The Orientation Selectivity of Spike-LFP Synchronization in Macaque V1 and V4 [0.03%]
猕猴V1和V4区域神经元脉冲场电位同步的方位选择性
Zhaohui Li,Mengyu Gao,Yongtian Wang
Zhaohui Li
Orientation selectivity is a fundamental property of visual cortical neurons and plays a crucial role in pattern perception. Although many studies have dedicated to explain how the orientation selectivity emerged, the mechanism underlying o...
A Game-Theoretical Network Formation Model for C. elegans Neural Network [0.03%]
秀丽隐杆线虫神经网络的一个博弈论型网络生成模型
Mohamad Khajezade,Sama Goliaei,Hadi Veisi
Mohamad Khajezade
Studying and understanding human brain structures and functions have become one of the most challenging issues in neuroscience today. However, the mammalian nervous system is made up of hundreds of millions of neurons and billions of synaps...
Daniel E Cahall,Ghulam Rasool,Nidhal C Bouaynaya et al.
Daniel E Cahall et al.
Magnetic resonance images of brain tumors are routinely used in neuro-oncology clinics for diagnosis, treatment planning, and post-treatment tumor surveillance. Currently, physicians spend considerable time manually delineating different st...
A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision Making [0.03%]
一种基于多属性、情境依赖的决策中的注意力控制计算模型
Kanghoon Jung,Jaeseung Jeong,Jerald D Kralik
Kanghoon Jung
Real-life decisions often require a comparison of multi-attribute options with various benefits and costs, and the evaluation of each option depends partly on the others in the choice set (i.e., the choice context). Although reinforcement l...
Histogram of Gradient Orientations of Signal Plots Applied to P300 Detection [0.03%]
基于信号图的梯度方向直方图在P300检测中的应用
Rodrigo Ramele,Ana Julia Villar,Juan Miguel Santos
Rodrigo Ramele
The analysis of Electroencephalographic (EEG) signals is of ulterior importance to aid in the diagnosis of mental disease and to increase our understanding of the brain. Traditionally, clinical EEG has been analyzed in terms of temporal wav...
Auditory Stream Segregation Can Be Modeled by Neural Competition in Cochlear Implant Listeners [0.03%]
听觉流分割可以通过耳蜗植入者神经竞争的模型进行模拟
Andreu Paredes-Gallardo,Torsten Dau,Jeremy Marozeau
Andreu Paredes-Gallardo
Auditory stream segregation is a perceptual process by which the human auditory system groups sounds from different sources into perceptually meaningful elements (e.g., a voice or a melody). The perceptual segregation of sounds is important...
The Embodied Brain of SOVEREIGN2: From Space-Variant Conscious Percepts During Visual Search and Navigation to Learning Invariant Object Categories and Cognitive-Emotional Plans for Acquiring Valued Goals [0.03%]
SOVEREIGN2的具身大脑：从视觉搜索和导航过程中的空间变异意识知觉到为获取有价值目标的认知情绪规划学习不变物体类别
Stephen Grossberg
Stephen Grossberg
This article develops a model of how reactive and planned behaviors interact in real time. Controllers for both animals and animats need reactive mechanisms for exploration, and learned plans to efficiently reach goal objects once an enviro...
A Temporal Signal-Processing Circuit Based on Spiking Neuron and Synaptic Learning [0.03%]
一种基于脉冲神经元和突触学习的时序信号处理电路
Hui Wei,Yi-Fan Du
Hui Wei
Time is a continuous, homogeneous, one-way, and independent signal that cannot be modified by human will. The mechanism of how the brain processes temporal information remains elusive. According to previous work, time-keeping in medial prem...
On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding [0.03%]
自然声音和自然图像的稀疏结构：相似性、差异及其对神经编码的意义
Eric McVoy Dodds,Michael Robert DeWeese
Eric McVoy Dodds
Sparse coding models of natural images and sounds have been able to predict several response properties of neurons in the visual and auditory systems. While the success of these models suggests that the structure they capture is universal a...
Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder [0.03%]
内在脊髓动力学对于自闭症谱系障碍模型与非自闭症谱系障碍模型递归网络学习至关重要
James Humble,Kazuhiro Hiratsuka,Haruo Kasai et al.
James Humble et al.
It is often assumed that Hebbian synaptic plasticity forms a cell assembly, a mutually interacting group of neurons that encodes memory. However, in recurrently connected networks with pure Hebbian plasticity, cell assemblies typically dive...