Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in Improvisation [0.03%]
即兴演奏中的音乐创造力和潜在知识的深度：隐性知识的频域和时域个性化的研究
Tatsuya Daikoku
Tatsuya Daikoku
It has been suggested that musical creativity is mainly formed by implicit knowledge. However, the types of spectro-temporal features and depth of the implicit knowledge forming individualities of improvisation are unknown. This study, usin...
A Neurobiologically Constrained Cortex Model of Semantic Grounding With Spiking Neurons and Brain-Like Connectivity [0.03%]
一种神经生物学约束的大脑皮层模型：用尖峰神经元和类脑连接实现语义基础化
Rosario Tomasello,Max Garagnani,Thomas Wennekers et al.
Rosario Tomasello et al.
One of the most controversial debates in cognitive neuroscience concerns the cortical locus of semantic knowledge and processing in the human brain. Experimental data revealed the existence of various cortical regions relevant for meaning p...
Recurrent Deep Neural Networks for Real-Time Sleep Stage Classification From Single Channel EEG [0.03%]
基于单通道EEG的实时睡眠分期循环深度神经网络
Erik Bresch,Ulf Großekathöfer,Gary Garcia-Molina
Erik Bresch
Objective: We investigate the design of deep recurrent neural networks for detecting sleep stages from single channel EEG signals recorded at home by non-expert users. We report the effect of data set size, architecture choices, regularizat...
Ahmed A Moustafa,Thierno M O Diallo,Nicola Amoroso et al.
Ahmed A Moustafa et al.
Mohammad Zarei,Mehran Jahed,Mohammad Reza Daliri
Mohammad Zarei
Measuring the coupling of single neuron's spiking activities to the local field potentials (LFPs) is a method to investigate neuronal synchronization. The most important synchronization measures are phase locking value (PLV), spike field co...
Corrigendum: Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis [0.03%]
基于表面等离子共振的光学纤维神经记录的计算分析的勘误页
Mitra Abedini,Tahereh Tekieh,Pezhman Sasanpour
Mitra Abedini
[This corrects the article DOI: 10.3389/fncom.2018.00061.]. Keywords: COMSOL; action potential; fiber optics...
Published Erratum
Frontiers in computational neuroscience. 2018 Oct 16:12:87. DOI:10.3389/fncom.2018.00087 2018
The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function [0.03%]
神经反馈和前馈控制结合增强模拟人步行减小踏步扰动鲁棒性的益处依赖于肌肉功能
Daniel F B Haeufle,Birgit Schmortte,Hartmut Geyer et al.
Daniel F B Haeufle et al.
It is often assumed that the spinal control of human locomotion combines feed-forward central pattern generation with sensory feedback via muscle reflexes. However, the actual contribution of each component to the generation and stabilizati...
Reducing the Effect of Spurious Phase Variations in Neural Oscillatory Signals [0.03%]
减少神经振荡信号中虚假相位变化的影响
Zeinab Mortezapouraghdam,Farah I Corona-Strauss,Kazutaka Takahashi et al.
Zeinab Mortezapouraghdam et al.
The phase-reset model of oscillatory EEG activity has received a lot of attention in the last decades for decoding different cognitive processes. Based on this model, the ERPs are assumed to be generated as a result of phase reorganization ...
Theoretical Principles of Multiscale Spatiotemporal Control of Neuronal Networks: A Complex Systems Perspective [0.03%]
多层次时空控制神经网络的理论原则——复杂系统视角
Nima Dehghani
Nima Dehghani
Success in the fine control of the nervous system depends on a deeper understanding of how neural circuits control behavior. There is, however, a wide gap between the components of neural circuits and behavior. We advance the idea that a su...
Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical Models [0.03%]
任务相关的递归神经网络皮层模型的局部突触变化的小型神经元群落Localized to Small Neuronal Populations
Satoshi Kuroki,Takuya Isomura
Satoshi Kuroki
Humans have flexible control over cognitive functions depending on the context. Several studies suggest that the prefrontal cortex (PFC) controls this cognitive flexibility, but the detailed underlying mechanisms remain unclear. Recent deve...