Neuromorphic Perceptual Systems with Emerging Devices

2021 ◽  
pp. 217-233
Author(s):  
Ying Zhu ◽  
Changjin Wan ◽  
Qing Wan
Keyword(s):  
2016 ◽  
Author(s):  
David Barner

Perceptual representations – e.g., of objects or approximate magnitudes –are often invoked as building blocks that children combine with linguisticsymbols when they acquire the positive integers. Systems of numericalperception are either assumed to contain the logical foundations ofarithmetic innately, or to supply the basis for their induction. Here Ipropose an alternative to this general framework, and argue that theintegers are not learned from perceptual systems, but instead arise toexplain perception as part of language acquisition. Drawing oncross-linguistic data and developmental data, I show that small numbers(1-4) and large numbers (~5+) arise both historically and in individualchildren via entirely distinct mechanisms, constituting independentlearning problems, neither of which begins with perceptual building blocks.Specifically, I propose that children begin by learning small numbers(i.e., *one, two, three*) using the same logical resources that supportother linguistic markers of number (e.g., singular, plural). Several yearslater, children discover the logic of counting by inferring the logicalrelations between larger number words from their roles in blind countingprocedures, and only incidentally associate number words with perception ofapproximate magnitudes, in an *ad hoc* and highly malleable fashion.Counting provides a form of explanation for perception but is not causallyderived from perceptual systems.


2018 ◽  
Author(s):  
David Barner

Why did humans develop precise systems for measuring experience, like numbers, clocks, andcalendars? I argue that precise representational systems were constructed by earlier generationsof humans because they recognized that their noisy perceptual systems were not capturingdistinctions that existed in the world. Abstract symbolic systems did not arise from perceptualrepresentations, but instead were constructed to describe and explain perceptual experience. Byanalogy, I argue that when children learn number words, they do not rely on noisy perceptualsystems, but instead acquire these words as units in a broader system of procedures, whosemeanings are ultimately defined by logical relations to one another, not perception.


2019 ◽  
Author(s):  
William J. Brady ◽  
Ana P. Gantman ◽  
Jay Joseph Van Bavel

Our social media newsfeeds are filled with a variety of content all battling for our limited attention. Across three studies, we investigated whether moral and emotional content captures our attention more than other content and if this may help explain why this content is more likely to go viral online. Using a combination of controlled lab experiments and nearly 50,000 political tweets, we found that moral and emotional content are prioritized in early visual attention more than neutral content, and that such attentional capture is associated with increased retweets during political conversations online. Furthermore, we found that the differences in attentional capture among moral and emotional stimuli could not be fully explained by differences in arousal. These studies suggest that attentional capture is one basic psychological process that helps explain the increased diffusion of moral and emotional content during political discourse on social media, and shed light on ways in which political leaders, disinformation profiteers, marketers, and activist organizations can spread moralized content by capitalizing on natural tendencies of our perceptual systems.


Author(s):  
Joel Z. Leibo ◽  
Tomaso Poggio

This chapter provides an overview of biological perceptual systems and their underlying computational principles focusing on the sensory sheets of the retina and cochlea and exploring how complex feature detection emerges by combining simple feature detectors in a hierarchical fashion. We also explore how the microcircuits of the neocortex implement such schemes pointing out similarities to progress in the field of machine vision driven deep learning algorithms. We see signs that engineered systems are catching up with the brain. For example, vision-based pedestrian detection systems are now accurate enough to be installed as safety devices in (for now) human-driven vehicles and the speech recognition systems embedded in smartphones have become increasingly impressive. While not being entirely biologically based, we note that computational neuroscience, as described in this chapter, makes up a considerable portion of such systems’ intellectual pedigree.


Synthese ◽  
2017 ◽  
Vol 195 (6) ◽  
pp. 2367-2386 ◽  
Author(s):  
Nico Orlandi
Keyword(s):  

1998 ◽  
Vol 06 (03) ◽  
pp. 265-279 ◽  
Author(s):  
Shimon Edelman

The paper outlines a computational approach to face representation and recognition, inspired by two major features of biological perceptual systems: graded-profile overlapping receptive fields, and object-specific responses in the higher visual areas. This approach, according to which a face is ultimately represented by its similarities to a number of reference faces, led to the development of a comprehensive theory of object representation in biological vision, and to its subsequent psychophysical exploration and computational modeling.


Perception ◽  
1989 ◽  
Vol 18 (6) ◽  
pp. 739-751 ◽  
Author(s):  
Christian Marendaz

Interindividual differences in field dependence—independence (FDI) which emerge in situations of vision—posture conflict when subjects are required to orient their bodies vertically were investigated. The first aim was to see whether the same interindividual differences are found in judgements of the orientation of forms in focal vision in which subjects have to deal with conflicting spatial references processed by different sensory modalities. The second aim was to test the idea that the FDI dimension is due to functional habits linked to balancing. Subjects performed Kopfermann's (1930) shape-orientation task in either a stable (experiment 1) or an unstable (experiment 2) postural condition. Results showed that the FDI dimension comes into play in the solution of the Kopfermann shape orientation task, and that there is an interactive link between FDI and postural balance, consistent with theoretical expectations. More generally, it appears that the ‘choice’ of a spatial reference system is the product of both individual and situational characteristics, and that the ‘vicariance’ (or inter-changeability) of the sensory systems dealing with gravitational upright is at the basis of this interaction.


2002 ◽  
Vol 357 (1420) ◽  
pp. 419-448 ◽  
Author(s):  
Wilson S. Geisler ◽  
Randy L. Diehl

In recent years, there has been much interest in characterizing statistical properties of natural stimuli in order to better understand the design of perceptual systems. A fruitful approach has been to compare the processing of natural stimuli in real perceptual systems with that of ideal observers derived within the framework of Bayesian statistical decision theory. While this form of optimization theory has provided a deeper understanding of the information contained in natural stimuli as well as of the computational principles employed in perceptual systems, it does not directly consider the process of natural selection, which is ultimately responsible for design. Here we propose a formal framework for analysing how the statistics of natural stimuli and the process of natural selection interact to determine the design of perceptual systems. The framework consists of two complementary components. The first is a maximum fitness ideal observer, a standard Bayesian ideal observer with a utility function appropriate for natural selection. The second component is a formal version of natural selection based upon Bayesian statistical decision theory. Maximum fitness ideal observers and Bayesian natural selection are demonstrated in several examples. We suggest that the Bayesian approach is appropriate not only for the study of perceptual systems but also for the study of many other systems in biology.


2015 ◽  
Vol 19 (2) ◽  
pp. 261-263 ◽  
Author(s):  
KAREN EMMOREY ◽  
MARCEL R. GIEZEN ◽  
TAMAR H. GOLLAN

The commentaries on our Keynote article “Psycholinguistic, cognitive, and neural implications of bimodal bilingualism” were enthusiastic about what can be learned by studying bilinguals who acquire two languages that are understood via distinct perceptual systems (vision vs. audition) and that are produced with distinct linguistic articulators (the hands vs. the vocal tract). The authors also brought out several new ideas, extensions, and issues related to bimodal bilingualism, which we discuss in this reply.


2000 ◽  
Vol 6 (1) ◽  
pp. 71-75 ◽  
Author(s):  
KIMFORD J. MEADOR ◽  
EUGENE E. MOORE ◽  
ROY C. MARTIN ◽  
DAVID W. LORING ◽  
DAVID C. HESS ◽  
...  

In a previous study, we demonstrated that unilateral cerebral lesions produce hypometric limb movements of the contralateral arm and hemispatial (i.e., directional) hypometria for movements towards contralateral hemispace. In the present study, we investigated 10 patients with right cerebral lesions and 25 healthy controls using a task to uncouple deficits in sensory perceptual systems and motor-action output systems on directional hypometria. This task required participants, with their eyes closed, to reproduce lateral and medial horizontal displacements (15–27 cm) with each arm. Each participant was seated at a waist high table and had their hand placed at an origin point aligned with the axillary fold on the same side. Their hand was moved by the investigator from the origin point to a target point and brought back to the point of origin (input displacement). The participant was then asked to return their hand to either the same target point or to an equidistant target point in the opposite direction. Healthy dextral participants were significantly more hypometric with their right arm, but patients with right cerebral lesions exhibited an opposite pattern with overall left arm hypometria. In addition, patients were significantly more hypometric for movements when output displacements were toward left hemispace. No effect was found for direction of sensory input. The results suggest that the directional hypometria is predominantly produced by hemispatial output deficits. (JINS, 2000, 6, 71–75.)


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