abstract introduction: neuro-occupation is one of the newest models in occupational therapy (ot). the nature of this model is based on the coexistence and dynamic interactions between brain’s neural system functions and engagement of an individual in occupations. neuro-occupation model holistically views the individual as a blending of neuroscience and occupation. the human brain is perceived t...

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

Introduction: C. elegans neural network is a good sample for neural networks studies, because its structural details are completely determined. In this study, the virtual neural network of this worm that was proposed by Suzuki et al. for control of movement was reconstructed by adding newly discovered synapses for each of these network neurons. These synapses are newly discovered in the actu...

Abstract We report a detailed analysis on the emergence of bursting in recently developed neural mass model that includes short-term synaptic plasticity. Neural models can mimic collective dynamics large-scale neuronal populations terms few macroscopic variables like mean membrane potential and firing rate. The present one is particularly important, as it represents an exact meanfield limit syn...

Multiple sclerosis (MS) and its animal model, experimental autoimmune encephalomyelitis (EAE), are chronic inflammatory demyelinating disorders of central nervous system (CNS). While the cause is unclear, the fundamental mechanism is thought to be destruction of myelin sheaths of neurons through immune system. One of the approaches being proposed in EAE therapy is neural stem cells (NSCs) trans...