Results 271 to 280 of about 3,343,046 (404)

Don’t fear ‘fear conditioning’: Methodological considerations for the design and analysis of studies on human fear acquisition, extinction, and return of fear

Neuroscience and Biobehavioral Reviews, 2017
T. Lonsdorf, Mareike M. Menz, M. Andreatta, M. Fullana, A. Golkar, J. Haaker, I. Heitland, A. Hermann, M. Kuhn, Onno Kruse, Shira Meir Drexler, A. Meulders, F. Nees, A. Pittig, J. Richter, Sonja Römer, Y. Shiban, Anja P. Schmitz, B. Straube, B. Vervliet, J. Wendt, J. Baas, C. Merz   +22 more
semanticscholar   +1 more source

Estimation performance is modulated by emotional valence and stimulus onset asynchrony (SOA): evidence from priming paradigm. [PDF]

BMC Psychol
Wu E, Luo Z, Zhang C, Guan B, Zhu C.
europepmc   +1 more source

INTERTRIAL-INTERVAL RESPONSE PRODUCED BY FEAR DRIVE

, 1960
Yoshinori Matsuyama, SHIGETAKA TSUKIOKA
openalex   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Neonatal sevoflurane exposure enhances stress-related neurological susceptibility via NKCC1 modulation. [PDF]

Sci Rep
Yuan BY, Shan LH, Zou J, Xie XH, Gan JQ, Chen BZ.   +5 more
europepmc   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Fear-learning is altered in a mouse neuropathic pain model. [PDF]

Front Pain Res (Lausanne)
Assareh N, Sokolaj EE, Sadia S, Anderson KE, Frith C, Walls OB, Mitchell VA, Vaughan CW, Winters BL.   +8 more
europepmc   +1 more source

Christian Business Education in the Third Millennium: When Hope and Fear Collide

, 1969
Sharon G. Johnson
openalex   +2 more sources

Inflammation in Fear- and Anxiety-Based Disorders: PTSD, GAD, and Beyond

Neuropsychopharmacology, 2017
V. Michopoulos, A. Powers, Charles F. Gillespie, K. Ressler, T. Jovanović   +4 more
semanticscholar   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source