This paper examines the applicability of the object concept to the chemical senses, by evaluating them against a set of criteria for object-hood. Taste and chemesthesis do not generate objects. Their parts, perceptible from birth, never combine. Orthonasal olfaction (sniffing) presents a strong case for generating objects. Odorants have many parts yet they are perceived as wholes, this process is based on learning, and there is figure-ground segregation. While flavors are multimodal representations bound together by learning, there is no functional (...) need for flavor objects in the mouth. Rather, food identification occurs prior to ingestion using the eye and nose, with the latter retrieving multimodal flavor objects via sniffing (e.g., sweet smelling caramel). While there are differences in object perception between vision, audition, and orthonasal olfaction, the commonalities suggest that the brain has adopted the same basic solution when faced with extracting meaning from complex stimulus arrays. (shrink)

Philosophical accounts of narrative fiction can be loosely divided into two types. Participant accounts argue that some sort of simulation, or 1st person perspective taking plays a critical role in our engagement with narratives. Observer accounts argue to the contrary that we primarily engage narrative fictions from a 3rd person point of view, as either side participants or outside observers. Recent psychological research suggests a means to evaluate this debate. The perception of distance and slope is influenced by the energetic (...) (e.g., task difficulty) and emotional (e.g., anxiety) costs of actions. These effects are limited to increases in the costs of actions agents intend to perform themselves, generalize to cases where participants imagine acting, and demonstrate a role for tacit motor simulation in action planning. If participant accounts are sound, one should, therefore, find similar effects across changes in the interpretation of the costs of actions depicted in static images. We asked people to copy the rough spatial layout of two paintings across different interpretations of the costs of the actions they depicted. We predicted that increasing costs would cause participants to draw distances as longer and hills as steeper. Our results confirm this prediction for the energetic, but not the emotional, costs of actions. (shrink)

Artists, art critics, art historians, and cognitive psychologists have asserted that visual artists perceive the world differently than nonartists and that these perceptual abilities are the product of knowledge of techniques for working in an artistic medium. In support of these claims, Kozbelt (2001) found that artists outperform nonartists in visual analysis tasks and that these perceptual advantages are statistically correlated with drawing skill. We propose a model to explain these results that is derived from a diagnostic framework for object (...) recognition and recent research in cognitive neuroscience on selective visual attention. This research demonstrates that endogenous shifts of visual attention enhance the encoding of expected features in the visual field and inhibit the perception of potential distracters. Moreover, it demonstrates complementary roles for spatial schemata and motor plans in visual attention. We argue that artists develop novel spatial schemata, which enable them to recognize and reproduce stimulus features sufficient for adequate artistic production in a medium, and that these schemata become encoded as motor plans as artists develop technical proficiency in a medium. We hypothesize that artists' perceptual advantages can therefore, be explained by the role spatial schemata and motor plans play in selective attention. (shrink)

The relationship between perceptual categorization and organization processes in 3‐ to 4‐month‐old infants was explored. The question was whether an invariant part abstracted during category learning could interfere with Gestalt organizational processes. Experiment 1 showed that the infants could parse a circle in accord with good continuation from visual patterns consisting of a circle and a complex polygon. In Experiments 2 and 3, however, this parsing was interfered with by a prior category familiarization experience in which infants were presented with (...) visual patterns consisting of a pacman shape and a complex polygon. Part 1 of Experiments 2 and 3 showed that the infants recognized the pacman as familiar, and Part 2 demonstrated that the representation of the pacman blocked the subsequent parsing of the circle. The results suggest that a cognitive system of flexible feature creation can override organizational principles with which a perceptual system may come pre‐equipped. (shrink)

We address the problem of predicting how people will spontaneously divide into groups a set of novel items. This is a process akin to perceptual organization. We therefore employ the simplicity principle from perceptual organization to propose a simplicity model of unconstrained spontaneous grouping. The simplicity model predicts that people would prefer the categories for a set of novel items that provide the simplest encoding of these items. Classification predictions are derived from the model without information either about the number (...) of categories sought or information about the distributional properties of the objects to be classified. These features of the simplicity model distinguish it from other models in unsupervised categorization (where, for example, the number of categories sought is determined via a free parameter), and we discuss how these computational differences are related to differences in modeling objectives. The predictions of the simplicity model are validated in four experiments. We also discuss the significance of simplicity in cognitive modeling more generally. (shrink)

Through computational modeling, here we examine whether visual and task characteristics of writing systems alone can account for lateralization differences in visual word recognition between different languages without assuming influence from left hemisphere (LH) lateralized language processes. We apply a hemispheric processing model of face recognition to visual word recognition; the model implements a theory of hemispheric asymmetry in perception that posits low spatial frequency biases in the right hemisphere and high spatial frequency (HSF) biases in the LH. We show (...) two factors that can influence lateralization: (a) Visual similarity among words: The more similar the words in the lexicon look visually, the more HSF/LH processing is required to distinguish them, and (b) Requirement to decompose words into graphemes for grapheme-phoneme mapping: Alphabetic reading (involving grapheme-phoneme conversion) requires more HSF/LH processing than logographic reading (no grapheme-phoneme mapping). These factors may explain the difference in lateralization between English and Chinese orthographic processing. (shrink)

The investigation of visual categorization has recently been aided by the introduction of deep convolutional neural networks (CNNs), which achieve unprecedented accuracy in picture classification after extensive training. Even if the architecture of CNNs is inspired by the organization of the visual brain, the similarity between CNN and human visual processing remains unclear. Here, we investigated this issue by engaging humans and CNNs in a two‐class visual categorization task. To this end, pictures containing animals or vehicles were modified to contain (...) only low/high spatial frequency (HSF) information, or were scrambled in the phase of the spatial frequency spectrum. For all types of degradation, accuracy increased as degradation was reduced for both humans and CNNs; however, the thresholds for accurate categorization varied between humans and CNNs. More remarkable differences were observed for HSF information compared to the other two types of degradation, both in terms of overall accuracy and image‐level agreement between humans and CNNs. The difficulty with which the CNNs were shown to categorize high‐passed natural scenes was reduced by picture whitening, a procedure which is inspired by how visual systems process natural images. The results are discussed concerning the adaptation to regularities in the visual environment (scene statistics); if the visual characteristics of the environment are not learned by CNNs, their visual categorization may depend only on a subset of the visual information on which humans rely, for example, on low spatial frequency information. (shrink)