✦ LIBER ✦

Detection of neural activity using phase-sensitive optical low-coherence reflectometry

✍ Scribed by Akkin, Taner; Davé, Digant P.; Milner, Thomas E.; Rylander III, H. Grady

Book ID: 115404242
Publisher: Optical Society of America
Year: 2004
Tongue: English
Weight: 500 KB
Volume: 12
Category: Article
ISSN: 1094-4087
DOI: 10.1364/OPEX.12.002377

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Phase-sensitive optical low-coherence re

Phase-sensitive optical low-coherence reflectometry for the detection of analyte concentrations

✍ Larin, Kirill V. ;Akkin, Taner ;Esenaliev, Rinat O. ;Motamedi, Massoud ;Milner, 📂 Article 📅 2004 🏛 The Optical Society 🌐 English ⚖ 315 KB

Characterization of Fiber Bragg Gratings

Characterization of Fiber Bragg Gratings by Phase-Sensitive Optical Low-Coherence Reflectometry

✍ Obaton, A.-F.; Palavicini, C.; JaouenJaouen, Y.; Kerrinckx, E.; Quiquempois, Y.; 📂 Article 📅 2006 🏛 IEEE 🌐 English ⚖ 385 KB

Photothermal detection of gold nanoparti

Photothermal detection of gold nanoparticles using phase-sensitive optical coherence tomography

✍ Adler, Desmond C.; Huang, Shu-Wei; Huber, Robert; Fujimoto, James G. 📂 Article 📅 2008 🏛 Optical Society of America 🌐 English ⚖ 356 KB

Analysis of distributed feedback lasers

Analysis of distributed feedback lasers using optical low-coherence reflectometry

✍ Wiedmann, U.; Gallion, P.; Jaouen, Y.; Chabran, C. 📂 Article 📅 1998 🏛 Optical Society of America 🌐 English ⚖ 151 KB

Phase-sensitive optical low-coherence re

Phase-sensitive optical low-coherence reflectometry technique applied to the characterization of photonic crystal fiber properties

✍ Palavicini, Carlos; Jaouën, Yves; Debarge, Guy; Kerrinckx, Emmanuel; Quiquempois 📂 Article 📅 2005 🏛 Optical Society of America 🌐 English ⚖ 956 KB

Applications of complex-valued neural ne

Applications of complex-valued neural networks to coherent optical computing using phase-sensitive detection scheme

✍ Akira Hirose 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 621 KB

Applications of complex-valued neural networks to optical signal processing using phase-sensitive detection schemes are proposed and discussed. In optical information processing systems, the advantages of complex-valued neural networks are realized directly utilizing the physical phenomena of lightw