AIMC Topic: Neurons

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Neuroplasticity in dynamic neural networks comprised of neurons attached to adaptive base plate.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2015
In this paper, a learning algorithm is developed for Dynamic Plastic Continuous Neural Networks (DPCNNs) to improve their learning of highly nonlinear time dependent problems. A DPCNN is comprised of a base medium, which is nonlinear and plastic, and...
Algorithms Brain Computer Simulation Nonlinear Dynamics Adaptation, Physiological Humans Neuronal Plasticity Neural Networks, Computer Neurons
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Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.

PLoS computational biology Dec 3, 2015
The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory areas such as visual area V1, but they can also be ...
Computer Simulation Learning Neuronal Plasticity Humans Neural Networks, Computer Machine Learning Neurons Biomimetics Models, Neurological Information Storage and Retrieval Action Potentials Nerve Net Signal Processing, Computer-Assisted
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Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition.

Neural computation Nov 24, 2015
Variability is a prominent characteristic of cognitive brain function. For instance, different trials of presentation of the same stimulus yield higher variability in its perception: subjects sometimes fail in perceiving the same stimulus. Perceptual...
gamma-Aminobutyric Acid Nerve Net Neural Inhibition Membrane Potentials Dose-Response Relationship, Drug Neurons Cerebral Cortex Humans Neural Networks, Computer Models, Neurological
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MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning.

Computational intelligence and neuroscience Nov 22, 2015
Artificial neural networks (ANNs) have been widely used in pattern recognition and classification applications. However, ANNs are notably slow in computation especially when the size of data is large. Nowadays, big data has received a momentum from b...
Algorithms Data Interpretation, Statistical Neurons Neural Networks, Computer Machine Learning
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Behavioral plasticity through the modulation of switch neurons.

Neural networks : the official journal of the International Neural Network Society Nov 12, 2015
A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by utilizing artificial neural ...
Neural Networks, Computer Computer Simulation Neurons Reinforcement, Psychology Artificial Intelligence Problem Solving Neuronal Plasticity Machine Learning Synapses Behavior Neurosciences Signal Processing, Computer-Assisted Algorithms Maze Learning
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A novel turning behavior control method for rat-robot through the stimulation of ventral posteromedial thalamic nucleus.

Behavioural brain research Nov 11, 2015
The concept of a rat-robot was initially introduced in 2002, bringing to the field, a novel area of research using modern research into neuroscience and robotics. This paper brings to the table, a study into the method best used for navigation system...
Male Rats, Sprague-Dawley Robotics Neurons Animals Ventral Thalamic Nuclei Electric Stimulation Motor Activity Implantable Neurostimulators
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Neuroprotective effects of the Phellinus linteus ethyl acetate extract against H2O2-induced apoptotic cell death of SK-N-MC cells.

Nutrition research (New York, N.Y.) Nov 11, 2015
Numerous studies have suggested that neuronal cells are protected against oxidative stress-induced cell damage by antioxidants, such as polyphenolic compounds. Phellinus linteus (PL) has traditionally been used to treat various symptoms in East Asian...
Plant Extracts Medicine, Korean Traditional Neuroprotective Agents Phellinus Apoptosis Gene Expression Regulation, Enzymologic Polysaccharides MAP Kinase Signaling System Nerve Tissue Proteins Oxidoreductases Cell Line, Tumor Neurons Acetates Basidiomycota Ethnopharmacology Oxidative Stress Biological Products Solvents Fruiting Bodies, Fungal Humans Antioxidants Polyphenols Brain Republic of Korea
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Coherent and intermittent ensemble oscillations emerge from networks of irregular spiking neurons.

Journal of neurophysiology Nov 11, 2015
Local field potential (LFP) recordings from spatially distant cortical circuits reveal episodes of coherent gamma oscillations that are intermittent, and of variable peak frequency and duration. Concurrently, single neuron spiking remains largely irr...
Cerebral Cortex Neural Pathways Interneurons Models, Neurological Action Potentials Neurons Neural Networks, Computer Pyramidal Cells Animals Humans Gamma Rhythm
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Stability of discrete time recurrent neural networks and nonlinear optimization problems.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2015
We consider the method of Reduction of Dissipativity Domain to prove global Lyapunov stability of Discrete Time Recurrent Neural Networks. The standard and advanced criteria for Absolute Stability of these essentially nonlinear systems produce rather...
Neural Networks, Computer Nonlinear Dynamics Algorithms Neurons
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Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits.

IEEE transactions on neural networks and learning systems Oct 26, 2015
Associative memories are data structures that allow retrieval of previously stored messages given part of their content. They, thus, behave similarly to the human brain's memory that is capable, for instance, of retrieving the end of a song, given it...
Neurons Statistics as Topic Humans Neural Networks, Computer Artificial Intelligence
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