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Chang YH, Chen HJ, Barquero C, Tsai HJ, Liang WK, Hsu CH, Muggleton NG, Wang CA. Linking tonic and phasic pupil responses to P300 amplitude in an emotional face-word Stroop task. Psychophysiology 2024; 61:e14479. [PMID: 37920144 DOI: 10.1111/psyp.14479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 09/04/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023]
Abstract
The locus coeruleus-norepinephrine (LC-NE) system, which regulates arousal levels, is important for cognitive control, including emotional conflict resolution. Additionally, the LC-NE system is implicated in P300 generation. If the P300 is mediated by the LC-NE system, and considering the established correlations between LC activity and pupil dilation, P300 amplitude should correlate with task-evoked (phasic) pupil dilation on a trial-by-trial basis. However, prior studies, predominantly utilizing oddball-type paradigms, have not demonstrated correlations between concurrently recorded task-evoked pupil dilation and P300 responses. Using a recently developed emotional face-word Stroop task that links pupil dilation to the LC-NE system, here, we examined both intra- and inter-individual correlations between task-evoked pupil dilation and P300 amplitude. We found that lower accuracy, slower reaction times, and larger task-evoked pupil dilation were obtained in the incongruent compared to the congruent condition. Furthermore, we observed intra-individual correlations between task-evoked pupil dilation and P300 amplitude, with larger pupil dilation correlating with a greater P300 amplitude. In contrast, pupil dilation did not exhibit consistent correlations with N450 and N170 amplitudes. Baseline (tonic) pupil size also showed correlations with P300 and N170 amplitudes, with smaller pupil size corresponding to larger amplitude. Moreover, inter-individual differences in task-evoked pupil dilation between the congruent and incongruent conditions correlated with differences in reaction time and P300 amplitude, though these effects only approached significance. To summarize, our study provides evidence for a connection between task-evoked pupil dilation and P300 amplitude at the single-trial level, suggesting the involvement of the LC-NE system in P300 generation.
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Affiliation(s)
- Yi-Hsuan Chang
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
| | - He-Jun Chen
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Cesar Barquero
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Physical Activity and Sport Science, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | - Hsu Jung Tsai
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Wei-Kuang Liang
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan
| | - Chun-Hsien Hsu
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
| | - Neil G Muggleton
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan
| | - Chin-An Wang
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
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2
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Zheng Y, Zhang M, Wu M. Effort discounts reward-based control allocation: A neurodynamic perspective. Psychophysiology 2024; 61:e14451. [PMID: 37789510 DOI: 10.1111/psyp.14451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 08/28/2023] [Accepted: 09/18/2023] [Indexed: 10/05/2023]
Abstract
The amount of cognitive and neural resources allocated to a task is largely determined by the reward we can expect. However, it remains under-appreciated how this reward-expectation-based control allocation is modulated by effort expenditure. The present event-related potential study investigated this issue through the lens of neural dynamics. Thirty-four participants completed an effort-based monetary incentive delay task while their EEG was recorded. Effort demand was manipulated by adding no (low effort) or much (high effort) noise to the target. Behaviorally, participants exhibited reward-related speeding regardless of effort expenditure, as revealed by faster RTs for reward than neutral trials. Our ERP results demonstrated a widespread facilitatory influence of reward expectation on neural dynamics extending from cue evaluation as indexed by the cue-P3, to control preparation as indexed by the contingent negative variation (CNV), and finally to control engagement as indexed by the target-P3. Critically, the neural facilitation was discounted by effort expenditure during both the control-preparation and control-engagement stages instead of the cue-evaluation stage. Overall, this study provides neurodynamic evidence that control allocation is determined by reward and effort via a cost-benefit analysis.
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Affiliation(s)
- Ya Zheng
- Department of Psychology, Guangzhou University, Guangzhou, China
| | - Mang Zhang
- Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Menglin Wu
- Department of Psychology, Dalian Medical University, Dalian, China
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Overmeyer R, Kirschner H, Fischer AG, Endrass T. Unraveling the influence of trial-based motivational changes on performance monitoring stages in a flanker task. Sci Rep 2023; 13:19180. [PMID: 37932359 PMCID: PMC10628251 DOI: 10.1038/s41598-023-45526-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/20/2023] [Indexed: 11/08/2023] Open
Abstract
Performance monitoring (PM) is a vital component of adaptive behavior and known to be influenced by motivation. We examined effects of potential gain (PG) and loss avoidance (LA) on neural correlates of PM at different processing stages, using a task with trial-based changes in these motivational contexts. Findings suggest more attention is allocated to the PG context, with higher amplitudes for respective correlates of stimulus and feedback processing. The PG context favored rapid responses, while the LA context emphasized accurate responses. Lower response thresholds in the PG context after correct responses derived from a drift-diffusion model also indicate a more approach-oriented response style in the PG context. This cognitive shift is mirrored in neural correlates: negative feedback in the PG context elicited a higher feedback-related negativity (FRN) and higher theta power, whereas positive feedback in the LA context elicited higher P3a and P3b amplitudes, as well as higher theta power. There was no effect of motivational context on response-locked brain activity. Given the similar frequency of negative feedback in both contexts, the elevated FRN and theta power in PG trials cannot be attributed to variations in reward prediction error. The observed variations in the FRN indicate that the effect of outcome valence is modulated by motivational salience.
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Affiliation(s)
- Rebecca Overmeyer
- Chair for Addiction Research, Faculty of Psychology, Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer Straße 46a, 01187, Dresden, Germany.
| | - Hans Kirschner
- Institute of Psychology, Otto-von-Guericke University, Magdeburg, Germany
| | - Adrian G Fischer
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Tanja Endrass
- Chair for Addiction Research, Faculty of Psychology, Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer Straße 46a, 01187, Dresden, Germany
- Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
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Tao R, Zhang C, Zhao H, Xu S. Active vs. computer-based passive decision-making leads to discrepancies in outcome evaluation: evidence from self-reported emotional experience and brain activity. Cereb Cortex 2023; 33:10676-10685. [PMID: 37689832 DOI: 10.1093/cercor/bhad317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 08/11/2023] [Accepted: 08/18/2023] [Indexed: 09/11/2023] Open
Abstract
People prefer active decision-making and induce greater emotional feelings than computer-based passive mode, yet the modulation of decision-making mode on outcome evaluation remains unknown. The present study adopted event-related potentials to investigate the discrepancies in active and computer-based passive mode on outcome evaluation using a card gambling task. The subjective rating results showed that active mode elicited more cognitive effort and stronger emotional feelings than passive mode. For received outcomes, we observed no significant Feedback-Related Negativity (FRN) effect on difference waveshapes (d-FRN) between the 2 modes, but active decision-making elicited larger P300 amplitudes than the passive mode. For unchosen card outcomes, the results revealed larger d-FRN amplitudes of relative valences (Superior - Inferior) in responses to negative feedback in active mode than in passive mode. The averaged P300 results revealed an interplay among outcome feedback, decision-making mode, and relative valence, and the average P300 amplitude elicited by the received loss outcome in the active mode partially mediated the relationship between subjective cognitive effort and negative emotion ratings on loss. Our findings indicate discrepancies between active and computer-based passive modes, and cognitive effort and emotional experience involved in outcome evaluation.
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Affiliation(s)
- Ruiwen Tao
- Center for Magnetic Resonance Imaging Research & Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, Shanghai International Studies University, Shanghai 20083, China
- College of International Business, Shanghai International Studies University, Shanghai 20083, China
| | - Can Zhang
- School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Hanxuan Zhao
- Center for Magnetic Resonance Imaging Research & Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, Shanghai International Studies University, Shanghai 20083, China
- College of International Business, Shanghai International Studies University, Shanghai 20083, China
| | - Sihua Xu
- Center for Magnetic Resonance Imaging Research & Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, Shanghai International Studies University, Shanghai 20083, China
- College of International Business, Shanghai International Studies University, Shanghai 20083, China
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Schinazi VR, Meloni D, Grübel J, Angus DJ, Baumann O, Weibel RP, Jeszenszky P, Hölscher C, Thrash T. Motivation moderates gender differences in navigation performance. Sci Rep 2023; 13:15995. [PMID: 37749312 PMCID: PMC10520045 DOI: 10.1038/s41598-023-43241-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 09/21/2023] [Indexed: 09/27/2023] Open
Abstract
Gender differences in navigation performance are a recurrent and controversial topic. Previous research suggests that men outperform women in navigation tasks and that men and women exhibit different navigation strategies. Here, we investigate whether motivation to complete the task moderates the relationship between navigation performance and gender. Participants learned the locations of landmarks in a novel virtual city. During learning, participants could trigger a top-down map that depicted their current position and the locations of the landmarks. During testing, participants were divided into control and treatment groups and were not allowed to consult the map. All participants were given 16 minutes to navigate to the landmarks, but those in the treatment group were monetarily penalized for every second they spent completing the task. Results revealed a negative relationship between physiological arousal and the time required to locate the landmarks. In addition, gender differences in strategy were found during learning, with women spending more time with the map and taking 40% longer than men to locate the landmarks. Interestingly, an interaction between gender and treatment group revealed that women in the control group required more time than men and women in the treatment group to retrieve the landmarks. During testing, women in the control group also took more circuitous routes compared to men in the control group and women in the treatment group. These results suggest that a concurrent and relevant stressor can motivate women to perform similarly to men, helping to diminish pervasive gender differences found in the navigation literature.
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Affiliation(s)
- Victor R Schinazi
- Chair of Cognitive Science, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland.
- Department of Psychology, Bond University, Robina, Australia.
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
| | - Dario Meloni
- Chair of Cognitive Science, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland
| | - Jascha Grübel
- Chair of Cognitive Science, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland
- Chair of Geoinformation Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland
| | - Douglas J Angus
- Department of Psychology, Bond University, Robina, Australia
| | - Oliver Baumann
- Department of Psychology, Bond University, Robina, Australia
| | - Raphael P Weibel
- Chair of Cognitive Science, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland
- Chair of Technology Marketing, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
| | - Péter Jeszenszky
- Chair of Cognitive Science, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland
- Centre for the Study of Language and Society, University of Bern, Bern, Switzerland
| | - Christoph Hölscher
- Chair of Cognitive Science, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland
| | - Tyler Thrash
- Chair of Cognitive Science, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland
- Department of Biology, Saint Louis University, St. Louis, MO, USA
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Matyjek M, Bayer M, Dziobek I. Reward responsiveness in autism and autistic traits - Evidence from neuronal, autonomic, and behavioural levels. Neuroimage Clin 2023; 38:103442. [PMID: 37285795 PMCID: PMC10250120 DOI: 10.1016/j.nicl.2023.103442] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 05/01/2023] [Accepted: 05/21/2023] [Indexed: 06/09/2023]
Abstract
Autism has been linked to atypicalities in reward processing, especially in the social domain. However, results are heterogeneous, and their interpretation is hindered by the use of personally non-relevant social rewards. In this study we investigated behavioural (reaction times), neuronal (event-related potentials), and autonomic (pupil sizes) responses to personally relevant social rewards, money, and neutral outcomes in 26 autistic and 53 non-autistic subjects varying in levels of autistic traits. As hypothesised and preregistered, autism and autistic traits did not differently influence responses to social, monetary, or neutral outcomes on either response level. While groups did not differ in behaviour (reaction times), autism was linked to generally enhanced brain responses in early anticipation and larger pupil constrictions in reward reception. Together, these results suggest that when using personally relevant stimuli, autism is linked to generally preserved, although less neuronally efficient processing of rewards. Considering the role of social relevance in reward processing, we propose an interpretation of contradictory evidence from clinical practice and empirical research.
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Affiliation(s)
- Magdalena Matyjek
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstr. 56, 10117 Berlin, Germany; Institute of Psychology, Humboldt-Universität zu Berlin, Rudower Chaussee, 12489 Berlin, Germany.
| | - Mareike Bayer
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstr. 56, 10117 Berlin, Germany; Institute of Psychology, Humboldt-Universität zu Berlin, Rudower Chaussee, 12489 Berlin, Germany
| | - Isabel Dziobek
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstr. 56, 10117 Berlin, Germany; Institute of Psychology, Humboldt-Universität zu Berlin, Rudower Chaussee, 12489 Berlin, Germany
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7
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Shen J, Liu N, Li D, Zhang B. Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments. Behav Neurol 2022; 2022:3070608. [PMID: 35874640 PMCID: PMC9307401 DOI: 10.1155/2022/3070608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 06/17/2022] [Indexed: 11/18/2022] Open
Abstract
Extraction and analysis of the EEG (electroencephalograph) information features generated during behavioral decision-making can provide a better understanding of the state of mind. Previous studies have focused more on the brainwave features after behavioral decision-making. In fact, the EEG before decision-making is more worthy of our attention. In this study, we introduce a new index based on the reaction time of subjects before decision-making, called the Prestimulus Time (PT), which have important reference value for the study of cognitive function, neurological diseases, and other fields. In our experiments, we use a wearable EEG feature signal acquisition device and a systematic reward and punishment experiment to obtain the EEG features before and after behavioral decision-making. The experimental results show that the EEG generated after behavioral decision due to loss is more intense than that generated by gain in the medial frontal cortex (MFC). In addition, different characteristics of EEG signals are generated prior to behavioral decisions because people have different expectations of the outcome. It will produce more significant negative-polarity event-related potential (ERP) in the forebrain area when the humans are optimistic about the outcomes.
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Affiliation(s)
- Jiaquan Shen
- School of Information Science, Luoyang Normal University, Luoyang 471022, China
| | - Ningzhong Liu
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Jiangsu Nanjing 211106, China
| | - Deguang Li
- School of Information Science, Luoyang Normal University, Luoyang 471022, China
| | - Binbin Zhang
- School of Information Science, Luoyang Normal University, Luoyang 471022, China
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Chen C, Long R, Pu Z, Massar SAA. Limited evidence for enhanced working memory performance and effort allocation in the face of loss versus gain incentives: A preregistered (non) replication. Psychophysiology 2022; 59:e14083. [DOI: 10.1111/psyp.14083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Christina Chen
- Sleep and Cognition Laboratory, Centre for Sleep and Cognition, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
| | - Royston Long
- Sleep and Cognition Laboratory, Centre for Sleep and Cognition, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
| | - Zhenghao Pu
- Sleep and Cognition Laboratory, Centre for Sleep and Cognition, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
| | - Stijn A. A. Massar
- Sleep and Cognition Laboratory, Centre for Sleep and Cognition, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
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Watanabe H, Nakajima K, Takagi S, Mizuyama R, Saito M, Furusawa K, Nakatani K, Yokota Y, Kataoka H, Nakajima H, Naruse Y. Differences in Mechanical Parameters of Keyboard Switches Modulate Motor Preparation: A Wearable EEG Study. FRONTIERS IN NEUROERGONOMICS 2021; 2:644449. [PMID: 38235244 PMCID: PMC10790865 DOI: 10.3389/fnrgo.2021.644449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 07/19/2021] [Indexed: 01/19/2024]
Abstract
The mechanical parameters of keyboard switches affect the psychological sense of pressing. The effects of different mechanical parameters on psychological sense have been quantified using questionnaires, but these subjective evaluations are unable to fully clarify the modulation of information processing in the brain due to these differences. This study aimed to elucidate the ability of electroencephalography (EEG) measurements to detect the modulation of subconscious information processing according to mechanical parameter values. To this end, we prepared five mechanical switches with linearly increasing values of pretravel (PT: the distance from the free position until the operating position). We hypothesized that the differences in PTs would subconsciously affect the motor preparation prior to pressing switches because switches with PTs that deviated from those commonly used were predicted to increase the users' attention level when pressing. Differences in motor preparation were quantified using the mean amplitudes of the late contingent negative variation (CNV). We recorded EEGs of 25 gamers during a reaction task for fast switch pressing after a response cue preceded by a pre-cue for response preparation; we also measured the reaction time feedback on each switch pressing trial. Participants performed five sessions (60 trials per session) in total. For the analysis, trials were divided into first (session 1, 2, and 3) and second half sessions (session 4 and 5). In the latter session, CNV amplitudes were significantly higher for the switch with the highest PT than for that with a medium PT, which is closest to that commonly used in commercial mechanical switches. On the other hand, the questionnaire did not detect any significant differences between PTs in their subjective rankings of the psychological effects of switch pressing. These results suggest that differences in PTs modulate motor preparation to press switches, and that EEG measurements may provide a novel objective evaluation of the mechanical parameters of keyboard switches.
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Affiliation(s)
- Hiroki Watanabe
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, and Osaka University, Kobe, Japan
| | - Kae Nakajima
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, and Osaka University, Kobe, Japan
| | | | | | | | | | | | - Yusuke Yokota
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, and Osaka University, Kobe, Japan
| | | | | | - Yasushi Naruse
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, and Osaka University, Kobe, Japan
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