for generating efficient spiking neural network simulation code for GP
Externí odkaz:
https://doaj.org/article/0385cb94047c4ec3b8c15796676fc10e
Autor:
Germain Haessig, Moritz B. Milde, Pau Vilimelis Aceituno, Omar Oubari, James C. Knight, André van Schaik, Ryad B. Benosman, Giacomo Indiveri
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Precise spike timing and temporal coding are used extensively within the nervous system of insects and in the sensory periphery of higher order animals. However, conventional Artificial Neural Networks (ANNs) and machine learning algorithms cannot ta
Externí odkaz:
https://doaj.org/article/c94e5e8b74d245ddae5733b7866c1609
Autor:
Yuri Ogawa, Sarah Nicholas, Malin Thyselius, Richard Leibbrandt, Thomas Nowotny, James C. Knight, Karin Nordström
Many animals use motion vision information to control dynamic behaviors. Predatory animals, for example, show an exquisite ability to detect rapidly moving prey followed by pursuit and capture. Such target detection is not only used by predators but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::694f0b671ebd55890dc1870ee3ce8185
https://doi.org/10.1101/2023.05.03.539331
https://doi.org/10.1101/2023.05.03.539331
Autor:
Toni A. Pringle, Corey D. Chan, Saimir Luli, Helen J. Blair, Kenneth S. Rankin, James C. Knight
Publikováno v:
Bioconjugate Chemistry. 33:1564-1573
Autor:
James C Knight, Thomas Nowotny
Publikováno v:
Neuro-Inspired Computational Elements Conference.