Results 21 to 30 of about 754,796 (322)
Brain Sciences, 2021 Transcranial direct current stimulation (tDCS) has been investigated as a way of improving motor learning. Our purpose was to explore the reversal bilateral tDCS effects on manual dexterity training, during five days, with the retention component ...
Laura Flix-Díez +5 more
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Inference in neural networks using conditional mean-field methods [PDF]
International Conference on Neural Information Processing 2021, 2021 We extend previous mean-field approaches for non-equilibrium neural network models to estimate correlations in the system. This offers a powerful tool for approximating the system dynamics as well as a fast method to infer network parameters from observations.
arxiv +1 more source
Frontiers in Neuroanatomy, 2022 In night-migratory songbirds, neurobiological and behavioral evidence suggest the existence of a magnetic sense associated with the ophthalmic branch of the trigeminal nerve (V1), possibly providing magnetic positional information. Curiously, neither the
Katrin Haase +8 more
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A Fully Integrated Sensor-Brain-Machine Interface System for Restoring Somatosensation [PDF]
IEEE Sensors Journal, 2020, 2020 Sensory feedback is critical to the performance of neural prostheses that restore movement control after neurological injury. Recent advances in direct neural control of paralyzed arms present new requirements for miniaturized, low-power sensor systems.
arxiv +1 more source
Frontiers in Neuroscience, 2020 Phase synchronization measures are widely used for investigating inter-regional functional connectivity (FC) of brain oscillations, but which phase synchronization measure should be chosen for a given experiment remains unclear. Using neuromagnetic brain
Kenji Yoshinaga +8 more
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Encoding of tactile stimuli by mechanoreceptors and interneurons of the medicinal leech
Frontiers in Physiology, 2016 For many animals processing of tactile information is a crucial task in behavioral contexts like exploration, foraging and stimulus avoidance. The leech, having infrequent access to food, developed an energy efficient reaction to tactile stimuli ...
Jutta Kretzberg +6 more
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Seven properties of self-organization in the human brain [PDF]
Big Data and Cognitive Computing, 2020; 4, article10, 2020 The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience, biology and medicine, ecology, and sociology.
arxiv +1 more source
Frontiers in Human Neuroscience, 2014 The mysteries of early development of cortical processing in humans have started to unravel with the help of new noninvasive brain research tools like multichannel magnetoencephalography (MEG).
Päivi eNevalainen +4 more
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The problem of perfect predictors in statistical spike train models [PDF]
Neurons, Behavior, Data analysis, and Theory, Vol. 5, Issue 3,
2021, 2021 Generalized Linear Models (GLMs) have been used extensively in statistical models of spike train data. However, the maximum likelihood estimates of the model parameters and their uncertainty, can be challenging to compute in situations where response and non-response can be separated by a single predictor or a linear combination of multiple predictors.
arxiv +1 more source
Frontiers in Neural Circuits, 2019 Methods of functional connectivity are applied ubiquitously in studies involving non-invasive whole-brain signals, but may be not optimal for exploring the propagation of the steady-state responses, which are strong oscillatory patterns of neurodynamics ...
Vasily A. Vakorin +9 more
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