Results 121 to 130 of about 29,292 (141)
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Neural Synchrony and Neural Plasticity in Tinnitus

2011
1. Most individuals with chronic tinnitus have high-frequency hearing loss, induced by noise exposure, otological disease, or the aging process. Physiological evidence suggests that in such individuals, tinnitus is likely caused not by irritative processes that persist in the ear after cochlear injury, but by changes that occur in central auditory ...
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Feedback suppression of neural synchrony by vanishing stimulation

Physical Review E, 2007
We suggest a method for suppression of collective synchrony in an ensemble of all-to-all interacting units. The suppression is achieved by organizing an interaction between the ensemble and a passive oscillator. Technically, this can be easily implemented by a simple feedback scheme.
Natalia, Tukhlina   +3 more
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Emergent synchrony in locally coupled neural oscillators

IEEE Transactions on Neural Networks, 1995
The discovery of long range synchronous oscillations in the visual cortex has triggered much interest in understanding the underlying neural mechanisms and in exploring possible applications of neural oscillations. Many neural models thus proposed end up relying on global connections, leading to the question of whether lateral connections alone can ...
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Elementary Neural Networks and Synchrony

2020
All models discussed thus far were single cell models, but the brain has many cells that are coupled and exchange information. Connections of a few neurons can perform elementary functions, for instance filtering incoming action potential trains or detecting edges in images.
openaire   +1 more source

Neural reference groups: a synchrony-based classification approach for predicting attitudes using fNIRS

Social Cognitive and Affective Neuroscience, 2021
Macrina C Dieffenbach   +2 more
exaly  

Neural Synchrony

The Hearing Journal, 2014
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Synchrony driven neural variability

Neural variability is a defining feature of cortical activity, yet its mechanistic origins and functional consequences are not fully resolved. To better understand the subthreshold and spiking variability observed in neurons, we develop a theoretical framework based on a conductance-based model in which synaptic inputs activate in an all-or-none ...
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