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Open AccessDissertation

Experience-based cortical plasticity in object category representation

TLDR
It is easier to discriminate between an apple and a pear as between two types of pears, which suggests that the neural representation of object categories is plastic, and changes as a result of experience.
Abstract
Een wetenschappelijke proeve op het gebied van de sociale wetenschappen Proefschrift ter verkrijging van de graad van doctor aan de Radboud Universiteit Nijmegen op gezag van de rector magnificus prof. mr. Contents Chapter 1 General introduction and outline 9 Chapter 2 Birds of a feather flock together: Experience-driven formation of visual object categories in human ventral temporal cortex 21 Chapter 3 Formation of category representations in superior temporal sulcus 4 3 Chapter 4 Category training induces crossmodal object representations in the adult human brain 6 1 Chapter 5 Task-and experience-dependent cortical selectivity to features informative for categorization 8 5 Chapter 6 Summary and discussion 107 Chapter 7 Nederlandse samenvatting 113 Acknowledgements 122 Biography 123 List of publications 123 Donders Graduate School for Cognitive Neuroscience Series 124 General introduction and outline 1 10 General introduction and outline R ecognizing objects and categorizing them starts already at a very young age and continues throughout adulthood. Experience continuously shapes the borders of existing categories and creates even entirely new categories. As such we can easily assign a novel instance of a known object to its category and at the same time we can discriminate between objects that look similar but are in fact different exemplars of the same category e.g. a pear and an apple. This shows that our visual system is capable of both generalization and discrimination. These are the key points of categorization. Moreover, when more skilled in recognizing fruit, for example because of working in the fruit department of a grocery store, one might even be able to distinguish a Bartlett pear from an Anjou pear (Fig 1.1). This suggests that the neural representation of object categories is plastic, and changes as a result of experience. The research in this thesis was designed to investigate experience-dependent plasticity in the representation of object categories. In the experiments in this thesis subjects were trained to differentiate between categories of computer-generated birds (Chapters 2, 3, and 4) and fish (Chapter 5). These stimuli are very difficult to distinguish without any form of training. We used behavioural measures in combination with a non-invasive brain imaging technique (functional magnetic resonance imaging, see box 1) to get insight on experience-based changes in cortical representations. Figure 1.1 It is easier to discriminate between an apple and a pear as between two types of pears. Categorization Categorization takes place at several levels of abstraction (Rosch, Mervis, Gray, Johnson, …

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Citations
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Separate face and body selectivity on the fusiform gyrus

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Top-down task effects overrule automatic multisensory responses to letter-sound pairs in auditory association cortex

TL;DR: The present event-related fMRI study was designed to address two questions that could not directly be addressed in the previous studies, due to their passive nature and blocked design: whether the enhancement/suppression of auditory cortex are truly multisensory integration effects or can be explained by different attention levels during congruent/incongruent blocks.
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Motor performance in individuals with cerebral small vessel disease: an MRI study

K.F. de Laat
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References
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Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Book

Co-planar stereotaxic atlas of the human brain : 3-dimensional proportional system : an approach to cerebral imaging

TL;DR: Direct and Indirect Radiologic Localization Reference System: Basal Brain Line CA-CP Cerebral Structures in Three-Dimensional Space Practical Examples for the Use of the Atlas in Neuroradiologic Examinations Three- Dimensional Atlas of a Human Brain Nomenclature-Abbreviations Anatomic Index Conclusions.
Journal ArticleDOI

The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception

TL;DR: The data allow us to reject alternative accounts of the function of the fusiform face area (area “FF”) that appeal to visual attention, subordinate-level classification, or general processing of any animate or human forms, demonstrating that this region is selectively involved in the perception of faces.
Journal ArticleDOI

Thresholding of statistical maps in functional neuroimaging using the false discovery rate.

TL;DR: This paper introduces to the neuroscience literature statistical procedures for controlling the false discovery rate (FDR) and demonstrates this approach using both simulations and functional magnetic resonance imaging data from two simple experiments.
Journal ArticleDOI

Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex

TL;DR: The functional architecture of the object vision pathway in the human brain was investigated using functional magnetic resonance imaging to measure patterns of response in ventral temporal cortex while subjects viewed faces, cats, five categories of man-made objects, and nonsense pictures, and a distinct pattern of response was found for each stimulus category.