AI Medical Compendium Topic:
Models, Neurological

Clear Filters Showing 741 to 750 of 1111 articles

Tonic regulation of stationary asynchronous firing of a neural network.

Journal of computational neuroscience
The impact of tonic conductance upon population activity was investigated. An extra tonic transmembrane current through GABA-activated extrasynaptic GABA -receptors was found to control stationary asynchronous firing both quantitatively and qualitat...

An online supervised learning method based on gradient descent for spiking neurons.

Neural networks : the official journal of the International Neural Network Society
The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit a specific spike train encoded by precise firing times of spikes. The gradient-descent-based (GDB) learning methods are widely used and verified...

Neural networks subtract and conquer.

eLife
Two theoretical studies reveal how networks of neurons may behave during reward-based learning.

Predictive control of intersegmental tarsal movements in an insect.

Journal of computational neuroscience
In many animals intersegmental reflexes are important for postural and movement control but are still poorly undesrtood. Mathematical methods can be used to model the responses to stimulation, and thus go beyond a simple description of responses to s...

EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN.

BioMed research international
Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new c...

Edge detection based on Hodgkin-Huxley neuron model simulation.

Cognitive processing
In this paper, we propose a spiking neural network model for edge detection in images. The proposed model is biologically inspired by the mechanisms employed by natural vision systems, more specifically by the biologically fulfilled function of simpl...

ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing.

PLoS computational biology
Creating and running realistic models of neural networks has hitherto been a task for computing professionals rather than experimental neuroscientists. This is mainly because such networks usually engage substantial computational resources, the handl...

Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study.

Neural networks : the official journal of the International Neural Network Society
Persistent irregular activity is defined as elevated irregular neural discharges in the brain in such a way that while the average network activity displays high frequency oscillations, the participating neurons display irregular and low frequency os...

Neuronify: An Educational Simulator for Neural Circuits.

eNeuro
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explain with text and static illustrations. However, few educational apps are available for simulation of ...

Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model.

Neural networks : the official journal of the International Neural Network Society
We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections,...