AIMC Topic: Neurons

Clear Filters Showing 1141 to 1150 of 1395 articles

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...
Algorithms Reproducibility of Results Models, Neurological Neural Networks, Computer Benchmarking Neurons Normal Distribution Bayes Theorem Discriminant Analysis Action Potentials
View on PubMed DOI

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 Computer Simulation Algorithms Learning
View on PubMed DOI

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.
Adult ROC Curve Neurons Analysis of Variance Cluster Analysis Humans Neural Networks, Computer Dendrites Dentate Gyrus
View on PubMed DOI

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 Humans Learning Neurons Neural Networks, Computer Reading Cognitive Science Language Development
View on PubMed DOI

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...
Pattern Recognition, Physiological Motivation Auditory Pathways Humans Neural Networks, Computer Machine Learning Models, Neurological Action Potentials Speech Neurons
View on PubMed DOI

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 Neurons Nonlinear Dynamics Humans Neural Networks, Computer Models, Neurological Action Potentials Computer Simulation
View on PubMed DOI

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...
Neurons Nonlinear Dynamics Nerve Net Models, Neurological Action Potentials Neural Networks, Computer Computer Simulation Humans
View on PubMed DOI

Deep and shallow architecture of multilayer neural networks.

IEEE transactions on neural networks and learning systems Jan 15, 2015
This paper focuses on the deep and shallow architecture of multilayer neural networks (MNNs). The demonstration of whether or not an MNN can be replaced by another MNN with fewer layers is equivalent to studying the topological conjugacy of its hidde...
Neurons Nerve Net Models, Neurological Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Effects of long-term representations on free recall of unrelated words.

Learning & memory (Cold Spring Harbor, N.Y.) Jan 15, 2015
Human memory stores vast amounts of information. Yet recalling this information is often challenging when specific cues are lacking. Here we consider an associative model of retrieval where each recalled item triggers the recall of the next item base...
Memory, Long-Term Adolescent Neural Networks, Computer Models, Neurological Young Adult Neurons Models, Statistical Adult Mental Recall Humans
View on PubMed DOI

Memristor-based multilayer neural networks with online gradient descent training.

IEEE transactions on neural networks and learning systems Jan 14, 2015
Learning in multilayer neural networks (MNNs) relies on continuous updating of large matrices of synaptic weights by local rules. Such locality can be exploited for massive parallelism when implementing MNNs in hardware. However, these update rules r...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Neurons Synapses Computer Simulation Learning Algorithms Online Systems
View on PubMed DOI
Popular Topics
Recent Journals