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    • Neural networks : the official journal of the International Neural Network Society Journal

    Papers
    Co-attention Enabled Content-Based Image Retrieval
    Zechao Hu,Adrian G. Bors
    Neural networks : the official journal of the International Neural Network Society（2023）
    Content-based image retrieval (CBIR) aims to provide the most similar images to a given query. Feature extraction plays an essential role in retrieval performance within a CBIR pipeline. Current CBIR studies would either uniformly extract feature information from the input image ...
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    Local Model for Contextual Modulation in the Cerebral Cortex
    Simo Vanni
    Neural networks : the official journal of the International Neural Network Society（2011）
    A neural response to a sensory stimulus in cerebral cortex is modulated when other stimuli are presented simultaneously. The other stimuli can modulate responses even when they do not drive the neural output alone, indicating a non-linear summation of synaptic activity. The mecha...
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    Spatial View Cells in the Hippocampus, and Their Idiothetic Update Based on Place and Head Direction
    ET Rolls,SM Stringer
    Neural networks : the official journal of the International Neural Network Society（2005）
    Single neuron recording studies have demonstrated the existence of spatial view neurons which encode information about the spatial location at which a primate is looking in the environment. These neurons are able to maintain their firing even in the absence of visual input. The s...
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    Generating Action Descriptions from Statistically Integrated Representations of Human Motions and Sentences
    Wataru Takano,Ikuo Kusajima,Yoshihiko Nakamura
    Neural networks : the official journal of the International Neural Network Society（2016）
    It is desirable for robots to be able to linguistically understand human actions during human–robot interactions. Previous research has developed frameworks for encoding human full body motion into model parameters and for classifying motion into specific categories. For full und...
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    Cholinergic Modulation of Sensory Representations in the Olfactory Bulb
    C Linster,TA Cleland
    Neural networks : the official journal of the International Neural Network Society（2002）
    We present a computational model of the mammalian olfactory bulb (OB) designed to investigate how cholinergic inputs modulate olfactory sensory representations. The model integrates experimental data derived from diverse physiological studies of cholinergic modulation of OB circu...
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    A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+
    Peng-Bo Zhang,Zhi-Xin Yang
    Neural networks : the official journal of the International Neural Network Society（2020）
    In school, a teacher plays an important role in various classroom teaching patterns. Likewise to this human learning activity, the learning using privileged information (LUPI) paradigm provides additional information generated by the teacher to ’teach’ learning models during the ...
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    Function Approximation in Inhibitory Networks
    Bryan Tripp,Chris Eliasmith
    Neural networks : the official journal of the International Neural Network Society（2016）
    In performance-optimized artificial neural networks, such as convolutional networks, each neuron makes excitatory connections with some of its targets and inhibitory connections with others. In contrast, physiological neurons are typically either excitatory or inhibitory, not bot...
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    Lifelong Learning of Human Actions with Deep Neural Network Self-Organization
    German I. Parisi,Jun Tani,Cornelius Weber,Stefan Wermter
    Neural networks : the official journal of the International Neural Network Society（2017）
    Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for lifelong learning but rather learn a batch of training data ...
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    Asynchronous Event-Based Corner Detection and Matching
    Xavier Clady,Sio-Hoi Ieng,Ryad Benosman
    Neural networks : the official journal of the International Neural Network Society（2015）
    This paper introduces an event-based luminance-free method to detect and match corner events from the output of asynchronous event-based neuromorphic retinas. The method relies on the use of space-time properties of moving edges. Asynchronous event-based neuromorphic retinas are ...
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    Hebbian Learning in Linear-Nonlinear Networks with Tuning Curves Leads to Near-Optimal, Multi-Alternative Decision Making
    Tyler McMillen,Patrick Simen,Sam Behseta
    Neural networks : the official journal of the International Neural Network Society（2011）
    Optimal performance and physically plausible mechanisms for achieving it have been completely characterized for a general class of two-alternative, free response decision making tasks, and data suggest that humans can implement the optimal procedure. The situation is more complic...
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    A Neuron-Astrocyte Transistor-Like Model for Neuromorphic Dressed Neurons
    G. Valenza,G. Pioggia,A. Armato,M. Ferro,E. P. Scilingo,D. De Rossi
    Neural networks : the official journal of the International Neural Network Society（2011）
    Experimental evidences on the role of the synaptic glia as an active partner together with the bold synapse in neuronal signaling and dynamics of neural tissue strongly suggest to investigate on a more realistic neuron–glia model for better understanding human brain processing. A...
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    Tri-view Two-Photon Microscopic Image Registration and Deblurring with Convolutional Neural Networks
    Sehyung Lee,Hideaki Kume,Hidetoshi Urakubo,Haruo Kasai,Shin Ishii
    Neural networks : the official journal of the International Neural Network Society（2022）
    Two-photon fluorescence microscopy has enabled the three-dimensional (3D) neural imaging of deep cortical regions. While it can capture the detailed neural structures in the x–y image space, the image quality along the depth direction is lower because of lens blur, which often ma...
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    Predicting spike timings of current-injected neurons
    Yasuhiro Tsubo,Takeshi Kaneko,Shigeru Shinomoto
    Neural networks : the official journal of the International Neural Network Society（2004）
    Typical neurospiking models were examined on the ability to reproduce and predict the spike sequences of a biological neuron for a variety of fluctuating currents, using a fixed set of parameter values. The predicting accuracy was found to be particularly good for the Hodgkin-Hux...
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    Semi-dilated Convolutional Neural Networks for Epileptic Seizure Prediction
    Ramy Hussein,Soojin Lee,Rabab Ward,Martin J. McKeown
    Neural networks : the official journal of the International Neural Network Society（2021）
    Epilepsy is a neurological brain disorder that affects ∼75 million people worldwide. Predicting epileptic seizures holds great potential for improving the quality of life of people with epilepsy, but seizure prediction solely from the Electroencephalogram (EEG) is challenging. Cl...
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    New Results on Anti-Synchronization of Switched Neural Networks with Time-Varying Delays and Lag Signals
    Yuting Cao,Shiping Wen,Michael Z. Q. Chen,Tingwen Huang,Zhigang Zeng
    Neural networks : the official journal of the International Neural Network Society（2016）
    This paper investigates the problem of global exponential anti-synchronization of a class of switched neural networks with time-varying delays and lag signals. Considering the packed circuits, the controller is dependent on the output of the system as the inner states are very ha...
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    Subfield variations in hippocampal processing-components of a spatial navigation system
    Matthew Hartley,Neill Taylor,John Taylor
    Neural networks : the official journal of the International Neural Network Society（2005）
    The hippocampus is a part of the brain strongly linked to spatial exploration. Within it exist 'place cells' which fire preferentially when an animal is in certain regions of physical space. Recent research has shown that these place cells and their corresponding representations ...
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    Stability and Synchronization of Fractional-Order Memristive Neural Networks with Multiple Delays
    Liping Chen,Jinde Cao,Ranchao Wu,J. A. Tenreiro Machado,Antonio M. Lopes, Hejun Yang
    Neural networks : the official journal of the International Neural Network Society（2017）
    The paper presents theoretical results on the global asymptotic stability and synchronization of a class of fractional-order memristor-based neural networks (FMNN) with multiple delays. First, the asymptotic stability of fractional-order (FO) linear systems with single or multipl...
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    Node-personalized Multi-Graph Convolutional Networks for Recommendation
    Tiantian Zhou,Hailiang Ye,Feilong Cao
    Neural networks : the official journal of the International Neural Network Society（2024）
    Graph neural networks have revealed powerful potential in ranking recommendation. Existing methods based on bipartite graphs for ranking recommendation mainly focus on homogeneous graphs and usually treat user and item nodes as the same kind of nodes, however, the user-item bipar...
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    Preassigned-time Projective Synchronization of Delayed Fully Quaternion-Valued Discontinuous Neural Networks with Parameter Uncertainties
    Hao Pu,Fengjun Li,Qingyun Wang,Pengzhen Li
    Neural networks : the official journal of the International Neural Network Society（2023）
    This paper concerns with the preassigned-time projective synchronization issue for delayed fully quaternion-valued discontinuous neural networks involving parameter uncertainties through the non-separation method. Above all, based on the existing works, a new preassigned-time sta...
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