Giuseppe Vinci,Valérie Ventura,Matthew A Smith et al.
Giuseppe Vinci et al.
Populations of cortical neurons exhibit shared fluctuations in spiking activity over time. When measured for a pair of neurons over multiple repetitions of an identical stimulus, this phenomenon emerges as correlated trial-to-trial response...
Akifumi Notsu,Shinto Eguchi
Akifumi Notsu
Contamination of scattered observations, which are either featureless or unlike the other observations, frequently degrades the performance of standard methods such as K-means and model-based clustering. In this letter, we propose a robust ...
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification [0.03%]
基于张量的回归和分类的理论与实验分析
Kishan Wimalawarne,Ryota Tomioka,Masashi Sugiyama
Kishan Wimalawarne
We theoretically and experimentally investigate tensor-based regression and classification. Our focus is regularization with various tensor norms, including the overlapped trace norm, the latent trace norm, and the scaled latent trace norm....
Saurabh Paul,Petros Drineas
Saurabh Paul
We introduce single-set spectral sparsification as a deterministic sampling-based feature selection technique for regularized least-squares classification, which is the classification analog to ridge regression. The method is unsupervised a...
Yiming Ying,Ding-Xuan Zhou
Yiming Ying
Pairwise learning usually refers to a learning task that involves a loss function depending on pairs of examples, among which the most notable ones are bipartite ranking, metric learning, and AUC maximization. In this letter we study an onl...
Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality [0.03%]
新皮层神经元集群的动态可塑性及其对注意和工作记忆的依赖关系
Claus Agerskov
Claus Agerskov
A neural network model is presented of novelty detection in the CA1 subdomain of the hippocampal formation from the perspective of information flow. This computational model is restricted on several levels by both anatomical information abo...
Downstream Effect of Ramping Neuronal Activity through Synapses with Short-Term Plasticity [0.03%]
通过短期可塑性突触增强神经元活动的下游效应
Wei Wei,Xiao-Jing Wang
Wei Wei
Ramping neuronal activity refers to spiking activity with a rate that increases quasi-linearly over time. It has been observed in multiple cortical areas and is correlated with evidence accumulation processes or timing. In this work, we inv...
Yang Liu,Jinde Cao,Liangjie Sun et al.
Yang Liu et al.
In this letter, we investigate the sampled-data state feedback control (SDSFC) problem of Boolean control networks (BCNs). Some necessary and sufficient conditions are obtained for the global stabilization of BCNs by SDSFC. Different from c...
Mark Tygert,Joan Bruna,Soumith Chintala et al.
Mark Tygert et al.
A complex-valued convolutional network (convnet) implements the repeated application of the following composition of three operations, recursively applying the composition to an input vector of nonnegative real numbers: (1) convolution with...
Jeong Yoon Lee,Youngmin Oh,Sung Shin Kim et al.
Jeong Yoon Lee et al.
Although scheduling multiple tasks in motor learning to maximize long-term retention of performance is of great practical importance in sports training and motor rehabilitation after brain injury, it is unclear how to do so. We propose here...