Neural oscillators for magnetic hysteresis modeling
CoRR, 2023 Hysteresis is a ubiquitous phenomenon in science and engineering; its modeling and identification are crucial for understanding and optimizing the behavior of various systems. We develop an ordinary differential equation-based recurrent neural network (RNN) approach to model and quantify the hysteresis, which manifests itself in sequentiality and ...
Abhishek Chandra +6 more
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Mixed mode oscillations in mouse spinal motoneurons arise from a low excitability state [PDF]
, 2011 We explain the mechanism that elicits the mixed mode oscillations (MMOs) and the subprimary firing range that we recently discovered in mouse spinal motoneurons.
Caroline Iglesias +14 more
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Parkinsonian beta oscillations in the external globus pallidus and their relationship with subthalamic nucleus activity [PDF]
, 2008 Inappropriately synchronized beta (β) oscillations (15–30 Hz) in the subthalamic nucleus (STN) accompany movement difficulties in idiopathic Parkinson's disease (PD).
Bolam, JP +12 more
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Posterior Beta and Anterior Gamma Oscillations Predict Cognitive Insight [PDF]
, 2009 Pioneering neuroimaging studies on insight have revealed neural correlates of the emotional “Aha!” component of the insight process, but neural substrates of the cognitive component, such as problem restructuring (a key to transformative reasoning ...
Sheth, Bhavin R. +2 more
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Beta band oscillations in motor cortex reflect neural population signals that delay movement onset
eLife, 2017 Motor cortical beta oscillations have been reported for decades, yet their behavioral correlates remain unresolved. Some studies link beta oscillations to changes in underlying neural activity, but the specific behavioral manifestations of these reported
Preeya Khanna, Jose M Carmena
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A computational study on altered theta-gamma coupling during learning and phase coding [PDF]
, 2012 There is considerable interest in the role of coupling between theta and gamma oscillations in the brain in the context of learning and memory. Here we have used a neural network model which is capable of producing coupling of theta phase to gamma ...
Yang Zhan +19 more
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eLifeDetermining the presence and frequency of neural oscillations is essential to understanding dynamic brain function. Traditional methods that detect peaks over 1/f noise within the power spectrum fail to distinguish between the fundamental frequency and ...
Hohyun Cho +3 more
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Measuring the Coupling Direction between Neural Oscillations with Weighted Symbolic Transfer Entropy
Entropy, 2020 Neural oscillations reflect rhythmic fluctuations in the synchronization of neuronal populations and play a significant role in neural processing. To further understand the dynamic interactions between different regions in the brain, it is necessary to ...
Zhaohui Li +3 more
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Optimal entrainment of neural oscillator ensembles [PDF]
Journal of Neural Engineering, 2012 In this paper, we derive the minimum-energy periodic control that entrains an ensemble of structurally similar neural oscillators to a desired frequency. The state space representation of a nominal oscillator is reduced to a phase model by computing its limit cycle and phase response curve, from which the optimal control is derived by using formal ...
Zlotnik, Anatoly, Li, Jr-Shin
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Computational design and nonlinear dynamics of a recurrent network model of the primary visual cortex. [PDF]
, 2001 Recurrent interactions in the primary visual cortex make its output a complex nonlinear transform of its input. This transform serves preattentive visual segmentation, that is, autonomously processing visual inputs to give outputs that selectively ...
Li, Z, Li, Z., Zhaoping Li
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