NDLI: Object similarity affects the perceptual strategy underlying invariant visual object recognition in rats

Content Provider	PubMed Central
Author	Rosselli, Federica B. Alemi, Alireza Alessio, Ansuini Davide, Zoccolan
Copyright Year	2015
Abstract	In recent years, a number of studies have explored the possible use of rats as models of high-level visual functions. One central question at the root of such an investigation is to understand whether rat object vision relies on the processing of visual shape features or, rather, on lower-order image properties (e.g., overall brightness). In a recent study, we have shown that rats are capable of extracting multiple features of an object that are diagnostic of its identity, at least when those features are, structure-wise, distinct enough to be parsed by the rat visual system. In the present study, we have assessed the impact of object structure on rat perceptual strategy. We trained rats to discriminate between two structurally similar objects, and compared their recognition strategies with those reported in our previous study. We found that, under conditions of lower stimulus discriminability, rat visual discrimination strategy becomes more view-dependent and subject-dependent. Rats were still able to recognize the target objects, in a way that was largely tolerant (i.e., invariant) to object transformation; however, the larger structural and pixel-wise similarity affected the way objects were processed. Compared to the findings of our previous study, the patterns of diagnostic features were: (i) smaller and more scattered; (ii) only partially preserved across object views; and (iii) only partially reproducible across rats. On the other hand, rats were still found to adopt a multi-featural processing strategy and to make use of part of the optimal discriminatory information afforded by the two objects. Our findings suggest that, as in humans, rat invariant recognition can flexibly rely on either view-invariant representations of distinctive object features or view-specific object representations, acquired through learning.
Related Links	http://dx.doi.org/10.3389/fncir.2015.00010
Starting Page	10
File Format	PDF
ISSN	16625110
e-ISSN	16625110
Journal	Frontiers in Neural Circuits
Volume Number	9
Language	English
Publisher	Frontiers Media S.A.
Publisher Date	2015-03-01
Access Restriction	Open
Rights Holder	Frontiers Media S.A.
Subject Keyword	Sensory Systems Cognitive Neuroscience Cellular and Molecular Neuroscience Neuroscience (miscellaneous) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Cognitive Neuroscience Sensory Systems Cellular and Molecular Neuroscience

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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