Disjoint subspaces for common and distinct component analysis: Application to the fusion of multi-task FMRI data [0.03%]
用于多任务功能磁共振数据融合的通用和特定成分分离方法研究
M A B S Akhonda,Ben Gabrielson,Suchita Bhinge et al.
M A B S Akhonda et al.
Background: Data-driven methods such as independent component analysis (ICA) makes very few assumptions on the data and the relationships of multiple datasets, and hence, are attractive for the fusion of medical imaging d...
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis [0.03%]
基于统计、频谱、小波、功能连接和非线性分析的抑郁障碍分类框架
Reza Akbari Movahed,Gila Pirzad Jahromi,Shima Shahyad et al.
Reza Akbari Movahed et al.
Background: Major depressive disorder (MDD) is a prevalent mental illness that is diagnosed through questionnaire-based approaches; however, these methods may not lead to an accurate diagnosis. In this regard, many studie...
Computational approach to understand temporal and spatial tactile transmission processes from mechanical stimuli of the index fingertip to the primary somatosensory cortex [0.03%]
计算方法理解从食指机械刺激到初级体感皮层的时空触觉传输过程
Masami Iwamoto,Toru Hamasaki,Yoshitaka Asano et al.
Masami Iwamoto et al.
Mechanisms of information transmission using tactile sense are one of major concerns in producing simulated experience in virtual or augmented reality as well as in compensating elderly or impaired people with diminished tactile sensory fun...
Phenomenological model of auditory nerve population responses to cochlear implant stimulation [0.03%]
耳蜗植入电刺激听神经元群体反应的现象学模型
Sonia Tabibi,Jason Boulet,Norbert Dillier et al.
Sonia Tabibi et al.
Background: Models of auditory nerve fiber (ANF) responses to electrical stimulation are helpful to develop advanced coding for cochlear implants (CIs). A phenomenological model of ANF population responses to CI electrica...
Appraisal of definition of baseline length for somatosensory evoked magnetic fields [0.03%]
躯体感觉诱发电磁场基线长度界定的评价
Hidekazu Saito,Shogo Yazawa,Jun Shinozaki et al.
Hidekazu Saito et al.
Background: The baseline (BL) segment in the prestimulus period is generally assigned as a reference of evoked activities. However, an experimenter empirically defines its length in each condition. So far, the criterion f...
Modular and state-relevant functional network connectivity in high-frequency eyes open vs eyes closed resting fMRI data [0.03%]
高频情况下基于任务的状态相关的功能连接网络的模块性研究
Thomas DeRamus,Ashkan Faghiri,Armin Iraji et al.
Thomas DeRamus et al.
Background: Resting-state fMRI (rs-fMRI) is employed to assess "functional connections" of signal between brain regions. However, multiple rs-fMRI paradigms and data-filtering strategies have been used, highlighting the n...
Characterization of neuronal viability and network activity under microfluidic flow [0.03%]
微流体流动下的神经元存活率及网络活性分析
Nitzan Herzog,Alexander Johnstone,Tomas Bellamy et al.
Nitzan Herzog et al.
Background: Microfluidics technology has the potential to allow precise control of the temporal and spatial aspects of solute concentration, making it highly relevant for the study of volume transmission mechanisms in neu...
James A Carroll,Simote T Foliaki,Cathryn L Haigh
James A Carroll
Background: Neurodegenerative diseases are highly complex making them challenging to model in cell culture. All cell types of the brain have been implicated as exerting an effect on pathogenesis, and disease progression i...
Mining naturalistic human behaviors in long-term video and neural recordings [0.03%]
基于长期视频和神经记录的自然行为挖掘研究
Satpreet H Singh,Steven M Peterson,Rajesh P N Rao et al.
Satpreet H Singh et al.
Background: Recent technological advances in brain recording and machine learning algorithms are enabling the study of neural activity underlying spontaneous human behaviors, beyond the confines of cued, repeated trials. ...
Improved inference in coupling, encoding, and decoding models and its consequence for neuroscientific interpretation [0.03%]
改进耦合、编码和解码模型的推断及其对神经科学解释的影响
Pratik S Sachdeva,Jesse A Livezey,Maximilian E Dougherty et al.
Pratik S Sachdeva et al.
Background: A central goal of systems neuroscience is to understand the relationships amongst constituent units in neural populations, and their modulation by external factors, using high-dimensional and stochastic neural...