AIMC Topic:
Neurons

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Transcriptomes of lineage-specific Drosophila neuroblasts profiled by genetic targeting and robotic sorting.

Development (Cambridge, England) Dec 23, 2015
A brain consists of numerous distinct neurons arising from a limited number of progenitors, called neuroblasts in Drosophila. Each neuroblast produces a specific neuronal lineage. To unravel the transcriptional networks that underlie the development ...
Sequence Analysis, RNA Transcription Factors Robotics Neurons Animals Transcriptome Single-Cell Analysis Gene Expression Regulation, Developmental Gene Targeting Animals, Genetically Modified Drosophila Proteins Drosophila melanogaster Cell Lineage
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Effect of edge pruning on structural controllability and observability of complex networks.

Scientific reports Dec 17, 2015
Controllability and observability of complex systems are vital concepts in many fields of science. The network structure of the system plays a crucial role in determining its controllability and observability. Because most naturally occurring complex...
Humans Neural Networks, Computer Models, Neurological Algorithms Neurons Computer Simulation Nerve Net Animals
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Memory Stacking in Hierarchical Networks.

Neural computation Dec 14, 2015
Robust representations of sounds with a complex spectrotemporal structure are thought to emerge in hierarchically organized auditory cortex, but the computational advantage of this hierarchy remains unknown. Here, we used computational models to stud...
Memory Association Learning Neural Networks, Computer Humans Brain Models, Neurological Computer Simulation Action Potentials Neurons Synapses
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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 Neuronal Plasticity Neurons Nonlinear Dynamics Adaptation, Physiological Humans Neural Networks, Computer
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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 ...
Neural Networks, Computer Neurons Neuronal Plasticity Biomimetics Humans Machine Learning Information Storage and Retrieval Models, Neurological Computer Simulation Nerve Net Action Potentials Learning 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 Models, Neurological Neural Inhibition Humans Dose-Response Relationship, Drug Membrane Potentials Neural Networks, Computer Neurons Cerebral Cortex
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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...
Neurons Neural Networks, Computer Machine Learning Algorithms Data Interpretation, Statistical
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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 ...
Signal Processing, Computer-Assisted Neurons Synapses Maze Learning Problem Solving Behavior Reinforcement, Psychology Machine Learning Neurosciences Algorithms Neural Networks, Computer Computer Simulation Artificial Intelligence Neuronal Plasticity
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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...
Animals Implantable Neurostimulators Neurons Electric Stimulation Ventral Thalamic Nuclei Motor Activity Male Rats, Sprague-Dawley Robotics
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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...
Basidiomycota Neuroprotective Agents Fruiting Bodies, Fungal Apoptosis Cell Line, Tumor Polyphenols Gene Expression Regulation, Enzymologic Biological Products Ethnopharmacology Nerve Tissue Proteins Oxidative Stress Oxidoreductases Medicine, Korean Traditional Humans Acetates Antioxidants Phellinus Brain Polysaccharides Plant Extracts Republic of Korea Neurons Solvents MAP Kinase Signaling System
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