AIMC Topic: Models, Neurological

Clear Filters Showing 911 to 920 of 1163 articles

Maximum margin semi-supervised learning with irrelevant data.

Neural networks : the official journal of the International Neural Network Society Jul 15, 2015
Semi-supervised learning (SSL) is a typical learning paradigms training a model from both labeled and unlabeled data. The traditional SSL models usually assume unlabeled data are relevant to the labeled data, i.e., following the same distributions of...
Image Processing, Computer-Assisted Support Vector Machine Models, Neurological Artificial Intelligence Algorithms Supervised Machine Learning Entropy Models, Statistical Data Interpretation, Statistical
View on PubMed DOI

Leveraging anatomical information to improve transfer learning in brain-computer interfaces.

Journal of neural engineering Jul 14, 2015
OBJECTIVE: Brain-computer interfaces (BCIs) represent a technology with the potential to rehabilitate a range of traumatic and degenerative nervous system conditions but require a time-consuming training process to calibrate. An area of BCI research ...
Machine Learning Cerebral Cortex Algorithms Humans Computer Simulation Models, Anatomic Models, Neurological Information Storage and Retrieval Brain Mapping Pattern Recognition, Automated Brain-Computer Interfaces Electroencephalography
View on PubMed DOI

Employing TDMA Protocol in Neural Nanonetworks in Case of Neuron Specific Faults.

IEEE transactions on nanobioscience Jul 1, 2015
Many neurodegenerative diseases arise from the malfunctioning neurons in the pathway where the signal is carried. In this paper, we propose neuron specific TDMA/multiplexing and demultiplexing mechanisms to convey the spikes of a receptor neuron over...
Humans Neurons Electronics Nanotechnology Neural Networks, Computer Models, Neurological Action Potentials
View on PubMed DOI

Controlling legs for locomotion-insights from robotics and neurobiology.

Bioinspiration & biomimetics Jun 29, 2015
Walking is the most common terrestrial form of locomotion in animals. Its great versatility and flexibility has led to many attempts at building walking machines with similar capabilities. The control of walking is an active research area both in neu...
Models, Neurological Muscle, Skeletal Robotics Equipment Design Biomimetics Feedback, Physiological Humans Muscle Contraction Neurobiology Feedback Locomotion Animals Equipment Failure Analysis Leg
View on PubMed DOI

The straintronic spin-neuron.

Nanotechnology Jun 26, 2015
In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient implementation is a 'spin-neuron' realized with a magneto-tunneling junction (MTJ) that is switched with...
Electricity Energy Transfer Neurons Nanotechnology Temperature Models, Theoretical Models, Neurological Action Potentials Magnetite Nanoparticles Magnetic Phenomena Neural Networks, Computer
View on PubMed DOI

Complex Learning in Bio-plausible Memristive Networks.

Scientific reports Jun 19, 2015
The emerging memristor-based neuromorphic engineering promises an efficient computing paradigm. However, the lack of both internal dynamics in the previous feedforward memristive networks and efficient learning algorithms in recurrent networks, funda...
Neural Networks, Computer Machine Learning Algorithms Brain Models, Theoretical Models, Neurological Humans
View on PubMed DOI

Learning Orthographic Structure With Sequential Generative Neural Networks.

Cognitive science Jun 14, 2015
Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though ...
Learning Cognition Models, Neurological Humans Neural Networks, Computer Language Stochastic Processes
View on PubMed DOI

Simple Algorithms for Distributed Leader Election in Anonymous Synchronous Rings and Complete Networks Inspired by Neural Development in Fruit Flies.

International journal of neural systems May 26, 2015
Leader election in anonymous rings and complete networks is a very practical problem in distributed computing. Previous algorithms for this problem are generally designed for a classical message passing model where complex messages are exchanged. How...
Cell Communication Animals Neural Networks, Computer Drosophila Time Factors Algorithms Models, Neurological
View on PubMed DOI

Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series.

Neural networks : the official journal of the International Neural Network Society May 15, 2015
Fuel efficient Homogeneous Charge Compression Ignition (HCCI) engine combustion timing predictions must contend with non-linear chemistry, non-linear physics, period doubling bifurcation(s), turbulent mixing, model parameters that can drift day-to-da...
Gasoline Nonlinear Dynamics Vehicle Emissions Machine Learning Algorithms Support Vector Machine Models, Neurological
View on PubMed DOI

Learning Slowness in a Sparse Model of Invariant Feature Detection.

Neural computation May 14, 2015
Primary visual cortical complex cells are thought to serve as invariant feature detectors and to provide input to higher cortical areas. We propose a single model for learning the connectivity required by complex cells that integrates two factors tha...
Humans Machine Learning Visual Perception Models, Neurological Learning Neurons Visual Cortex Eye Movements Markov Chains Time Factors
View on PubMed DOI
Popular Topics
Recent Journals