Article
Neurosciences
Nelson Niemeyer, Jan-Hendrik Schleimer, Susanne Schreiber
Summary: The robustness of computations in the ever-changing conditions of the external world and intrinsic brain states remains a challenge. Utilizing biophysical models of neurons and mathematical theory, relevant physiological substrates can be identified to regulate neuronal excitability and stabilize crucial variables.
CURRENT OPINION IN NEUROBIOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Denis Tonini, Kai Wu, Renata Saha, Jian-Ping Wang
Summary: The effect of externally applied magnetic fields on the detectivity limit of spin-torque nano-oscillators (STNO) is studied. Micromagnetic models are used to analyze the impact of adjacent magnetic flux concentrators (MFCs) on induced auto-oscillations and magnetization dynamics. Different detectivities are observed depending on the distance between the MFCs and the nanopillar in perpendicular STNO structures. The optimal design of an STNO combined with MFCs is proposed to improve the limit of detectivity.
Article
Neurosciences
Yue Sun, Georgios Michalareas, David Poeppel
Summary: The study revisited the impact of auditory entrainment and found that under certain conditions, entrainment affects auditory detection. However, no significant effects were revealed at the group level, indicating both the sensitivity of the task to oscillatory entrainment and substantial individual variability in performance.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Lurong Jiang, Qikai Fan, Juntao Ren, Fang Dong, Tiejia Jiang, Junbiao Liu
Summary: This paper proposes a spike detection method using functional brain networks based on phase locking value (FBN-PLV) and deep learning. The method utilizes template matching and montages to obtain a set of candidate spikes, and then constructs functional brain networks based on phase locking value to extract features. Finally, an artificial neural network is used to identify the spikes, achieving high accuracy in testing BECT cases.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Acoustics
Sahar Zakeri, Masoud Geravanchizadeh
Summary: This study introduces a new robust binaural speech separation system based on a supervised deep neural network, which can separate the attended speaker in different room conditions. Using EEG signals, the system accurately detects the attended speaker among other interferences, and outperforms in terms of various objective intelligibility and quality measures.
Article
Engineering, Electrical & Electronic
Yujia Li, Dongmei Huang, Hongjie Chen, Feng Li, P. K. A. Wai
Summary: This study investigates the statistical properties of phase noise in a swept source-based coherent detection system (CDS) using a Fourier domain mode locked (FDML) laser, both theoretically and experimentally. The study finds that the probability density function (PDF) of the measured residual phase jitter (RPJ) is close to the Gaussian distribution, and the variance of the RPJ increases quadratically with the optical path difference of the CDS. Numerical simulations using stationary white noise confirm these findings, and the experimental results align well with the simulations. Overall, this study provides insights into the noise property of FDML laser-based CDS and evaluates the temporal coherence of swept lasers.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Rikard Gannedahl, Henrik Sjoland
Summary: This paper presents an LO phase shifter with frequency tripling for 28-GHz 5G transceivers. The phase shifting and frequency tripling are achieved using an injection-locked oscillator and injection-locked frequency tripler, respectively. A phase detector based on third harmonic mixing is also implemented and is used to detect the applied phase shift, supporting automatic calibration of the phase shifter.
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
(2023)
Article
Nanoscience & Nanotechnology
Yiding Wang, Xiukun Sui, Jinping Luo, Gucheng Yang, Penghui Fan, Botao Lu, Ming Li, Zhaojie Xu, Lina Qu, Yilin Song, Yinghui Li, Xinxia Cai
Summary: Hypoglycemia state damages the organism, and glucose-excited and glucose-inhibited neurons from the ventral medial hypothalamus can regulate this state. A new microelectrode array modified with nanomaterials was developed for real-time detection of the electrophysiology activities of these neurons. The results reveal a mechanism for glucose-sensitive neurons to respond to blood glucose, providing a basis for further controlling blood glucose and reducing damage to the organism.
ACS APPLIED BIO MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
Yiding Wang, Xiukun Sui, Jinping Luo, Gucheng Yang, Penghui Fan, Botao Lu, Ming Li, Zhaojie Xu, Lina Qu, Yilin Song, Yinghui Li, Xinxia Cai
Summary: A modified 32-channel microelectrode array with PtNPs/PB nanomaterials was developed to detect the electrophysiology activities of glucose-excited and glucose-inhibited neurons. Glucose-inhibited neurons showed an increased phase-locking level during fasting and exhibited theta rhythms after glucose injection. These findings provide insight into the mechanism of glucose-sensitive neurons and contribute to controlling blood glucose through modulating neuronal electrophysiology.
ACS APPLIED BIO MATERIALS
(2023)
Proceedings Paper
Optics
C. A. Lopez-Mercado, V. V. Spirin, J. L. Bueno Escobedo, P. Megret, D. A. Korobko, I. O. Zolotovskii, A. A. Fotiadi
Summary: The phase-sensitive optical time-domain reflectometry technique utilizes Rayleigh scattering for vibration detection and localization along sensing fibers. Stability of optical frequency fluctuations is crucial for the proper operation of the system.
OPTICAL SENSING AND DETECTION VI
(2021)
Article
Biophysics
Gemma Huguet, Anoushka Joglekar, Leopold Matamba Messi, Richard Buckalew, Sarah Wong, David Terman
BIOPHYSICAL JOURNAL
(2016)
Article
Mathematics, Applied
John Rinzel, Gemma Huguet
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS
(2013)
Article
Mathematics, Applied
Gemma Huguet, Rafael de la Llave, Yannick Sire
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS
(2012)
Article
Mathematics, Applied
Xiangying Meng, Gemma Huguet, John Rinzel
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS
(2012)
Article
Ophthalmology
Gemma Huguet, John Rinzel, Jean-Michel Hupe
Article
Mathematics, Applied
Gemma Huguet, Rafael de la Llave
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
(2013)
Article
Mathematical & Computational Biology
Oriol Castejon, Antoni Guillamon, Gemma Huguet
JOURNAL OF MATHEMATICAL NEUROSCIENCE
(2013)
Article
Mathematics, Applied
Amadeu Delshams, Antoni Guillamon, Gemma Huguet
Article
Mathematics, Applied
Albert Granados, Gemma Huguet
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2019)
Article
Mathematics, Applied
Alberto Perez-Cervera, Tere M. Seara, Gemma Huguet
JOURNAL OF NONLINEAR SCIENCE
(2019)
Article
Mathematical & Computational Biology
Alberto Perez-Cervera, Peter Ashwin, Gemma Huguet, Tere M. Seara, James Rankin
JOURNAL OF MATHEMATICAL NEUROSCIENCE
(2019)
Article
Mathematics, Applied
Alberto Perez-Cervera, Tere M. Seara, Gemma Huguet
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2020)
Article
Mathematics, Applied
Alberto Perez-Cervera, Tere M-Seara, Gemma Huguet
Article
Biochemical Research Methods
David Reyner-Parra, Gemma Huguet
Summary: This study explores the synchronization between neuronal circuits connected with unidirectional projections and finds that inputs with high coherence can entrain the network for a wider range of frequencies, leading to more effective communication. It also shows that faster oscillatory inputs are more effective in communication than inputs with similar frequency. Additionally, it demonstrates that pulsatile inputs can switch between attended inputs in selective attention.
PLOS COMPUTATIONAL BIOLOGY
(2022)