AIMC Topic: Neurons

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Cortical Transformation of Spatial Processing for Solving the Cocktail Party Problem: A Computational Model(1,2,3).

eNeuro Feb 2, 2016
In multisource, "cocktail party" sound environments, human and animal auditory systems can use spatial cues to effectively separate and follow one source of sound over competing sources. While mechanisms to extract spatial cues such as interaural tim...
Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Animals Discrimination, Psychological Spatial Processing Acoustic Stimulation Auditory Cortex Sound Localization
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Machine Learning Capabilities of a Simulated Cerebellum.

IEEE transactions on neural networks and learning systems Jan 26, 2016
This paper describes the learning and control capabilities of a biologically constrained bottom-up model of the mammalian cerebellum. Results are presented from six tasks: 1) eyelid conditioning; 2) pendulum balancing; 3) proportional-integral-deriva...
Humans Neural Networks, Computer Cerebellum Reinforcement, Psychology Pattern Recognition, Physiological Conditioning, Eyelid Models, Neurological Postural Balance Neurons Machine Learning Computer Simulation Animals
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Prototype-based models in machine learning.

Wiley interdisciplinary reviews. Cognitive science Jan 21, 2016
An overview is given of prototype-based models in machine learning. In this framework, observations, i.e., data, are stored in terms of typical representatives. Together with a suitable measure of similarity, the systems can be employed in the contex...
Pattern Recognition, Automated Statistics as Topic Computer Simulation Neurons Data Mining Neural Networks, Computer Machine Learning
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Two fast and accurate heuristic RBF learning rules for data classification.

Neural networks : the official journal of the International Neural Network Society Jan 4, 2016
This paper presents new Radial Basis Function (RBF) learning methods for classification problems. The proposed methods use some heuristics to determine the spreads, the centers and the number of hidden neurons of network in such a way that the higher...
Humans Time Factors Neurons Statistics as Topic Computer Heuristics Neural Networks, Computer Machine Learning Algorithms
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FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting.

Computational intelligence and neuroscience Dec 31, 2015
Hardware implementation of artificial neural networks (ANNs) allows exploiting the inherent parallelism of these systems. Nevertheless, they require a large amount of resources in terms of area and power dissipation. Recently, Reservoir Computing (RC...
Models, Neurological Neurons Nonlinear Dynamics Electronic Data Processing Stochastic Processes Forecasting Computer Systems Time Factors Humans Neural Networks, Computer Algorithms
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Using Self-Organizing Neural Network Map Combined with Ward's Clustering Algorithm for Visualization of Students' Cognitive Structural Models about Aliveness Concept.

Computational intelligence and neuroscience Dec 27, 2015
We propose an approach to clustering and visualization of students' cognitive structural models. We use the self-organizing map (SOM) combined with Ward's clustering to conduct cluster analysis. In the study carried out on 100 subjects, a conceptual ...
Students Cognition Cluster Analysis Neural Networks, Computer Artificial Intelligence Algorithms Concept Formation Self-Control Models, Neurological Neurons Comprehension Humans
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Why do some neurons in cortex respond to information in a selective manner? Insights from artificial neural networks.

Cognition Dec 24, 2015
Why do some neurons in hippocampus and cortex respond to information in a highly selective manner? It has been hypothesized that neurons in hippocampus encode information in a highly selective manner in order to support fast learning without catastro...
Neurons Hippocampus Cerebral Cortex Neural Networks, Computer Computer Simulation Learning Humans
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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 ...
Animals Transcriptome Single-Cell Analysis Sequence Analysis, RNA Transcription Factors Robotics Gene Targeting Drosophila melanogaster Cell Lineage Gene Expression Regulation, Developmental Neurons Animals, Genetically Modified Drosophila Proteins
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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...
Neurons Nerve Net Humans Neural Networks, Computer Animals Models, Neurological Algorithms Computer Simulation
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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...
Models, Neurological Action Potentials Neurons Synapses Memory Association Learning Neural Networks, Computer Brain Computer Simulation Humans
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