Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Biological Systems Modeling
Weight synchronization in feedforward neural networks and a novel method to detect synchrony patterns

Hossein Banki-Koshki; Seyyed Ali Seyyedsalehi

Volume 17, Issue 2 , September 2023, , Pages 100-110

  Neuronal synchronization as a significant cognitive phenomenon of the human brain, has attracted the interest of neuroscience researchers in recent years. This phenomenon is generally investigated in discrete and continuous neuronal models or experimentally recorded signals of the brain. In this study, ...  Read More

Neural Network / Biological & Artificial Neural Network / BNN & ANN
A Novel Neuronal Model based on Chaotic Behavior of Artificial Neural Networks

Hossein Banki-Koshki; Seyyed Ali Seyyedsalehi

Volume 15, Issue 3 , December 2021, , Pages 199-209

  The presentation of new neuronal models to simulate cognitive phenomena in the brain has attracted the research interests in recent years. In this study, a new neural model based on the chaotic behavior of weights of artificial neural networks during training by back-propagation algorithm is presented. ...  Read More

Analysis of the Role of Parameters in the Chaotic Behavior of a Cancerous System and its Biological Interpretation

Seyed Hojat Sabzpoushan; Tina Ghodsi Asnaashari; Fateme Pourhasanzade

Volume 11, Issue 1 , May 2017, , Pages 41-49

  Cancer is one of the most important causes of mortality in human society; therefore, scientists are always looking for new ways to cope with the disease. Understanding more about the dynamics of cancerous tumors in body can help researches. Therefore, making simple models for tumor growth is important. ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Modified Multiple Hurst Index for Evaluating Measure of Chaoticity in Cardiac Arrhythmias Classification Application

Mina Hemmatian; Ali Maleki

Volume 9, Issue 2 , July 2015, , Pages 163-178

  The humans’ heart is a chaotic system so use of fractal dimension to identify cardiac arrhythmias has been considered. Cardiac arrhythmias are prevalent diseases that is very important to be diagnosed. Hurst index which is calculated using rescaled range analysis method, is used as a criterion ...  Read More

Biological Computer Modeling / Biological Computer Simulation
Bifurcation Analysis of Early Afterdepolarizations in a Ventricular Cell Model

Seyed Hojat Sabzpoushan; Niloofar Shahidi; Azadeh Ghajarjazy

Volume 9, Issue 4 , February 2015, , Pages 351-360

  Abnormal oscillations of ventricular cell action potential can lead to cardiac arrhythmias. Early afterdepolarizations (EADs) is one kind of these oscillations that have been widely studied in the field of cardiac arrhythmias diagnosis and therapies. Nowadays although ventricular cell models have been ...  Read More

The effect of ELF Magnetic fields on Nonlinear features of Helix Aspersa’s Neurons

Hadi Tavakoli; Ali Motie Nasrabadi; Seyed Mohammad Firouzabadi; Mehri Kaviyani Moghaddam

Volume 6, Issue 2 , June 2012, , Pages 123-131

  During recent years, the environment has been enormously changed by the wide range of magnetic fields. Therefore, comprehensive studies are being done for investigating their biological effects. The effects such as inhibition of bioelectric activity of neurons which is shown by evidence, like decreasing ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Discrimination Of Ventricular Fibrillation Based On Chaotic Characteristics Of Electrocardiogram Signals

Mohammad Reza Nourouzi; Mohammad Javad Yazdanpanah

Volume 1, Issue 1 , June 2007, , Pages 53-62

  Ventricular Fibrillation (VF) is a dangerous abnormality in the heart activity. During the VF, well known shape of electrocardiogram (ECG) signal changes to a pseudo-noise waveform. Recent researches have depicted that VF is not a noisy signal. The characteristics of VF and chaotic signals are the same. ...  Read More