AIMC Topic: Memory

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Learning to activate logic rules for textual reasoning.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2018
Most current textual reasoning models cannotlearn human-like reasoning process, and thus lack interpretability and logical accuracy. To help address this issue, we propose a novel reasoning model which learns to activate logic rules explicitly via de...
Humans Logic Memory Problem Solving Learning Decision Making Artificial Intelligence
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Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data.

Neuron Jun 14, 2018
The attractor neural network scenario is a popular scenario for memory storage in the association cortex, but there is still a large gap between models based on this scenario and experimental data. We study a recurrent network model in which both lea...
Temporal Lobe Association Learning Neuronal Plasticity Memory Learning Animals Neural Networks, Computer
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Runtime Programmable and Memory Bandwidth Optimized FPGA-Based Coprocessor for Deep Convolutional Neural Network.

IEEE transactions on neural networks and learning systems Apr 9, 2018
The deep convolutional neural network (DCNN) is a class of machine learning algorithms based on feed-forward artificial neural network and is widely used for image processing applications. Implementation of DCNN in real-world problems needs high comp...
Algorithms Computer Simulation Models, Neurological Machine Learning Software Signal Processing, Computer-Assisted Memory Humans Neural Networks, Computer
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Spiking neural networks for handwritten digit recognition-Supervised learning and network optimization.

Neural networks : the official journal of the International Neural Network Society Apr 6, 2018
We demonstrate supervised learning in Spiking Neural Networks (SNNs) for the problem of handwritten digit recognition using the spike triggered Normalized Approximate Descent (NormAD) algorithm. Our network that employs neurons operating at sparse bi...
Humans Neural Networks, Computer Algorithms Memory Supervised Machine Learning Handwriting Databases, Factual Neurons Learning Pattern Recognition, Automated
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GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2018
Although deep neural networks (DNNs) are being a revolutionary power to open up the AI era, the notoriously huge hardware overhead has challenged their applications. Recently, several binary and ternary networks, in which the costly multiply-accumula...
Magnetic Resonance Imaging Neurons Memory Neural Networks, Computer Algorithms Support Vector Machine
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Cognitive sequelae of endocrine therapy in women treated for breast cancer: a meta-analysis.

Breast cancer research and treatment Dec 20, 2017
PURPOSE: Evidence suggests anti-estrogen endocrine therapy (ET) is associated with adverse cognitive effects; however, findings are based on small samples and vary in the cognitive abilities affected. We conducted a meta-analysis to quantitatively sy...
Verbal Learning Cognition Disorders Breast Neoplasms Neuropsychological Tests Humans Aromatase Inhibitors Antineoplastic Agents, Hormonal Memory Female Cross-Sectional Studies Cognition
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Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials.

Journal of cognitive neuroscience Dec 6, 2017
Modern multivariate methods have enabled the application of unsupervised techniques to analyze neurophysiological data without strict adherence to predefined experimental conditions. We demonstrate a multivariate method that leverages priming effects...
Memory Evoked Potentials Humans Algorithms Young Adult Brain Signal Processing, Computer-Assisted Female Middle Aged Electroencephalography Adult Cluster Analysis Semantics Unsupervised Machine Learning Male
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Impact of leakage delay on bifurcation in high-order fractional BAM neural networks.

Neural networks : the official journal of the International Neural Network Society Dec 6, 2017
The effects of leakage delay on the dynamics of neural networks with integer-order have lately been received considerable attention. It has been confirmed that fractional neural networks more appropriately uncover the dynamical properties of neural n...
Algorithms Time Factors Neural Networks, Computer Memory
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pth moment exponential stability of stochastic memristor-based bidirectional associative memory (BAM) neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Nov 24, 2017
Stochastic memristor-based bidirectional associative memory (BAM) neural networks with time delays play an increasingly important role in the design and implementation of neural network systems. Under the framework of Filippov solutions, the issues o...
Algorithms Time Factors Memory Neural Networks, Computer Stochastic Processes
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The Wisdom of Networks: A General Adaptation and Learning Mechanism of Complex Systems: The Network Core Triggers Fast Responses to Known Stimuli; Innovations Require the Slow Network Periphery and Are Encoded by Core-Remodeling.

BioEssays : news and reviews in molecular, cellular and developmental biology Nov 23, 2017
I hypothesize that re-occurring prior experience of complex systems mobilizes a fast response, whose attractor is encoded by their strongly connected network core. In contrast, responses to novel stimuli are often slow and require the weakly connecte...
Memory Adaptation, Physiological Neural Networks, Computer Humans Models, Biological Neurons Artificial Intelligence Learning
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