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Development of a novel rodent rapid serial visual presentation task reveals dissociable effects of stimulant versus nonstimulant treatments on attentional processes

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COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024年第2期24卷 351-367页

作者： Benn, Abigail Robinson, Emma S. J. Univ Bristol Sch Physiol Pharmacol & Neurosci Biomed Sci BldgUniv Walk Bristol BS8 1TD England

The rapid serial visual presentation (RSVP) task and continuous performance tasks (CPT) are used to assess attentional impairments in patients with psychiatric and neurological conditions. This study developed a novel touchscreen task for rats based on the structure of a human RSVP task and used pharmacological manipulations to investigate their effects on different performance measures. Normal animals were trained to respond to a target image and withhold responding to distractor images presented within a continuous sequence. In a second version of the task, a false-alarm image was included, so performance could be assessed relative to two types of nontarget distractors. The effects of acute administration of stimulant and nonstimulant treatments for ADHD (amphetamine and atomoxetine) were tested in both tasks. Methylphenidate, ketamine, and nicotine were tested in the first task only. Amphetamine made animals more impulsive and decreased overall accuracy but increased accuracy when the target was presented early in the image sequence. Atomoxetine improved accuracy overall with a specific reduction in false-alarm responses and a shift in the attentional curve reflecting improved accuracy for targets later in the image sequence. However, atomoxetine also slowed responding and increased omissions. Ketamine, nicotine, and methylphenidate had no specific effects at the doses tested. These results suggest that stimulant versus nonstimulant treatments have different effects on attention and impulsive behaviour in this rat version of an RSVP task. These results also suggest that RSVP-like tasks have the potential to be used to study attention in rodents.

关键词： rapid serial visual presentation Attention Amphetamine Atomoxetine Continuous performance tasks

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The roles of gaze and head orientation in face categorization during rapid serial visual presentation

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VISION RESEARCH 2021年 188卷 65-73页

作者： Or, Charles C. -F. Goh, Benjamin K. Lee, Alan L. F. Nanyang Technol Univ Sch Social Sci Div Psychol 48 Nanyang Ave Singapore 639818 Singapore Lingnan Univ Dept Appl Psychol Hong Kong Peoples R China

Little is known about how perceived gaze direction and head orientation may influence human categorization of visual stimuli as faces. To address this question, a sequence of unsegmented natural images, each containing a random face or a non-face object, was presented in rapid succession (stimulus duration: 91.7 ms per image) during which human observers were instructed to respond immediately to every face presentation. Faces differed in gaze and head orientation in 7 combinations - full-front views with perceived gaze (1) directed to the observer, (2) averted to the left, or (3) averted to the right, left '/, side views with (4) direct gaze or (5) averted gaze, and right '/, side views with (6) direct gaze or (7) averted gaze - were presented randomly throughout the sequence. We found highly accurate and rapid behavioural responses to all kinds of faces. Crucially, both perceived gaze direction and head orientation had comparable, non-interactive effects on response times, where direct gaze was responded faster than averted gaze by 48 ms and full-front view faster than '/, side view also by 48 ms on average. presentations of full-front faces with direct gaze led to an additive speed advantage of 96 ms to '/, faces with averted gaze. The results reveal that the effects of perceived gaze direction and head orientation on the speed of face categorization probably depend on the degree of social relevance of the face to the viewer.

关键词： Face categorization Head orientation Face view Gaze Natural scene rapid serial visual presentation

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A review of deep learning methods for cross-subject rapid serial visual presentation detection in World Robot Contest 2022

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Brain Science Advances 2023年第3期9卷 195-209页

作者： Zehui Wang Hongfei Zhang Zhouyu Ji Yuliang Yang Hongtao Wang Faculty of Intelligent Manufacturing Wuyi UniversityJiangmen 529020GuangdongChina Jiangmen Brain-like Computation and Hybrid Intelligence Research Center Jiangmen 529020GuangdongChina

The rapid serial visual presentation(RSVP)paradigm has garnered considerable attention in brain–computer interface(BCI)*** have focused on using cross-subject electroencephalogram data to train cross-subject RSVP detection *** this study,we performed a comparative analysis of the top 5 deep learning algorithms used by various teams in the event-related potential competition of the BCI Controlled Robot Contest in World Robot Contest *** evaluated these algorithms on the final data set and compared their performance in cross-subject RSVP *** results revealed that deep learning models can achieve excellent results with appropriate training methods when applied to cross-subject detection *** discussed the limitations of existing deep learning algorithms in cross-subject RSVP detection and highlighted potential research directions.

关键词： rapid serial visual presentation brain-computer interface cross-subject deep learning detection

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Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection

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FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 2022年 16卷 1006361页

作者： Cui, Yujie Xie, Songyun Xie, Xinzhou Zhang, Xiaowei Liu, Xianghui Northwestern Polytech Univ Sch Elect & Informat NPUTUB Joint Lab Neural Informat Xian Peoples R China

Backgroundrapid serial visual presentation (RSVP) has become a popular target detection method by decoding electroencephalography (EEG) signals, owing to its sensitivity and effectiveness. Most current research on EEG-based RSVP tasks focused on feature extraction algorithms developed to deal with the non-stationarity and low signal-to-noise ratio (SNR) of EEG signals. However, these algorithms cannot handle the problem of no event-related potentials (ERP) component or miniature ERP components caused by the attention lapses of human vision in abnormal conditions. The fusion of human-computer vision can obtain complementary information, making it a promising way to become an efficient and general way to detect objects, especially in attention lapses. MethodsDynamic probability integration (DPI) was proposed in this study to fuse human vision and computer vision. A novel basic probability assignment (BPA) method was included, which can fully consider the classification capabilities of different heterogeneous information sources for targets and non-targets and constructs the detection performance model for the weight generation based on classification capabilities. Furthermore, a spatial-temporal hybrid common spatial pattern-principal component analysis (STHCP) algorithm was designed to decode EEG signals in the RSVP task. It is a simple and effective method of distinguishing target and non-target using spatial-temporal features. ResultsA nighttime vehicle detection based on the RSVP task was performed to evaluate the performance of DPI and STHCP, which is one of the conditions of attention lapses because of its decrease in visual information. The average AUC of DPI was 0.912 +/- 0.041 and increased by 11.5, 5.2, 3.4, and 1.7% compared with human vision, computer vision, naive Bayesian fusion, and dynamic belief fusion (DBF), respectively. A higher average balanced accuracy of 0.845 +/- 0.052 was also achieved using DPI, representing that DPI has the balanced detectio

关键词： brain-computer interface D-S evidence theory electroencephalogram human-computer fusion rapid serial visual presentation

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A Spatio-Temporal Method for Extracting Gamma-Band Features to Enhance Classification in a rapid serial visual presentation Task

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INTERNATIONAL JOURNAL OF NEURAL SYSTEMS 2022年第3期32卷 2250010-2250010页

作者： Xie, Ping Hao, Shencai Zhao, Jing Liang, Zhenhu Li, Xiaoli Yanshan Univ Sch Elect Engn Key Lab Intelligent Rehabil & Neromodulat Hebei P Qinhuangdao 066004 Hebei Peoples R China Beijing Normal Univ State Key Lab Cognit Neurosci & Learning Beijing 100875 Peoples R China

rapid serial visual presentation (RSVP) is a type of electroencephalogram (EEG) pattern commonly used for target recognition. Besides delta- and theta-band responses already used for classification, RSVP task also evokes gamma-band responses having low amplitude and large individual difference. This paper proposes a filter bank spatio-temporal component, analysis (FBSCA) method, extracting spatio-temporal features of the gamma-band responses for the first time, to enhance the RSVP classification performance. Considering the individual difference in time latency and responsive frequency, the proposed FBSCA method decomposes the gamma-band EEC data into sub-components in different time-frequency-space domains and seeks the weight coefficients to optimize the combinations of electrodes, common spatial pattern (CSP) components, time windows and frequency bands. Two state-of-the-art methods, i.e. hierarchical discriminant principal component analysis (HDPCA) and discriminative canonical pattern matching (DCPM), were used for comparison. The performance was evaluated in 10 x 10 cross validations using a public dataset. Study results showed that the FBSCA method outperformed the other methods regardless of number of training trials. These results suggest that the proposed FBSCA method can enhance the RSVP classification.

关键词： Brain-computer interface electroencephalogram rapid serial visual presentation gamma-band feature

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An improved EEGNet for single-trial EEG classification in rapid serial visual presentation task

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Brain Science Advances 2022年第2期8卷 111-126页

作者： Hongfei Zhang Zehui Wang Yinhu Yu Haojun Yin Chuangquan Chen Hongtao Wang Faculty of Intelligent Manufacturing Wuyi UniversityJiangmen 529020GuangdongChina

As a new type of brain-computer interface(BCI),the rapid serial visual presentation(RSVP)paradigm has attracted significant *** mechanism of RSVP is detecting the P300 component corresponding to the target image to realize fast and correct *** paper proposed an improved EEGNet model to achieve good performance in offline and online ***,the data were filtered by xDAWN to enhance the signal-to-noise ratio of the electroencephalogram(EEG)*** focal loss function was used instead of the cross-entropy loss function to solve the classification problems of unbalanced ***,the subject-specific data were fed to the improved EEGNet model to obtain a subject-specific *** applied the proposed model at the BCI Controlled Robot Contest in World Robot Contest 2021 and won the second *** average recall rate of the four participants reached 51.56%in triple *** the offline data benchmark dataset(64 subjects-RSVP tasks),the average recall rates of groups A and B reached 76.07%and 78.11%,*** provided an alternative method to identify targets based on the RSVP paradigm.

关键词： electroencephalogram rapid serial visual presentation event-related potential EEGNet subject-specific model

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Speed of rapid serial visual presentation of Pictures, Numbers and Words Affects Event-Related Potential-Based Detection Accuracy

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IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 2020年第1期28卷 113-122页

作者： Lees, Stephanie McCullagh, Paul Payne, Phillippa Maguire, Liam Lotte, Fabien Coyle, Damien Ulster Univ Intelligent Syst Res Ctr Fac Comp Engn & Built Environm Coleraine BT48 7JL Londonderry North Ireland Cranfield Univ Bedford MK43 0AL England Univ Bordeaux Bordeaux INP CNRS Inria Bordeaux Sud QuestLaBRI F-33405 Talence France

rapid serial visual presentation (RSVP) based brain-computer interfaces (BCIs) can detect target images among a continuous stream of rapidly presented images, by classifying a viewer's event related potentials (ERPs) associated with the target and non-targets images. Whilst the majority of RSVP-BCI studies to date have concentrated on the identification of a single type of image, namely pictures, here we study the capability of RSVP-BCI to detect three different target image types: pictures, numbers and words. The impact of presentation duration (speed) i.e., 100-200 ms (5-10 Hz), 200-300 ms (3.3-5 Hz) or 300-400 ms (2.5-3.3 Hz), is also investigated. 2-way repeated measure ANOVA on accuracies of detecting targets from non-target stimuli (ratio 1:9) measured via area under the receiver operator characteristics curve (AUC) for N = 15 subjects revealed a significant effect of factor Stimulus-Type (pictures, numbers, words) (F (2,28) = 7.243, p = 0.003) and for Stimulus-Duration (F (2,28) = 5.591, p = 0.011). Furthermore, there is an interaction between stimulus type and duration: F (4,56) = 4.419, p = 0.004). The results indicate that when designing RSVP-BCI paradigms, the content of the images and the rate at which images are presented impact on the accuracy of detection and hence these parameters are key experimental variables in protocol design and applications, which apply RSVP for multimodal image datasets.

关键词： rapid serial visual presentation brain-computer interface BCI event related potentials electroencephalography EEG

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rapid serial visual presentation Interacts with Ambiguity During Sentence Comprehension

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JOURNAL OF PSYCHOLINGUISTIC RESEARCH 2019年第3期48卷 665-682页

作者： Key-DeLyria, Sarah E. Bodner, Todd Altmann, Lori J. P. Portland State Univ Speech & Hearing Sci Dept POB 751 Portland OR 97207 USA Portland State Univ Dept Psychol Portland OR 97207 USA Univ Florida Dept Speech Language & Hearing Sci Gainesville FL USA

Conventional opinion about using rapid serial visual presentation (RSVP) for examining sentence comprehension maintains that RSVP taxes working memory (WM), which probably affects sentence processing. However, most RSVP studies only infer the involvement of WM. Other cognitive resources, such as cognitive control or vocabulary may also impact sentence comprehension and interact with RSVP. Further, sentence ambiguity is predicted to interact with RSVP and cognitive resources to impact sentence comprehension. To test these relationships, participants read ambiguous and unambiguous sentences using RSVP and Whole-Sentence presentation, followed by comprehension questions that were targeted to the ambiguous region of the sentences. presentation type and ambiguity interacted to affect RT such that the effect of RSVP was exaggerated for ambiguous sentences. RT effects were moderated by WM and vocabulary. WM and cognitive control affected accuracy. Findings are discussed in light of depth of processing and the impact of cognitive resources on sentence comprehension.

关键词： rapid serial visual presentation Sentence processing Shallow processing Working memory Executive function

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Perceived Duration Depends Upon Target Detection in rapid serial visual presentation Sequence

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I-PERCEPTION 2020年第6期11卷 2041669520981996页

作者： Ichikawa, Makoto Miyoshi, Masataka Chiba Univ Dept Psychol Chiba Japan

It is well known that the perceived duration for a given time period decreases with the reduction of the number of perceived events. We examined whether target detection failures in viewing rapid serial visual presentation (RSVP) sequence, caused by attentional blink, affect this reduction of perceived duration. In two experiments, trials consisted of displays of two series of RSVP sequences;in the first sequence (the comparison), two, one, or no numerals were presented as targets embedded within the string of letters, while in the second sequence (the standard), only alphabetic letters were presented. In each trial, participants judged whether the duration of the comparison is perceived as longer than that of the standard (Experiment 1), or whether the number of frames in the comparison is perceived as more than that in the standard (Experiment 2). Results showed that perceived duration was inflated with target detection, but not with the increment of presented frames although number of perceived frames was inflated with both target detection and increment of presented frames. These results suggest that perceived duration in viewing RSVP sequences is determined by the cognitive load necessary to accomplish target detection rather than by the number of perceived frames.

关键词： attentional blink temporal duration rapid serial visual presentation number of perceived frames cognitive load

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Exploring website gist through rapid serial visual presentation

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COGNITIVE RESEARCH-PRINCIPLES AND IMPLICATIONS 2019年第1期4卷 44页

作者： Owens, Justin W. Chaparro, Barbara S. Palmer, Evan M. Wichita State Univ Dept Psychol Wichita KS 67208 USA Google Inc Mountain View CA USA Embry Riddle Aeronaut Univ Dept Human Factors & Behav Neurobiol Daytona Beach FL USA San Jose State Univ Dept Psychol San Jose CA 95192 USA

Background: Users can make judgments about web pages in a glance. Little research has explored what semantic information can be extracted from a web page within a single fixation or what mental representations users have of web pages, but the scene perception literature provides a framework for understanding how viewers can extract and represent diverse semantic information from scenes in a glance. The purpose of this research was (1) to explore whether semantic information about a web page could be extracted within a single fixation and (2) to explore the effects of size and resolution on extracting this information. Using a rapid serial visual presentation (RSVP) paradigm, Experiment 1 explored whether certain semantic categories of websites (i.e., news, search, shopping, and social networks/blogs) could be detected within a RSVP stream of web page stimuli. Natural scenes, which have been shown to be detectable within a single fixation in the literature, served as a baseline for comparison. Experiment 2 examined the effects of stimulus size and resolution on observers' ability to detect the presence of website categories using similar methods. Results: Findings from this research demonstrate that users have conceptual models of websites that allow detection of web pages from a fixation's worth of stimulus exposure, when provided additional time for processing. For website categories other than search, detection performance decreased significantly when web elements were no longer discernible due to decreases in size and/or resolution. The implications of this research are that website conceptual models rely more on page elements and less on the spatial relationship between these elements. Conclusions: Participants can detect websites accurately when they were displayed for less than a fixation and when the participants were allowed additional processing time. Subjective comments and stimulus onset asynchrony data suggested that participants likely relied on local f

关键词： Web page gist Website gist Perceptual gist Scene perception rapid serial visual presentation

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