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In this preliminary study, we explore the brain activity of healthy subjects during visual sustained attention task using a low-cost electroencephalography headset. The main objective is to study the ability of subjects to detect and respond to stimulus changes which occur infrequently during the time using Emotiv EPOC system. 14-Channels EEG data were recorded while subjects participated in 10 minutes...
Working memory (WM) plays a critical role in cognitive skills such as, learning, reasoning, and language comprehension. WM capacity is widely used as a predictor of academic performance and many other cognitive skills. Yet, how the human brain coordinates this complex skill through its functional networks and also whether individual's WM limitations are due to contrasts in regional activation or cross-regional...
Blinking has two functions: to moisturize eyes and as a defensive response to the environment and responses caused by the by mental processes. In this paper, we investigate statistical characteristics of blinks and blink rate variability of 11 subjects. The subjects are presented with a reading/memorization session preceded and followed by resting sessions. EEG signals were recorded during these sessions...
One of the objectives of the control using the human thought is to make useful robotic systems for persons with high dependency (quadriplegics, paraplegics, etc.). When the human subject is not able to move his limbs, upper or lower, he is no longer able to perform basic and necessary tasks in his daily life. Recently, robotic systems have reached a very advanced level. For example, humanoid robots...
The DLP and 3LCD projectors differ in the presentation techniques of color images. It is possible to suggest that the brain activity related on visual images recognition depends on the kind of projectors chosen for the image presentation. In this study, the patterns of human brain activity recorded during execution of stop-signal paradigm were analyzed for comparison of effects of the DLP and 3LCD...
We investigate the neural correlates of visual working memory using electroencephalography (EEG). Our objective is to develop a cognitive Brain-Computer Interface (BCI) able to monitor visual working memory load in real-time. A system with these properties would eventually have different applications, such as training, rehabilitation, or safety while operating dangerous machinery. The BCI performances...
This paper offers a brief overview of the tutorial presentation to be offered at the International Conference on Computer, Communication, Control and Information Technology (C3IT'2015) by the first author. It covers foundations to applications of the Brain-Computer Interfacing research undertaken by a research group at Artificial Intelligence and Brain Imaging Laboratory of Jadavpur University, located...
Human error often becomes a serious problem in dairy life. Recent studies have shown that failures of attention and motor errors can be captured before they actually occur in the alpha, theta, and beta-band powers of electroencephalograms (EEGs), suggesting the possibility that errors in motor responses can be predicted. The goal of this study was to use single-trial offline classification to examine...
Users of a brain-computer interface (BCI) learn to co-adapt with the system through the feedback they receive. Particularly in case of motor imagery BCIs, feedback design can play an important role in the course of motor imagery training. In this paper we investigated the effect of biased visual feedback on performance and motor imagery skills of users during BCI control of a pair of humanlike robotic...
The authors measured electroencephalograms (EEGs) from subjects looking at line drawings of body parts and recalling their names silently. The equivalent current dipole source localization (ECDL) method is applied to the event related potentials (ERPs): summed EEGs. ECDs are localized to the primary visual area VI, to the ventral pathway (ITG: Inferior Temporal Gyrus), to the parahippocampus (ParaHip),...
Color change detection is of great importance in the study of automatic visual processing mechanisms. Although the visual mismatch negativity (vMMN) has been widely explored, the importance of induced components and the precise oscillations of EEG signal have been ignored. In the present study, we conducted the event-related (de)synchronization (ERD/ERS) of the EEG oscillatory activities relevant...
In this paper, the brain activities for short-term and long-term memory were verified by event-related potentials of the brain. In addition, long-term memory had a proactive interference to short-term memory that could be found by observing the changes of potentials in the brain. In clinical trials, subjects randomly selected a poker card (target) to be memorized. Subsequently, they were tested by...
Brain computer interface (BCI) systems allow interaction with machines through a channel that does not involve the traditional motor pathways of the human nervous system. Thus they can be used by people with severe motor disabilities or those whose limbs are occupied with other tasks. In BCI systems that recently showed greatest interest of researchers, electrical brain activity is measured on the...
The goal of the present paper is to report the recent advances in Electroencephalogram (EEG)-based Brain Machine Interface (BMI) developed at the Institute of Electrical Engineering and Telematics of Aveiro (IEETA). First, a short overview of the most successful BMI technologies is presented and then our ongoing research and protocol for motor imagery noninvasive BMI for a mobile robot control is...
This paper investigates the differences between encoding and retrieval of Japanese kanji and kana during the memory processing, by comparing the event-related potentials (ERPs) components which are elicited by Japanese kanji and kana during Chinese Japanese learners' memorizing and recollecting them. At the study step, significant differences are found in considering the amplitude and latency of the...
Reliable latency estimation of a given component is essential for single-trial analysis of event-related potentials (ERPs). Peak-picking is a straightforward method for latency determination in single trials. The peak-picking method has so far been carried out according to the maximal-peak strategy, which looks for the largest deflection in a low-pass filtered epoch within a predefined time window...
Brain-Machine Interfaces (BMIs) are being researched controlling external devices such as robots and computers by measuring the cranial nerve activity of the operator. The brain activities evoked by visual stimuli have been studied intensively. However, few studies have considered a BMI that uses the brain activities evoked by auditory stimuli. This study investigated whether a person's direction...
We study subjects with pharmacologically intractable epilepsy who undergo semi-chronic implantation of electrodes for clinical purposes. We record physiological activity from tens to more than one hundred electrodes implanted in different parts of neocortex. These recordings provide higher spatial and temporal resolution than non-invasive measures of human brain activity. Here we discuss our efforts...
Simultaneous recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is increasingly used to monitor the brain activity. The interactions between the scanner magnetic field, the patient's body, and the EEG electrodes generate a pulsation artifact called ballistocardiogram (BCG) which is synchronized with the patient's heart beat. The BCG artifact is considered here...
An event-related potential study was conducted to make clear that how picture-word delayed matching encoding affects upon episodic retrieval, and to further investigate the relationship between encoding and episodic retrieval by ERP source analysis using the LORATA method (low resolution electromagnetic tomography, via Curry V6.0). The experiment used learning and recognition paradigm. The results...
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