AIMC Topic: Nerve Net

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Percept-related EEG classification using machine learning approach and features of functional brain connectivity.

Chaos (Woodbury, N.Y.) Sep 1, 2019
Machine learning is a promising approach for electroencephalographic (EEG) trials classification. Its efficiency is largely determined by the feature extraction and selection techniques reducing the dimensionality of input data. Dimensionality reduct...
Humans Machine Learning Male Electroencephalography Nerve Net Brain Female Adult
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Cocaine-Induced Preference Conditioning: a Machine Vision Perspective.

Neuroinformatics Jul 1, 2019
Existing work on drug-induced synaptic changes has shown that the expression of perineuronal nets (PNNs) at the cerebellar cortex can be regulated by cocaine-related memory. However, these studies on animals have mostly relied on limited manually-dri...
Cocaine Conditioning, Classical Cocaine-Related Disorders Machine Learning Animals Male Mice Neuronal Plasticity Nerve Net
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General audio tagging with ensembling convolutional neural networks and statistical features.

The Journal of the Acoustical Society of America Jun 1, 2019
Audio tagging aims to infer descriptive labels from audio clips and it is challenging due to the limited size of data and noisy labels. The solution to the tagging task is described in this paper. The main contributions include the following: an ense...
Humans Deep Learning Biometry Nerve Net Neural Networks, Computer Skin Neoplasms
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Connectome-based individualized prediction of loneliness.

Social cognitive and affective neuroscience May 17, 2019
Loneliness is an increasingly prevalent condition linking with enhanced morbidity and premature mortality. Despite recent proposal on medicalization of loneliness, so far no effort has been made to establish a model capable of predicting loneliness a...
Adolescent Magnetic Resonance Imaging Emotions Young Adult Male Extraversion, Psychological Neuroticism Connectome Nerve Net Loneliness Humans Machine Learning Brain Female
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Neural population control via deep image synthesis.

Science (New York, N.Y.) May 3, 2019
Particular deep artificial neural networks (ANNs) are today's most accurate models of the primate brain's ventral visual stream. Using an ANN-driven image synthesis method, we found that luminous power patterns (i.e., images) can be applied to primat...
Macaca Visual Fields Nerve Net Visual Cortex Models, Neurological Neurons Neural Networks, Computer Animals
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Stability properties of neural networks with non-instantaneous impulses.

Mathematical biosciences and engineering : MBE Feb 18, 2019
In this paper, we consider neural networks in the case when the neurons are subject to a certain impulsive state displacement at fixed moments and the duration of this displacement is not negligible small (these are known as non-instantaneous impulse...
Models, Biological Neurons Nonlinear Dynamics Pattern Recognition, Automated Nerve Net Humans Brain Computer Simulation Time Factors Neural Networks, Computer Algorithms
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Computing of temporal information in spiking neural networks with ReRAM synapses.

Faraday discussions Feb 18, 2019
Resistive switching random-access memory (ReRAM) is a two-terminal device based on ion migration to induce resistance switching between a high resistance state (HRS) and a low resistance state (LRS). ReRAM is considered one of the most promising tech...
Synapses Computer Simulation Humans Nerve Net Information Storage and Retrieval Learning Neural Networks, Computer Pattern Recognition, Automated Animals Algorithms
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Closed-Loop Systems and In Vitro Neuronal Cultures: Overview and Applications.

Advances in neurobiology Jan 1, 2019
One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the inter...
Neurons Brain Humans Nerve Net Cell Culture Techniques In Vitro Techniques Neural Networks, Computer Robotics
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Superstitious Perception: Comparing Perceptual Prediction by Humans and Neural Networks.

Current topics in behavioral neurosciences Jan 1, 2019
Recent developments in convolutional neural networks (CNNs) have introduced new ways to model the complex processes of human vision. To date, the comparison of human vision and CNNs has focused on internal representations (i.e., receptive fields), wi...
Memory Superstitions Humans Task Performance and Analysis Neural Networks, Computer Nerve Net
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Deeper learning.

Nature medicine Jan 1, 2019
Humans Deep Learning Algorithms Nerve Net Mental Disorders Brain
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