Nirag Kadakia
University of California, San Diego
20 Papers
122 Citations
Nirag Kadakia is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Silicon & Computer science. The author has an hindex of 6, co-authored 13 publications. Previous affiliations of Nirag Kadakia include State University of New York System & University at Albany, SUNY.
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Papers
Odour motion sensing enhances navigation of complex plumes
Nirag Kadakia,Mahmut Demir,Brenden T. Michaelis,Brian D DeAngelis,Matthew A. Reidenbach,Damon A. Clark,Thierry Emonet +6 more
TL;DR: The authors used a high-resolution virtual reality paradigm to deliver spatiotemporally complex fictive odours to freely walking flies, and showed that odour motion contains valuable directional information that is absent from the airflow alone, and that both Drosophila and virtual agents are aided by that information in navigating naturalistic plumes.
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Systematic variational method for statistical nonlinear state and parameter estimation.
J. Ye,Daniel Rey,Nirag Kadakia,Michael Eldridge,Uriel I. Morone,Paul J. Rozdeba,Henry D. I. Abarbanel,John C. Quinn +7 more
TL;DR: In this article, an annealing method for locating the variational path satisfying the Euler-Lagrange equations that comprises the major contribution to the integrals is presented.
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Fabrication of surface textures by ion implantation for antireflection of silicon crystals
TL;DR: In this article, a new method of texturing silicon surfaces suited for antireflection based on ion implantation of hydrogen and heavy ions or heavy elements combined with thermal annealing was proposed.
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Sensing complementary temporal features of odor signals enhances navigation of diverse turbulent plumes
TL;DR: The results suggest that the first stage of olfactory processing selects and encodes temporal features of odor signals critical to real-world navigation tasks and enhances robust navigation through a diversity of odor environments.
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•Posted Content
Nonlinear Statistical Data Assimilation for HVC$_{\text{RA}}$ Neurons in the Avian Song System
Nirag Kadakia,Eve Armstrong,Daniel Breen,Uriel I. Morone,Arij Daou,Daniel Margoliash,Henry D. I. Abarbanel +6 more
TL;DR: A model of HVC projection neurons comprised of a somatic compartment with fast Na and K currents and a dendritic compartment with slower Ca dynamics, which qualitatively exhibits many observed electrophysiological behaviors is discussed.
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