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EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
TLDR
We introduced a multilayer perceptron neural network (MLPNN) based classification model as a diagnostic decision support mechanism in the epilepsy treatment. Expand
Investigating the performance improvement of HRV Indices in CHF using feature selection methods based on backward elimination and statistical significance
TLDR
In this study, the best combination of short-term heart rate variability (HRV) measures was investigated to distinguish 29 patients with congestive heart failure from 54 healthy subjects in the control group using the leave-one-out cross validation method. Expand
Stochastic resonance on Newman–Watts networks of Hodgkin–Huxley neurons with local periodic driving
Article history: We study the phenomenon of stochastic resonance on Newman-Watts small-world networks consisting of biophysically realistic Hodgkin-Huxley neurons with a tunable intensity ofExpand
Autapse-induced multiple coherence resonance in single neurons and neuronal networks
We study the effects of electrical and chemical autapse on the temporal coherence or firing regularity of single stochastic Hodgkin-Huxley neurons and scale-free neuronal networks. Also, we study theExpand
Social and juristic challenges of artificial intelligence
Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the perfect movie,Expand
Controlling the spontaneous spiking regularity via channel blocking on Newman-Watts networks of Hodgkin-Huxley neurons
We investigate the regularity of spontaneous spiking activity on Newman-Watts small-world networks consisting of biophysically realistic Hodgkin-Huxley neurons with a tunable intensity of intrinsicExpand
Spike latency and jitter of neuronal membrane patches with stochastic Hodgkin-Huxley channels.
Ion channel stochasticity can influence the voltage dynamics of neuronal membrane, with stronger effects for smaller patches of membrane because of the correspondingly smaller number of channels. WeExpand
Impact of small-world network topology on the conventional artificial neural network for the diagnosis of diabetes
TLDR
We introduce a new approach for diagnosis of diabetes based on the Small-World Feed Forward Artificial Neural Network (SW- FFANN). Expand
Dynamical structure underlying inverse stochastic resonance and its implications.
We investigate inverse stochastic resonance (ISR), a recently reported phenomenon in which the spiking activity of a Hodgkin-Huxley model neuron subject to external noise exhibits a pronouncedExpand
Multi-stage classification of congestive heart failure based on short-term heart rate variability
TLDR
We propose an automatic system to diagnose congestive heart failure using short-term heart rate variability analysis using a multi-stage classifier. Expand
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