AIMC Topic: Photic Stimulation
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Convolutional neural network models of V1 responses to complex patterns.
Journal of computational neuroscience
Jun 5, 2018
In this study, we evaluated the convolutional neural network (CNN) method for modeling V1 neurons of awake macaque monkeys in response to a large set of complex pattern stimuli. CNN models outperformed all the other baseline models, such as Gabor-bas...
A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition.
IEEE transactions on neural networks and learning systems
Jun 5, 2018
This paper deals with sparse signal reconstruction by designing a discrete-time projection neural network. Sparse signal reconstruction can be converted into an L -minimization problem, which can also be changed into the unconstrained basis pursuit d...
Fitting of dynamic recurrent neural network models to sensory stimulus-response data.
Journal of biological physics
Jun 2, 2018
We present a theoretical study aiming at model fitting for sensory neurons. Conventional neural network training approaches are not applicable to this problem due to lack of continuous data. Although the stimulus can be considered as a smooth time-de...
Sharpening of Hierarchical Visual Feature Representations of Blurred Images.
eNeuro
May 8, 2018
The robustness of the visual system lies in its ability to perceive degraded images. This is achieved through interacting bottom-up, recurrent, and top-down pathways that process the visual input in concordance with stored prior information. The inte...
Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach.
IEEE transactions on neural networks and learning systems
May 2, 2018
We present here a learning system using the iCub humanoid robot and the SpiNNaker neuromorphic chip to solve the real-world task of object-specific attention. Integrating spiking neural networks with robots introduces considerable complexity for ques...
Computational mechanisms underlying cortical responses to the affordance properties of visual scenes.
PLoS computational biology
Apr 23, 2018
Biologically inspired deep convolutional neural networks (CNNs), trained for computer vision tasks, have been found to predict cortical responses with remarkable accuracy. However, the internal operations of these models remain poorly understood, and...
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.
Neural networks : the official journal of the International Neural Network Society
Apr 16, 2018
Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an open challenge. This paper presents a novel neuron model of a locust looming detector, i.e. the lobula giant movement detector (LGMD1), in order to p...
Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI.
International journal of neural systems
Apr 12, 2018
Although robot technology has been successfully used to empower people who suffer from motor disabilities to increase their interaction with their physical environment, it remains a challenge for individuals with severe motor impairment, who do not h...
A nonnegative matrix factorization algorithm based on a discrete-time projection neural network.
Neural networks : the official journal of the International Neural Network Society
Mar 20, 2018
This paper presents an algorithm for nonnegative matrix factorization based on a biconvex optimization formulation. First, a discrete-time projection neural network is introduced. An upper bound of its step size is derived to guarantee the stability ...
Learning from label proportions on high-dimensional data.
Neural networks : the official journal of the International Neural Network Society
Mar 20, 2018
Learning from label proportions (LLP), in which the training data is in the form of bags and only the proportion of each class in each bag is available, has attracted wide interest in machine learning. However, how to solve high-dimensional LLP probl...
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