AIMC Topic:
Neurons

Clear Filters Showing 1031 to 1040 of 1328 articles

Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.

PloS one Feb 22, 2016
The Semantic Pointer Architecture (SPA) is a proposal of specifying the computations and architectural elements needed to account for cognitive functions. By means of the Neural Engineering Framework (NEF) this proposal can be realized in a spiking n...
Neural Networks, Computer Algorithms Action Potentials Neurons Probability Semantics
View on PubMed DOI

Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality.

Neural computation Feb 18, 2016
A neural network model is presented of novelty detection in the CA1 subdomain of the hippocampal formation from the perspective of information flow. This computational model is restricted on several levels by both anatomical information about hippoca...
Animals Time Factors Models, Neurological Humans Neural Networks, Computer Computer Simulation CA1 Region, Hippocampal Electric Stimulation Biophysics Action Potentials Neurons Nerve Net
View on PubMed DOI

Low-dimensional dynamics of structured random networks.

Physical review. E Feb 5, 2016
Using a generalized random recurrent neural network model, and by extending our recently developed mean-field approach [J. Aljadeff, M. Stern, and T. Sharpee, Phys. Rev. Lett. 114, 088101 (2015)], we study the relationship between the network connect...
Neural Networks, Computer Neurons Synapses Stochastic Processes Ecological and Environmental Phenomena
View on PubMed DOI

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 Discrimination, Psychological Action Potentials Spatial Processing Neurons Humans Neural Networks, Computer Animals Acoustic Stimulation Auditory Cortex Sound Localization
View on PubMed DOI

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...
Reinforcement, Psychology Pattern Recognition, Physiological Conditioning, Eyelid Computer Simulation Animals Models, Neurological Humans Postural Balance Neural Networks, Computer Neurons Machine Learning Cerebellum
View on PubMed DOI

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...
Neural Networks, Computer Machine Learning Computer Simulation Statistics as Topic Neurons Data Mining Pattern Recognition, Automated
View on PubMed DOI

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 Neural Networks, Computer Computer Heuristics Time Factors Neurons Statistics as Topic Machine Learning Algorithms
View on PubMed DOI

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...
Time Factors Algorithms Nonlinear Dynamics Humans Models, Neurological Forecasting Electronic Data Processing Neural Networks, Computer Neurons Stochastic Processes Computer Systems
View on PubMed DOI

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 ...
Self-Control Artificial Intelligence Algorithms Cognition Students Neurons Humans Cluster Analysis Comprehension Models, Neurological Neural Networks, Computer Concept Formation
View on PubMed DOI

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
View on PubMed DOI
Popular Topics
Recent Journals