Maintaining Consistency of Spatial Information in the Hippocampal Network: A Combinatorial Geometry Model [0.03%]
海马体网络中空间信息一致性的维持：组合几何模型
Y Dabaghian
Y Dabaghian
Place cells in the rat hippocampus play a key role in creating the animal's internal representation of the world. During active navigation, these cells spike only in discrete locations, together encoding a map of the environment. Electrophy...
Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review [0.03%]
基于脑电的运动想象脑机接口连接性研究综述
Mahyar Hamedi,Sh-Hussain Salleh,Alias Mohd Noor
Mahyar Hamedi
Recent research has reached a consensus on the feasibility of motor imagery brain-computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most MI-BCI systems rely on temporal, spectral, and spatial featu...
Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses [0.03%]
具有非凸和光滑损失的分类稳健支持向量机
Yunlong Feng,Yuning Yang,Xiaolin Huang et al.
Yunlong Feng et al.
This letter addresses the robustness problem when learning a large margin classifier in the presence of label noise. In our study, we achieve this purpose by proposing robustified large margin support vector machines. The robustness of the ...
Vašek Chvátal,Mark Goldsmith,Nan Yang
Vašek Chvátal
In a pioneering classic, Warren McCulloch and Walter Pitts proposed a model of the central nervous system. Motivated by EEG recordings of normal brain activity, Chvátal and Goldsmith asked whether these dynamical systems can be engineered ...
Hoai An Le Thi,Xuan Thanh Vo,Tao Pham Dinh
Hoai An Le Thi
In this letter, we consider the nonnegative matrix factorization (NMF) problem and several NMF variants. Two approaches based on DC (difference of convex functions) programming and DCA (DC algorithm) are developed. The first approach follow...
Whole-Body Reaching Movements Formulated by Minimum Muscle-Tension Change Criterion [0.03%]
最低肌肉张力变化准则下的全身抓取运动模型研究
Naoki Kudo,Kyuheong Choi,Takahiro Kagawa et al.
Naoki Kudo et al.
It is well known that planar reaching movements of the human shoulder and elbow joints have invariant features: roughly straight hand paths and bell-shaped velocity profiles. The optimal control models with the criteria of smoothness or pre...
Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal Networks [0.03%]
学习多层前馈神经网络中精确的脉冲列车到脉冲列车的转换
Arunava Banerjee
Arunava Banerjee
We derive a synaptic weight update rule for learning temporally precise spike train-to-spike train transformations in multilayer feedforward networks of spiking neurons. The framework, aimed at seamlessly generalizing error backpropagation ...
State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI [0.03%]
基于状态空间的Granger-Geweke因果性测度分析及其在fMRI数据中的应用
Victor Solo
Victor Solo
The recent interest in the dynamics of networks and the advent, across a range of applications, of measuring modalities that operate on different temporal scales have put the spotlight on some significant gaps in the theory of multivariate ...
Effect of Reference Scheme on Power and Phase of the Local Field Potential [0.03%]
参考方案对局部场电位功率和相位的影响
Vinay Shirhatti,Ayon Borthakur,Supratim Ray
Vinay Shirhatti
Brain signals are often analyzed in the spectral domain, where the power spectral density (PSD) and phase differences and consistency can reveal important information about the network. However, for proper interpretation, it is important to...
Kun Zhan,Jicai Teng,Jinhui Shi et al.
Kun Zhan et al.
Inspired by gamma-band oscillations and other neurobiological discoveries, neural networks research shifts the emphasis toward temporal coding, which uses explicit times at which spikes occur as an essential dimension in neural representati...