Using P300 to Evaluate the Effect of Object Color Knowledge in Novelty Detection

نویسندگان

  • Mohammad Amin
  • Sadra Sadeh
  • Reza Nilipour
چکیده

Background & Objective: In an oddball experiment, the context in which novel stimuli are presented affects characteristics of novelty P3, i.e. as long as there is a difficult task in which the difference between standard and target stimuli is small, recurrent presentation of a highly discrepant stimulus can lead to P300 highly similar to novelty P3. Effect of stimulus properties on P300 has also been previously examined and it has been shown that it plays a significant role in P300 topography, its amplitude and latency.Here we have examined the effect of surface color of objects of high color-diagnosticity in a visual oddball paradigm. Materials & Methods: In two separate conditions, we used pictures of fruits as target and novel stimuli. In condition one, novel stimuli were pictures of fruits in their canonical colors. In the second condition, novel stimuli were the same photo filtered to have a different non-canonical color. P300 was compared among these conditions. Results: Both target P3 and novelty P3 were detected in the two conditions but no significant difference was evident between conditions. Conclusion: This result suggests that comparing to shape information; color cue does not play a significant role in detecting context novelty. A B S T R A C T

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using P300 to Evaluate the Effect of Object Color Knowledge in Novelty Detection

A B S T R A C T Introduction: In an oddball experiment, the context in which novel stimuli are presented affects characteristics of novelty P3, i.e. as long as there is a difficult task in which the difference between standard and target stimuli is small, recurrent presentation of a highly discrepant stimulus can lead to P300 highly similar to novelty P3. Effect of stimulus properties on P300 h...

متن کامل

Evaluation of the Hidden Markov Model for Detection of P300 in EEG Signals

Introduction: Evoked potentials arisen by stimulating the brain can be utilized as a communication tool  between humans and machines. Most brain-computer interface (BCI) systems use the P300 component,  which is an evoked potential. In this paper, we evaluate the use of the hidden Markov model (HMM) for  detection of P300.  Materials and Methods: The wavelet transforms, wavelet-enhanced indepen...

متن کامل

Automatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method

Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...

متن کامل

کاهش رنگ تصاویر با شبکه‌های عصبی خودسامانده چندمرحله‌ای و ویژگی‌های افزونه

Reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. It also decreases memory and transmission bandwidth requirements. Moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. In this paper, the Kohene...

متن کامل

استفاده از زمان پاسخ، مؤلفّۀ شناختی P300 و تلفیق دو مد به منظور تشخیص

Abstract: Current lie detection methods, based on the polygraph technique, rely upon the measurement of several physiological characteristics to discriminate whether a truth or a lie is expressed. P300-based GKT (guilty knowledge test) has been suggested as an alternative approach for conventional polygraph technique. The purpose of this study is to evaluate RT (response time) analysis and comb...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013