AIMC Topic: Action Potentials

Clear Filters Showing 331 to 340 of 521 articles

Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2018
Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an open challenge. This paper presents a novel neuron model of a locust looming detector, i.e. the lobula giant movement detector (LGMD1), in order to p...
Neurons Vision, Ocular Photic Stimulation Animals Models, Neurological Action Potentials Adaptation, Physiological Motion Perception Grasshoppers Neural Networks, Computer
View on PubMed DOI

Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request.

International journal of neural systems Apr 2, 2018
Spiking neural P systems are a class of third generation neural networks belonging to the framework of membrane computing. Spiking neural P systems with communication on request (SNQ P systems) are a type of spiking neural P system where the spikes a...
Neural Networks, Computer Animals Action Potentials Neurons
View on PubMed DOI

Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 15, 2018
Network oscillations across and within brain areas are critical for learning and performance of memory tasks. While a large amount of work has focused on the generation of neural oscillations, their effect on neuronal populations' spiking activity an...
Animals Mice Models, Neurological Neural Networks, Computer Computer Simulation Learning Ion Channels Rhodopsin Action Potentials Neurons Nerve Net
View on PubMed DOI

Stabilized supralinear network can give rise to bistable, oscillatory, and persistent activity.

Proceedings of the National Academy of Sciences of the United States of America Mar 12, 2018
A hallmark of cortical circuits is their versatility. They can perform multiple fundamental computations such as normalization, memory storage, and rhythm generation. Yet it is far from clear how such versatility can be achieved in a single circuit, ...
Neural Networks, Computer Models, Neurological Action Potentials Cerebral Cortex Nerve Net Humans
View on PubMed DOI

Multineuron spike train analysis with R-convolution linear combination kernel.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2018
A spike train kernel provides an effective way of decoding information represented by a spike train. Some spike train kernels have been extended to multineuron spike trains, which are simultaneously recorded spike trains obtained from multiple neuron...
Neural Networks, Computer Action Potentials Neurons Brain Animals Models, Neurological
View on PubMed DOI

Biologically Inspired Intensity and Depth Image Edge Extraction.

IEEE transactions on neural networks and learning systems Feb 20, 2018
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot ...
Models, Neurological Action Potentials Neurons Pattern Recognition, Automated Depth Perception Visual Pathways Neural Networks, Computer Virtual Reality Image Processing, Computer-Assisted Humans
View on PubMed DOI

Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout.

Neural networks : the official journal of the International Neural Network Society Jan 12, 2018
Heart-rate estimation is a fundamental feature of modern wearable devices. In this paper we propose a machine learning technique to estimate heart-rate from electrocardiogram (ECG) data collected using wearable devices. The novelty of our approach li...
Unsupervised Machine Learning Neurons Heart Rate Probability Electrocardiography Neuronal Plasticity Action Potentials Humans Algorithms Wearable Electronic Devices
View on PubMed DOI

Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.

Computational and mathematical methods in medicine Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Sodium Programming Languages Myocytes, Cardiac Calcium Action Potentials Arrhythmias, Cardiac Algorithms Risk Models, Statistical Reproducibility of Results Ions Electrophysiology Heart Regression Analysis Humans Observer Variation Electrocardiography Terfenadine Potassium Artificial Intelligence Clinical Trials as Topic Software Anti-Arrhythmia Agents Cell Membrane
View on PubMed DOI

A new approach to detect the coding rule of the cortical spiking model in the information transmission.

Neural networks : the official journal of the International Neural Network Society Jan 3, 2018
Investigation of the role of the local field potential (LFP) fluctuations in encoding the received sensory information by the nervous system remains largely unknown. On the other hand, transmission of these translation rules in information transmissi...
Humans Neural Networks, Computer Neuronal Plasticity Neurons Models, Neurological Synapses Action Potentials
View on PubMed DOI

Multi-neuron intracellular recording in vivo via interacting autopatching robots.

eLife Jan 3, 2018
The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known abo...
Cerebral Cortex Patch-Clamp Techniques Animals Mice Action Potentials Wakefulness Anesthesia Robotics Neurons Automation, Laboratory
View on PubMed DOI
Popular Topics
Recent Journals