“What have we GANEd?” A theoretical construct to explain experimental evidence for noradrenergic regulation of sensory signal processing

2016 ◽  
Vol 39 ◽  
Author(s):  
Rachel Navarra ◽  
Barry Waterhouse

AbstractThe GANE (glutamate amplifies noradrenergic effects) theory posits a mechanism for amplifying noradrenergic modulatory actions and enhancing the processing of high-priority sensory signals for immediate or future experience-guided action. This theoretical construct is thought provoking with respect to the central processing of high-priority versus low-priority stimuli, but it requires some refinement to account for physiological fluctuations in NE efflux as a function of naturally occurring transitions in behavioral state and the experimentally observed phenomena associated with noradrenergic regulation of sensory signal transfer.

2017 ◽  
pp. 543-562
Author(s):  
Friedrich Marks ◽  
Ursula Klingmüller ◽  
Karin Müller-Decker

1999 ◽  
Vol 81 (4) ◽  
pp. 1856-1865 ◽  
Author(s):  
Dietmar Hess ◽  
Ansgar Büschges

Role of proprioceptive signals from an insect femur-tibia joint in patterning motoneuronal activity of an adjacent leg joint. Interjoint reflex function of the insect leg contributes to postural control at rest or to movement control during locomotor movements. In the stick insect ( Carausius morosus), we investigated the role that sensory signals from the femoral chordotonal organ (fCO), the transducer of the femur-tibia (FT) joint, play in patterning motoneuronal activity in the adjacent coxa-trochanteral (CT) joint when the joint control networks are in the movement control mode of the active behavioral state. In the active behavioral state, sensory signals from the fCO induced transitions of activity between antagonistic motoneuron pools, i.e., the levator trochanteris and the depressor trochanteris motoneurons. As such, elongation of the fCO, signaling flexion of the FT joint, terminated depressor motoneuron activity and initiated activity in levator motoneurons. Relaxation of the fCO, signaling extension of the FT joint, induced the opposite transition by initiating depressor motoneuron activity and terminating levator motoneuron activity. This interjoint influence of sensory signals from the fCO was independent of the generation of the intrajoint reflex reversal in the FT joint, i.e., the “active reaction,” which is released by elongation signals from the fCO. The generation of these transitions in activity of trochanteral motoneurons barely depended on position or velocity signals from the fCO. This contrasts with the situation in the resting behavioral state when interjoint reflex action markedly depends on actual fCO stimulus parameters, i.e., position and velocity signals. In the active behavioral state, movement signals from the fCO obviously trigger or release centrally generated transitions in motoneuron activity, e.g., by affecting central rhythm generating networks driving trochanteral motoneuron pools. This conclusion was tested by stimulating the fCO in “fictive rhythmic” preparations, activated by the muscarinic agonist pilocarpine in the otherwise isolated and deafferented mesothoracic ganglion. In this situation, sensory signals from the fCO did in fact reset and entrain rhythmic activity in trochanteral motoneurons. The results indicate for the first time that when the stick insect locomotor system is active, sensory signals from the proprioceptor of one leg joint, i.e., the fCO, pattern motor activity in an adjacent leg joint, i.e., the CT joint, by affecting the central rhythm generating network driving the motoneurons of the adjacent joint.


2001 ◽  
Vol 01 (01) ◽  
pp. R13-R24 ◽  
Author(s):  
SERGIY A. VOROBYOV ◽  
ANDRZEJ CICHOCKI ◽  
YEVGENIY V. BODYANSKIY

This paper describes a fast adaptive algorithm for noise cancellation using multi-sensory signal recordings of the same noisy source. It is shown that the performance of the new procedure for noise cancellation for multi-sensory signals is improved when compared to previously proposed methods. A short overview of the previously proposed methods is given. Optimality of the algorithm is discussed and numerical simulation is included to show the validity and effectiveness of the algorithm.


Science ◽  
2010 ◽  
Vol 330 (6010) ◽  
pp. 1510-1512 ◽  
Author(s):  
T. Kaelberer ◽  
V. A. Fedotov ◽  
N. Papasimakis ◽  
D. P. Tsai ◽  
N. I. Zheludev

Toroidal multipoles are fundamental electromagnetic excitations different from those associated with the familiar charge and magnetic multipoles. They have been held responsible for parity violation in nuclear and particle physics, but direct evidence of their existence in classical electrodynamics has remained elusive. We report on the observation of a resonant electromagnetic response in an artificially engineered medium, or metamaterial, that cannot be attributed to magnetic or charge multipoles and can only be explained by the existence of a toroidal dipole. Our direct experimental evidence of the toroidal response brings attention to the often ignored electromagnetic interactions involving toroidal multipoles, which could be present in naturally occurring systems, especially at the macromolecule level, where toroidal symmetry is ubiquitous.


2013 ◽  
Vol 48 (2) ◽  
pp. 51-61 ◽  
Author(s):  
Petr Roule ◽  
Ondřej Jakubov ◽  
Pavel Kovář ◽  
Petr Kařmařík ◽  
František Vejražka

ABSTRACT Signal processing of the global navigation satellite systems (GNSS) is a computationally demanding task due to the wide bandwidth of the signals and their complicated modulation schemes. The classical GNSS receivers therefore utilize tailored digital signal processors (DSP) not being flexible in nature. Fortunately, the up-to-date parallel processors or graphical processing units (GPUs) dispose sufficient computational power for processing of not only relatively narrow band GPS L1 C/A signal but also the modernized GPS, GLONASS, Galileo and COMPASS signals. The performance improvement of the modern processors is based on the constantly increasing number of cores. This trend is evident not only from the development of the central processing units (CPUs), but also from the development of GPUs that are nowadays equipped with up to several hundreds of cores optimized for video signals. GPUs include special vector instructions that support implementation of massive parallelism. The new GPUs, named as general-purpose computation on graphics processing units (GPGPU), are able to process both graphic and general data, thus making the GNSS signal processing possible. Application programming interfaces (APIs) supporting GPU parallel processing have been developed and standardized. The most general one, Open Computing Language (Open CL), is now supported by most of the GPU vendors. Next, Compute Unified Device Architecture (CUDA) language was developed for NVidia graphic cards. The CUDA language features optimized signal processing libraries including efficient implementation of the fast Fourier transform (FFT). In this paper, we study the applicability of the GPU approach in GNSS signal acquisition. Two common parallel DSP methods, parallel code space search (PCSS) and double-block zero padding (DBZP), have been investigated. Implementations in the C language for CPU and the CUDA language for GPU are discussed and compared with respect to the acquisition time. It is shown that for signals with long ranging codes (with 10230 number of chips - Galileo E5, GPS L5 etc.). Paper presented at the "European Navigation Conference 2012", held in Gdansk, Poland


1997 ◽  
Vol 29 (8) ◽  
pp. 999-1012 ◽  
Author(s):  
DANE B. COOK ◽  
PATRICK J. O'CONNOR ◽  
STEVEN A. EUBANKS ◽  
JEROME C. SMITH ◽  
MING LEE

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4300 ◽  
Author(s):  
Qing Ye ◽  
Shaohu Liu ◽  
Changhua Liu

Collecting multi-channel sensory signals is a feasible way to enhance performance in the diagnosis of mechanical equipment. In this article, a deep learning method combined with feature fusion on multi-channel sensory signals is proposed. First, a deep neural network (DNN) made up of auto-encoders is adopted to adaptively learn representative features from sensory signal and approximate non-linear relation between symptoms and fault modes. Then, Locality Preserving Projection (LPP) is utilized in the fusion of features extracted from multi-channel sensory signals. Finally, a novel diagnostic model based on multiple DNNs (MDNNs) and softmax is constructed with the input of fused deep features. The proposed method is verified in intelligent failure recognition for automobile final drive to evaluate its performance. A set of contrastive analyses of several intelligent models based on the Back-Propagation Neural Network (BPNN), Support Vector Machine (SVM) and the proposed deep architecture with single sensory signal and multi-channel sensory signals is implemented. The proposed deep architecture of feature extraction and feature fusion on multi-channel sensory signals can effectively recognize the fault patterns of final drive with the best diagnostic accuracy of 95.84%. The results confirm that the proposed method is more robust and effective than other comparative methods in the contrastive experiments.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Rohit Abraham John ◽  
Naveen Tiwari ◽  
Muhammad Iszaki Bin Patdillah ◽  
Mohit Rameshchandra Kulkarni ◽  
Nidhi Tiwari ◽  
...  

2020 ◽  
Vol 16 (10) ◽  
pp. 20200391
Author(s):  
Harikumar R. Suma ◽  
Swathi Prakash ◽  
Sandeep M. Eswarappa

Naturally occurring fluorescence has been observed in multiple species ranging from bacteria to birds. In macroscopic animals such as birds, fluorescence provides a visual communication signal. However, the functional significance of this phenomenon is unknown in most cases. Though photoprotection is attributed to fluorescence under ultraviolet (UV) light in some organisms, it lacks direct experimental evidence. Here, we demonstrate naturally occurring fluorescence under UV light in a eutardigrade belonging to the genus Paramacrobiotus . Using a natural variant that lacks fluorescence, we show that the fluorescence confers tolerance to lethal UV radiation. Remarkably, the fluorescent extract from Paramacrobiotus sp. could protect the UV-sensitive tardigrade Hypsibius exemplaris and nematode Caenorhabditis elegans from germicidal UV radiation. We propose that Paramacrobiotus sp. possess a protective fluorescent shield that absorbs harmful UV radiation and emits harmless blue light.


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