AIMC Topic:
Neurons

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Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites.

Neural computation Mar 3, 2015
This letter presents a spike-based model that employs neurons with functionally distinct dendritic compartments for classifying high-dimensional binary patterns. The synaptic inputs arriving on each dendritic subunit are nonlinearly processed before ...
Algorithms Animals Support Vector Machine Nonlinear Dynamics Synapses Dendrites Models, Neurological Action Potentials Neurons
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Artificial neuron-glia networks learning approach based on cooperative coevolution.

International journal of neural systems Feb 26, 2015
Artificial Neuron-Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way information is processed by neural and...
Genetics Neurons Neuroglia Humans Neural Networks, Computer Algorithms Learning
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Designing responsive pattern generators: stable heteroclinic channel cycles for modeling and control.

Bioinspiration & biomimetics Feb 25, 2015
A striking feature of biological pattern generators is their ability to respond immediately to multisensory perturbations by modulating the dwell time at a particular phase of oscillation, which can vary force output, range of motion, or other charac...
Humans Neural Networks, Computer Action Potentials Models, Statistical Neurons Computer Simulation Animals Models, Neurological Central Pattern Generators Biomimetics Feedback, Physiological
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Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.

Journal of computational neuroscience Feb 5, 2015
Spike sorting, i.e., the separation of the firing activity of different neurons from extracellular measurements, is a crucial but often error-prone step in the analysis of neuronal responses. Usually, three different problems have to be solved: the d...
Neurons Reproducibility of Results Normal Distribution Models, Neurological Action Potentials Neural Networks, Computer Bayes Theorem Algorithms Discriminant Analysis Benchmarking
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Training spiking neural models using artificial bee colony.

Computational intelligence and neuroscience Feb 1, 2015
Spiking neurons are models designed to simulate, in a realistic manner, the behavior of biological neurons. Recently, it has been proven that this type of neurons can be applied to solve pattern recognition problems with great efficiency. However, th...
Neurons Neural Networks, Computer Algorithms Computer Simulation Learning
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Neurons from the adult human dentate nucleus: neural networks in the neuron classification.

Journal of theoretical biology Jan 30, 2015
OBJECTIVES: Topological (central vs. border neuron type) and morphological classification of adult human dentate nucleus neurons according to their quantified histomorphological properties using neural networks on real and virtual neuron samples.
ROC Curve Cluster Analysis Neurons Analysis of Variance Dendrites Humans Neural Networks, Computer Adult Dentate Gyrus
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Connectionist perspectives on language learning, representation and processing.

Wiley interdisciplinary reviews. Cognitive science Jan 30, 2015
The field of formal linguistics was founded on the premise that language is mentally represented as a deterministic symbolic grammar. While this approach has captured many important characteristics of the world's languages, it has also led to a tende...
Speech Perception Language Development Humans Learning Reading Neural Networks, Computer Neurons Cognitive Science
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A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition.

IEEE transactions on neural networks and learning systems Jan 27, 2015
This paper presents a bioinspired digital liquid-state machine (LSM) for low-power very-large-scale-integration (VLSI)-based machine learning applications. To the best of the authors' knowledge, this is the first work that employs a bioinspired spike...
Auditory Pathways Pattern Recognition, Physiological Humans Neural Networks, Computer Machine Learning Action Potentials Speech Neurons Models, Neurological Motivation
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A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony.

Journal of computational neuroscience Jan 21, 2015
In this paper we provide a general methodology for systematically reducing the dynamics of a class of integrate-and-fire networks down to an augmented 4-dimensional system of ordinary-differential-equations. The class of integrate-and-fire networks w...
Nerve Net Action Potentials Humans Neurons Nonlinear Dynamics Neural Networks, Computer Computer Simulation Models, Neurological
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Spontaneous motion on two-dimensional continuous attractors.

Neural computation Jan 20, 2015
Attractor models are simplified models used to describe the dynamics of firing rate profiles of a pool of neurons. The firing rate profile, or the neuronal activity, is thought to carry information. Continuous attractor neural networks (CANNs) descri...
Action Potentials Neural Networks, Computer Computer Simulation Neurons Humans Models, Neurological Nerve Net Nonlinear Dynamics
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