Since last many years Optical character recognition has been an area attracting many researchers. Due to wide range of applications and advancement of digital technology offline and online handwritten character recognition for regional script is becoming fascinated area of research. In any character recognition system feature extraction phase requires input of image which is noise free, binary ...

Certain steroids have been reported to enhance experimental viral infections, whereas others have little or no effect. Interference with the interferon system has been suggested as a possible mechanism for the viral infection-enhancing (VIE) activity of hormones. In the present study, steroids (prednisolone, progesterone, testosterone) which had no effect on MM virus infection demonstrated VIE ...

Abstract Recurrent interactions in the primary visual cortex makes its output a complex nonlinear transform of its input. This transform serves pre-attentive visual segmentation, i.e., autonomously processing visual inputs to give outputs that selectively emphasize certain features for segmentation. An analytical understanding of the nonlinear dynamics of the recurrent neural circuit is essenti...

Recurrent interactions in the primary visual cortex makes its output a complex nonlinear transform of its input. This transform serves pre-attentive visual segmentation, i.e., autonomously processing visual inputs to give outputs that selectively emphasize certain features for segmentation. An analytical understanding of the nonlinear dynamics of the recurrent neural circuit is essential to har...

Recurrent interactions in the primary visual cortex make its output a complex nonlinear transform of its input. This transform serves preattentive visual segmentation, that is, autonomously processing visual inputs to give outputs that selectively emphasize certain features for segmentation. An analytical understanding of the nonlinear dynamics of the recurrent neural circuit is essential to ha...

We introduce a neurobiologically plausible model of contour integration from visual inputs of individual oriented edges. The model is composed of interacting excitatory neurons and inhibitory interneurons, receives visual inputs via oriented receptive fields (RFs) like those in VI. The RF centers are distributed in space. At each location, a finite number of cells tuned to orientations spanning...

Enhancement of sensory motor performance is vital in rehabilitation after brain injury. This short communication discusses a new approach in motor learning and rehabilitation: The error augmentation (EA) which utilizes incorrect visual and proprioceptive feedback to improve motor adaptation. In EA technology, the computer distinguishes and amplifies errors in a patient's movement from a preferr...

This thesis presents a novel approach to speech enhancement by exploiting the bimodality of speech production and the correlation that exists between audio and visual speech information. An analysis into the correlation of a range of audio and visual features reveals significant correlation to exist between visual speech features and audio filterbank features. The amount of correlation was also...

This study explored the effect of input vs. collaborative output tasks on Iranian EFL learners’ grammatical accuracy and their willingness to communicate (WTC). In so doing, the study utilized 3 input (i.e., textual enhancement, processing instruction, and discourse) and 3 collaborative output (i.e., dictogloss, reconstruction cloze task, and jigsaw) tasks and compared their effects on 5 Englis...

One of the central problems in computational neuroscience is to understand how the object-recognition pathway of the cortex learns a deep hierarchy of nonlinear feature detectors. Recent progress in machine learning shows that it is possible to learn deep hierarchies without requiring any labelled data. The feature detectors are learned one layer at a time and the goal of the learning procedure...