Analysis of predictive coding model with hierarchical reservoir computing for modeling Stroop effects

被引：0

作者：

Terakawa, Haruki ^{[1
]}

Kato, Hideyuki ^{[1
]}

Yonemura, Yoshihiro ^{[2
]}

Katori, Yuichi ^{[2
]}

机构：

[1] Oita Univ, Grad Sch Engn, Fac Sci & Engn, 700 Dannoharu, Oita, Oita 8701192, Japan

[2] Future Univ Hakodate, Sch Syst Informat Sci, 116-2 Kamedanakano Cho, Hakodate, Hokkaido 0418655, Japan

来源：

2023 20TH INTERNATIONAL SOC DESIGN CONFERENCE, ISOCC | 2023年

关键词：

visual information processing; reservoir computing; Stroop effects; recognition; misrecognition;

D O I：

10.1109/ISOCC59558.2023.10396189

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Human beings take many times to recognize or even misrecognize some visual information because of the mismatch of colors and meanings under some situations, that is called Stroop effects. Including Stroop effects, the cognitive process of the brain is still elusive. As a first step of understanding the cognitive process, we construct and analyze a predictive coding model with hierarchical reservoir computing for modeling Stroop effects in this study. The model learns respectively colors, a shape, and a gender of normal images where a pictogram is illustrated, and that predicts their gender from the input images. Normal and abnormal images are applied to the model, whose gender predictions succeed by 90% for the normals but by 18% for the abnormals.

引用

页码：257 / 258

页数：2

共 9 条

[1] On the application of reservoir computing networks for noisy image recognition
Jalalvand, Azarakhsh
Demuynck, Kris
De Neve, Wesley
Martens, Jean-Pierre
[J]. NEUROCOMPUTING, 2018, 277 : 237 - 248
[2] Kitagami S., 2009, P JAP SOC COGN PSYCH, P19
[3] Komatsu H., 1993, Vision, V5, P183
[4] Komatsu H., 1991, Biophysics, V31, P143
[5] Manabe T., 2013, Neuroscience Illustrated: From Molecules and Cells to Experimental Techniques
[6] Nagano S., 1993, Information processing in the visual system: Psychology Neuroscience Approaches from information engineering
[7] Sakai K., 1994, The Biophysical Society of Japan, V34, P179
[8] Tanaka G., 2021, Reservoir computing: Theory of fast machine learning for recognition of time series patterns and hardware
[9] Network model of predictive coding based on reservoir computing for multi-modal processing of visual and auditory signals
Yonemura, Yoshihiro
Katori, Yuichi
[J]. IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2021, 12 (02): : 143 - 156

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