AIMC Topic:
Neurons

Clear Filters Showing 1311 to 1320 of 1335 articles

[Thalamocortical Neural Mass Model Simulation and Study Based on Field Programmable Gate Array].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 1, 2016
Using the computer to imitate the neural oscillations of the brain is of great significance for the analysis of brain functions.Thalamocortical neural mass model(TNMM)reflects the mechanisms of neural activities by establishing the relationships betw...
Neural Networks, Computer Algorithms Brain Humans Signal Processing, Computer-Assisted Neurons Molecular Weight Computer Simulation Models, Neurological Electroencephalography
View on PubMed

A supervised learning rule for classification of spatiotemporal spike patterns.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This study introduces a novel supervised algorithm for spiking neurons that take into consideration synapse delays and axonal delays associated with weights. It can be utilized for both classification and association and uses several biologically inf...
Action Potentials Supervised Machine Learning Neurons Algorithms Models, Neurological Synapses
View on PubMed DOI

Multi-chip dataflow architecture for massive scale biophysically accurate neuron simulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
State-of-the-art neuron simulators are capable of simulating at most few tens/hundreds of neurons in real-time due to the exponential growth in the communication costs with the number of simulated neurons. In this paper, we present a novel, reconfigu...
Computer Simulation Animals Models, Biological Humans Neural Networks, Computer Biophysics Neurons Nerve Net
View on PubMed DOI

Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This study proposes a Cross-Correlated Delay Shift (CCDS) supervised learning rule to train neurons with associated spatiotemporal patterns to classify spike patterns. The objective of this study was to evaluate the feasibility of using the CCDS rule...
Neurons Machine Learning Action Potentials Humans Algorithms Electroencephalography Models, Theoretical Epilepsy Neural Networks, Computer
View on PubMed DOI

Arrangement and Applying of Movement Patterns in the Cerebellum Based on Semi-supervised Learning.

Cerebellum (London, England) Jun 1, 2016
Biological control systems have long been studied as a possible inspiration for the construction of robotic controllers. The cerebellum is known to be involved in the production and learning of smooth, coordinated movements. Therefore, highly regular...
Models, Neurological Supervised Machine Learning Neurons Cerebellum Humans Movement
View on PubMed DOI

Storing Sequences in Binary Tournament-Based Neural Networks.

IEEE transactions on neural networks and learning systems May 1, 2016
An extension to a recently introduced architecture of clique-based neural networks is presented. This extension makes it possible to store sequences with high efficiency. To obtain this property, network connections are provided with orientation and ...
Models, Neurological Neurons Neural Networks, Computer Computer Simulation
View on PubMed DOI

Synaptic Mechanisms of Memory Consolidation during Sleep Slow Oscillations.

The Journal of neuroscience : the official journal of the Society for Neuroscience Apr 13, 2016
UNLABELLED: Sleep is critical for regulation of synaptic efficacy, memories, and learning. However, the underlying mechanisms of how sleep rhythms contribute to consolidating memories acquired during wakefulness remain unclear. Here we studied the ro...
Electroencephalography Neurons Synapses Sleep Calcium Channels Humans Sodium Channels Computer Simulation Memory Cerebral Cortex Neural Networks, Computer Neuronal Plasticity Thalamus Algorithms Models, Neurological
View on PubMed DOI

Robots record brain activity inside neurons.

Nature Apr 7, 2016
Brain Animals Imaging, Three-Dimensional Research Personnel Patch-Clamp Techniques Robotics Neurons Automation
View on PubMed DOI

Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons.

Neuroinformatics Apr 1, 2016
Digital reconstruction of neuronal cell morphology is an important step toward understanding the functionality of neuronal networks. Neurons are tree-like structures whose description depends critically on the junctions and terminations, collectively...
Animals Humans Models, Neurological Image Processing, Computer-Assisted Algorithms Microscopy, Fluorescence Fuzzy Logic Neurons
View on PubMed DOI

Homeostatic Activity-Dependent Tuning of Recurrent Networks for Robust Propagation of Activity.

The Journal of neuroscience : the official journal of the Society for Neuroscience Mar 30, 2016
UNLABELLED: Developing neuronal networks display spontaneous bursts of action potentials that are necessary for circuit organization and tuning. While spontaneous activity has been shown to instruct map formation in sensory circuits, it is unknown wh...
Nerve Net Models, Neurological Computer Simulation Humans Action Potentials Animals Periodicity Neurons Neural Networks, Computer Neuronal Plasticity Locomotion Homeostasis
View on PubMed DOI
Popular Topics
Recent Journals