Low-frequency oscillations-LFOs-below 20 Hz in the activity of cortical neurons are a commonly observed property across all sensory modalities. However, the functional significance and potential role of these intrinsic oscillations are not well understood. Here, we attempt to provide a general framework for the interpretation of this phenomenon by considering its properties across several sensory modalities. In the first part, we provide a survey and a general description of low-frequency oscillations (LFOs) at a cellular level observed following adequate [Basar, and Schürmann, 1994]. Sensory stimulation of neurons recorded in three sensory modalities of neocortices in higher mammals. The second part will address some functional aspects of low-frequency oscillations (LFOs) such as stimulus selectivity and so-called 'interference' phenomena, specifically with findings related to 'resetting' and 'gating' of sensory processing streams. Finally, a hypotheses is outlined in which the low-frequency oscillations are regarded as an organizational principle by which continuity of sensory and motor states over time could be accomplished.
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http://dx.doi.org/10.1016/s0167-8760(97)00765-4 | DOI Listing |
Sci Rep
January 2025
College of Engineering and Information Technology, Aljanad University of Science and Technology, Taiz, Yemen.
Low-frequency oscillations (LFO) are inherent to large interconnected power systems. Timely detection and mitigation of these oscillations is essential to maintain reliable power system operation. This paper presents a methodology to identify and mitigate low-frequency oscillations ( forced and inter-area) using a wide area monitoring system (WAMS) based power system model utilizing phasor measurement units (PMUs).
View Article and Find Full Text PDFRev Sci Instrum
January 2025
Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, Fujian 361005, China.
A two-degree-of-freedom bistable energy harvester with a spring-magnet oscillator designed for ultra-low frequency vibration energy harvesting is presented in this paper. It combines magnetic plucking frequency upconversion and a variable potential function to achieve a high-efficiency response while also being suitably installed for applications with spatial limitations. A lumped parameter model of the piezoelectric energy harvester and the magnetic dipoles is applied to develop the theoretical model for the system.
View Article and Find Full Text PDFJ Neurosci
January 2025
Department of Biomedical Engineering, Michigan Technological University, 1400 Townsend Dr. Houghton, MI 49931.
Deep brain stimulation (DBS) effectively treats motor symptoms of advanced Parkinson's disease (PD), with the globus pallidus interna (GPi) commonly targeted. However, its therapeutic mechanisms remain unclear. We employed optogenetic stimulation in the entopeduncular nucleus (EP), the rat homologue of GPi, in a unilateral 6-OHDA lesioned female Sprague Dawley rat model of PD.
View Article and Find Full Text PDFHear Res
January 2025
Department of Neuroscience, University of Wisconsin-Madison, WI 53706, USA.
We developed an isolated auditory papilla of the crested gecko to record from the hair cells and explore the origins of frequency tuning. Low-frequency cells displayed electrical tuning, dependent on Ca-activated K channels; high-frequency cells, overlain with sallets, showed a variation in hair bundle stiffness which when combined with sallet mass could provide a mechanical resonance of 1 to 6 kHz. Sinusoidal electrical currents injected extracellularly evoked hair bundle oscillations at twice the stimulation frequency, consistent with fast electromechanical responses from hair bundles of two opposing orientations, as occur in the sallets.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
Sorbonne Université, Paris Brain Institute (ICM), CNRS UMR7225, INRIA Paris, INSERM U1127, Hôpital de la Pitié Salpêtrière, AP-HP, Paris 75013, France.
The time-resolved analysis of heart rate (HR) and heart rate variability (HRV) is crucial for the evaluation of the dynamic changes of autonomic activity under different clinical and behavioural conditions. Standard HRV analysis is performed in the frequency domain because the sympathetic activations tend to increase low-frequency HRV oscillations, while the parasympathetic ones increase high-frequency HRV oscillations. However, a strict separation of HRV into frequency bands may cause biased estimations, especially in the low-frequency range.
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