Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's Lifetime [0.03%]
深度和音乐创作中统计知识的不确定性会在作曲家的一生中波动
Tatsuya Daikoku
Tatsuya Daikoku
Brain models music as a hierarchy of dynamical systems that encode probability distributions and complexity (i.e., entropy and uncertainty). Through musical experience over lifetime, a human is intrinsically motivated in optimizing the inte...
A Model-Based Assessment of the Seizure Onset Zone Predictive Power to Inform the Epileptogenic Zone [0.03%]
基于模型的 seizure onset zone 对预测致痫区的信息评估
Marinho A Lopes,Marc Goodfellow,John R Terry
Marinho A Lopes
Epilepsy surgery is a clinical procedure that aims to remove the brain tissue responsible for the emergence of seizures, the epileptogenic zone (EZ). It is preceded by an evaluation to determine the brain tissue that must be resected. The i...
Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface [0.03%]
基于事件相关电位脑计算机接口的视觉刺激颜色及oddball范式布局效果研究
Miaoji Guo,Jing Jin,Yong Jiao et al.
Miaoji Guo et al.
Objective: Stimulus visual patterns, such as size, content, color, luminosity, and interval, play key roles for brain-computer interface (BCI) performance. However, the three primary colors to be intercompared as a single variable or factor...
Ana P Millán,Joaquín J Torres,Joaquín Marro
Ana P Millán
Nature exhibits countless examples of adaptive networks, whose topology evolves constantly coupled with the activity due to its function. The brain is an illustrative example of a system in which a dynamic complex network develops by the ge...
On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems [0.03%]
肌骨骼系统中肌肉协同与冗余自由度之间的关系
Reza Sharif Razavian,Borna Ghannadi,John McPhee
Reza Sharif Razavian
It has been suggested that the human nervous system controls motions in the task (or operational) space. However, little attention has been given to the separation of the control of the task-related and task-irrelevant degrees of freedom. A...
Guohua Shen,Kshitij Dwivedi,Kei Majima et al.
Guohua Shen et al.
Deep neural networks (DNNs) have recently been applied successfully to brain decoding and image reconstruction from functional magnetic resonance imaging (fMRI) activity. However, direct training of a DNN with fMRI data is often avoided bec...
Petia D Koprinkova-Hristova,Nadejda Bocheva,Simona Nedelcheva et al.
Petia D Koprinkova-Hristova et al.
The paper presents a hierarchical spike timing neural network model developed in NEST simulator aimed to reproduce human decision making in simplified simulated visual navigation tasks. It includes multiple layers starting from retina photo...
Paulo R Protachevicz,Fernando S Borges,Ewandson L Lameu et al.
Paulo R Protachevicz et al.
Excessively high, neural synchronization has been associated with epileptic seizures, one of the most common brain diseases worldwide. A better understanding of neural synchronization mechanisms can thus help control or even treat epilepsy....
Stabilization of a Cart Inverted Pendulum: Improving the Intermittent Feedback Strategy to Match the Limits of Human Performance [0.03%]
倒立摆小车的稳定控制：改进间歇反馈策略以达到人控表现极限
Pietro Morasso,Taishin Nomura,Yasuyuki Suzuki et al.
Pietro Morasso et al.
Stabilization of the CIP (Cart Inverted Pendulum) is an analogy to stick balancing on a finger and is an example of unstable tasks that humans face in everyday life. The difficulty of the task grows exponentially with the decrease of the le...
Yali Amit
Yali Amit
We show that deep networks can be trained using Hebbian updates yielding similar performance to ordinary back-propagation on challenging image datasets. To overcome the unrealistic symmetry in connections between layers, implicit in back-pr...