Neural Mechanisms of Object Recognition

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Social Cognitive and Affective Neuroscience".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 3365

Special Issue Editors


E-Mail Website
Guest Editor
​Institute for Convergence Science and Technology, Sharif University of Technology, Tehran, Iran
Interests: cognitive neuroscience; computational neuroscience; decision neuroscience; object recognition; applied neuroscience

E-Mail Website
Guest Editor
Mater Research Institute, Faculty of Medicine, University of Queensland, Brisbane, Australia
Interests: visual object recognition; neuroimaging; computational neuroscience

Special Issue Information

Dear Colleagues,

Humans are astonishingly good at recognising visual objects despite drastic variations in their appearances. To understand how the brain handles these variations, several promising approaches have been developed in recent years. First, high-resolution brain imaging techniques, including unimodal and multimodal (e.g., fusion-based E/MEG-fMRI) and high-dimensional brain imaging analyses, such as representational similarity and connectivity analyses, have paved the way for obtaining high temporal and spatial insights into the brain. These allow the evaluation of temporal evolution and spatial distribution of representations, which is critical for characterising the role of high-speed feed-forward and recurrent mechanisms across the visual cortex, as well as temporal decision-making mechanisms. This is especially important for uncertain and degraded sensory inputs. Despite recent progress, the role of recurrent and feedback processes in object recognition remains underinvestigated. Second, the development of ground-breaking deep artificial neural networks (DANNs) has provided new tools to evaluate plausible mathematical operations which might contribute to robust object recognition under variations such as occlusion, lighting and background. These networks have not only revolutionised artificial intelligence in many applications, outperforming humans in several of them, but have also revealed unknown characteristics of the visual system. For example, they have shown the possible selectivity of individual neurons and neuron populations to object category and category–orthogonal variations, and have shown how such selectivity can lead to incorrect categorisation of objects, as in the case of adversarial images. This Special Issue is dedicated to original research on neural mechanisms of object recognition, particularly novel methods in brain imaging analysis and comparing DANNs to biological vision.

Dr. Reza Ebrahimpour
Dr. Hamid Karimi-Rouzbahani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • object recognition
  • temporal dynamics
  • recurrent processing
  • decision making
  • deep artificial neural networks

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 4098 KiB  
Article
Brain Functional Representation of Highly Occluded Object Recognition
by Bao Li, Chi Zhang, Long Cao, Panpan Chen, Tianyuan Liu, Hui Gao, Linyuan Wang, Bin Yan and Li Tong
Brain Sci. 2023, 13(10), 1387; https://doi.org/10.3390/brainsci13101387 - 29 Sep 2023
Cited by 1 | Viewed by 1193
Abstract
Recognizing highly occluded objects is believed to arise from the interaction between the brain’s vision and cognition-controlling areas, although supporting neuroimaging data are currently limited. To explore the neural mechanism during this activity, we conducted an occlusion object recognition experiment using functional magnetic [...] Read more.
Recognizing highly occluded objects is believed to arise from the interaction between the brain’s vision and cognition-controlling areas, although supporting neuroimaging data are currently limited. To explore the neural mechanism during this activity, we conducted an occlusion object recognition experiment using functional magnetic resonance imaging (fMRI). During magnet resonance examinations, 66 subjects engaged in object recognition tasks with three different occlusion degrees. Generalized linear model (GLM) analysis showed that the activation degree of the occipital lobe (inferior occipital gyrus, middle occipital gyrus, and occipital fusiform gyrus) and dorsal anterior cingulate cortex (dACC) was related to the occlusion degree of the objects. Multivariate pattern analysis (MVPA) further unearthed a considerable surge in classification precision when dACC activation was incorporated as a feature. This suggested the combined role of dACC and the occipital lobe in occluded object recognition tasks. Moreover, psychophysiological interaction (PPI) analysis disclosed that functional connectivity (FC) between the dACC and the occipital lobe was enhanced with increased occlusion, highlighting the necessity of FC between these two brain regions in effectively identifying exceedingly occluded objects. In conclusion, these findings contribute to understanding the neural mechanisms of highly occluded object recognition, augmenting our appreciation of how the brain manages incomplete visual data. Full article
(This article belongs to the Special Issue Neural Mechanisms of Object Recognition)
Show Figures

Figure 1

10 pages, 763 KiB  
Article
Association between Reaction Times in the Joint Simon Task and Personality Traits
by Shun Irie, Atsumichi Tachibana and Akiko Matsuo
Brain Sci. 2023, 13(8), 1207; https://doi.org/10.3390/brainsci13081207 - 15 Aug 2023
Viewed by 1428
Abstract
Joint go and no-go effects (joint Simon effects; JSEs) are considered to have a stimulus–response compatibility effect on joint reaction time tasks (joint Simon task) caused by the presence of other people. Additionally, JSEs are known to be associated with various social factors [...] Read more.
Joint go and no-go effects (joint Simon effects; JSEs) are considered to have a stimulus–response compatibility effect on joint reaction time tasks (joint Simon task) caused by the presence of other people. Additionally, JSEs are known to be associated with various social factors and are therefore a potential clinical marker for communicative function; however, the relationship with the personality that is associated with communication skills remains unclear. In this study, we focused on the association between JSE and personality traits. Thirty Japanese participants (fifteen women) were recruited. First, personality trait scores were obtained using the Japanese version of the ten-item personality inventory before the experiment. Second, we measured reaction times in the joint Simon task and single go and no-go tasks with the go signal presented on the congruent and incongruent sides. At last, we analyzed the association between reaction times and personality traits by using Spearman’s correlation analysis. As a result, we observed two pairs with significant correlations: JSE and neuroticism and short reaction times in the joint condition and agreeableness. In conclusion, we identified potential psychological markers associated with the joint Simon task. These findings may lead to an additional hypothesis regarding the neurobiological mechanisms of JSEs. Full article
(This article belongs to the Special Issue Neural Mechanisms of Object Recognition)
Show Figures

Figure 1

Back to TopTop