activity
20102014
most citedThe Influence of Decoding Accuracy on Perceived Control: A Simulated BCI Study

6 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2014★ 6 cited

The Influence of Decoding Accuracy on Perceived Control: A Simulated BCI Study

Pouyan R. Fard, Moritz Grosse-Wentrup

Understanding the relationship between the decoding accuracy of a brain-computer interface (BCI) and a subject's subjective feeling of control is important for determining a lower…

cs.AI2012

A Mixed Observability Markov Decision Process Model for Musical Pitch

Pouyan Rafiei Fard, Keyvan Yahya

Partially observable Markov decision processes have been widely used to provide models for real-world decision making problems. In this paper, we will provide a method in which a s…

math.NA2010

Variational Iteration Method for Image Restoration

Keyvan Yahya, Jafar Biazar, Hossein Azari +1

The famous Perona-Malik (P-M) equation which was at first introduced for image restoration has been solved via various numerical methods. In this paper we will solve it for the fir…

cs.CV2010★ 4 cited

Homotopy Perturbation Method for Image Restoration and Denoising

Keyvan Yahya, Jafar Biazar, Hossein Azari +1

The famous Perona-Malik (P-M) equation which was at first introduced for image restoration has been solved via various numerical methods. In this paper we will solve it for the fir…

cs.LG2010★ 1 cited

A Reinforcement Learning Model Using Neural Networks for Music Sight Reading Learning Problem

Keyvan Yahya, Pouyan Rafiei Fard

Music Sight Reading is a complex process in which when it is occurred in the brain some learning attributes would be emerged. Besides giving a model based on actor-critic method in…

cs.AI2010

Computational Model of Music Sight Reading: A Reinforcement Learning Approach

Keyvan Yahya, Pouyan Rafiei Fard

Although the Music Sight Reading process has been studied from the cognitive psychology view points, but the computational learning methods like the Reinforcement Learning have not…