Perceiving

Author(s):  
Daniel D. Hutto ◽  
Erik Myin

Chapter 7 begins to puts REC positive story into action. It opens by questioning the value of appealing to a priori intuitions in trying to understand the character of perceiving. Focusing on explanatory concerns, it revisits Predictive Processing or PPC proposals about perceiving and defuses arguments that the explanatory punch of PPC requires characterizing perceptual processes and products in representational terms. Instead the chapter shows how REC can successfully appropriate the main apparatus of PPC to explain perception. It demonstrates that mental representations are not needed to explain how intramodal and intermodal forms of perceiving integrate. The chapter concludes by showing how contentless forms of perceiving can connect with contentful attitudes, enabling us to make sense of a range of perceptual phenomena – including our capacity to attune to optical effects and the ways in which we respond to visual illusions.

2015 ◽  
Vol 9 (3-4) ◽  
pp. 161 ◽  
Author(s):  
Rebecca S. Schaefer

Music is created in the listener as it is perceived and interpreted - its meaning derived from our unique sense of it; likely driving the range of interpersonal differences found in music processing. Person-specific mental representations of music are thought to unfold on multiple levels as we listen, spanning from an entire piece of music to regularities detected across notes. As we track incoming auditory information, predictions are generated at different levels for different musical aspects, leading to specific percepts and behavioral outputs, illustrating a tight coupling of cognition, perception and action. This coupling, together with a prominent role of prediction in music processing, fits well with recently described ideas about the role of predictive processing in cognitive function, which appears to be especially suitable to account for the role of mental models in musical perception and action. Investigating the cerebral correlates of constructive music imagination offers an experimentally tractable approach to clarifying how mental models of music are represented in the brain. I suggest here that mental representations underlying imagery are multimodal, informed and modulated by the body and its in- and outputs, while perception and action are informed and modulated by predictions based on mental models.  


METOD ◽  
2020 ◽  
pp. 157-173
Author(s):  
Mikhail Sushcin

This article focuses on how the idea of mental representations is understood in an influential modern research program in cognitive science - the program of predictive processing or predictive coding. It is pointed out that, as with earlier programs of classical cognitivism and connectionism, the idea of mental representations is also a crucial element of the program of predictive processing. According to the key assumption of this program, cognition is based on a rich internal generative model of reality that produces predictive perceptual and motor representations of what the organism can interact with at the next moment. The article considers possible challenges to this understanding of mental representations, coming from research in modern vision science and externalist approaches to memory, both in perception and in human practices, mediated by special intellectual artifacts. It is argued that there are no fundamental contradictions between these frameworks, which opens up opportunities for their interaction and integration.


2019 ◽  
Vol 43 ◽  
Author(s):  
Michael Gilead ◽  
Yaacov Trope ◽  
Nira Liberman

Abstract In recent years, scientists have increasingly taken to investigate the predictive nature of cognition. We argue that prediction relies on abstraction, and thus theories of predictive cognition need an explicit theory of abstract representation. We propose such a theory of the abstract representational capacities that allow humans to transcend the “here-and-now.” Consistent with the predictive cognition literature, we suggest that the representational substrates of the mind are built as a hierarchy, ranging from the concrete to the abstract; however, we argue that there are qualitative differences between elements along this hierarchy, generating meaningful, often unacknowledged, diversity. Echoing views from philosophy, we suggest that the representational hierarchy can be parsed into: modality-specific representations, instantiated on perceptual similarity; multimodal representations, instantiated primarily on the discovery of spatiotemporal contiguity; and categorical representations, instantiated primarily on social interaction. These elements serve as the building blocks of complex structures discussed in cognitive psychology (e.g., episodes, scripts) and are the inputs for mental representations that behave like functions, typically discussed in linguistics (i.e., predicators). We support our argument for representational diversity by explaining how the elements in our ontology are all required to account for humans’ predictive cognition (e.g., in subserving logic-based prediction; in optimizing the trade-off between accurate and detailed predictions) and by examining how the neuroscientific evidence coheres with our account. In doing so, we provide a testable model of the neural bases of conceptual cognition and highlight several important implications to research on self-projection, reinforcement learning, and predictive-processing models of psychopathology.


Author(s):  
Joulia Smortchkova ◽  
Krzysztof Dołęga ◽  
Tobias Schlicht

In the introduction we overview the main debates about mental representations. In the first part we focus on three questions. First, what explanatory role do mental representations play in different paradigms of cognitive science, such as classicism, connectionism, dynamical theories, and predictive processing? Second, what criteria do we need to introduce mental representations, and how can we distinguish between non-representational and representational cognitive states? And finally, how can intentionality be naturalized and what are the main challenges for naturalistic theories of intentionality? In the second part of the introduction, we present the individual chapters in the volume, and situate them within the context of broader debates.


2020 ◽  
Author(s):  
Tobias Kube ◽  
Max Berg ◽  
Birgit Kleim ◽  
Philipp Herzog

Predictive processing has become a popular framework in neuroscience and computational psychiatry, where it has provided a new understanding of various mental disorders. Here, we apply the predictive processing account to post-traumatic stress disorder (PTSD). We argue that the experience of a traumatic event in Bayesian terms can be understood as a perceptual hypothesis that is subsequently given a very high a-priori likelihood due to its (life-) threatening significance; thus, this hypothesis is re-selected although it does not fit the actual sensory input. Based on this account, we re-conceptualise the symptom clusters of PTSD through the lens of a predictive processing model. We particularly focus on re-experiencing symptoms as the hallmark symptoms of PTSD, and discuss the occurrence of flashbacks in terms of perceptual and interoceptive inference. This account provides not only a new understanding of the clinical profile of PTSD, but also a unifying framework for the corresponding pathologies at the neurobiological level. Finally, we derive directions for future research and discuss implications for psychological and pharmacological interventions.


2020 ◽  
Vol 43 ◽  
Author(s):  
Martina G. Vilas ◽  
Lucia Melloni

Abstract To become a unifying theory of brain function, predictive processing (PP) must accommodate its rich representational diversity. Gilead et al. claim such diversity requires a multi-process theory, and thus is out of reach for PP, which postulates a universal canonical computation. We contend this argument and instead propose that PP fails to account for the experiential level of representations.


Author(s):  
D. E. Luzzi ◽  
L. D. Marks ◽  
M. I. Buckett

As the HREM becomes increasingly used for the study of dynamic localized phenomena, the development of techniques to recover the desired information from a real image is important. Often, the important features are not strongly scattering in comparison to the matrix material in addition to being masked by statistical and amorphous noise. The desired information will usually involve the accurate knowledge of the position and intensity of the contrast. In order to decipher the desired information from a complex image, cross-correlation (xcf) techniques can be utilized. Unlike other image processing methods which rely on data massaging (e.g. high/low pass filtering or Fourier filtering), the cross-correlation method is a rigorous data reduction technique with no a priori assumptions.We have examined basic cross-correlation procedures using images of discrete gaussian peaks and have developed an iterative procedure to greatly enhance the capabilities of these techniques when the contrast from the peaks overlap.


Author(s):  
H.S. von Harrach ◽  
D.E. Jesson ◽  
S.J. Pennycook

Phase contrast TEM has been the leading technique for high resolution imaging of materials for many years, whilst STEM has been the principal method for high-resolution microanalysis. However, it was demonstrated many years ago that low angle dark-field STEM imaging is a priori capable of almost 50% higher point resolution than coherent bright-field imaging (i.e. phase contrast TEM or STEM). This advantage was not exploited until Pennycook developed the high-angle annular dark-field (ADF) technique which can provide an incoherent image showing both high image resolution and atomic number contrast.This paper describes the design and first results of a 300kV field-emission STEM (VG Microscopes HB603U) which has improved ADF STEM image resolution towards the 1 angstrom target. The instrument uses a cold field-emission gun, generating a 300 kV beam of up to 1 μA from an 11-stage accelerator. The beam is focussed on to the specimen by two condensers and a condenser-objective lens with a spherical aberration coefficient of 1.0 mm.


2019 ◽  
Vol 4 (5) ◽  
pp. 878-892
Author(s):  
Joseph A. Napoli ◽  
Linda D. Vallino

Purpose The 2 most commonly used operations to treat velopharyngeal inadequacy (VPI) are superiorly based pharyngeal flap and sphincter pharyngoplasty, both of which may result in hyponasal speech and airway obstruction. The purpose of this article is to (a) describe the bilateral buccal flap revision palatoplasty (BBFRP) as an alternative technique to manage VPI while minimizing these risks and (b) conduct a systematic review of the evidence of BBFRP on speech and other clinical outcomes. A report comparing the speech of a child with hypernasality before and after BBFRP is presented. Method A review of databases was conducted for studies of buccal flaps to treat VPI. Using the principles of a systematic review, the articles were read, and data were abstracted for study characteristics that were developed a priori. With respect to the case report, speech and instrumental data from a child with repaired cleft lip and palate and hypernasal speech were collected and analyzed before and after surgery. Results Eight articles were included in the analysis. The results were positive, and the evidence is in favor of BBFRP in improving velopharyngeal function, while minimizing the risk of hyponasal speech and obstructive sleep apnea. Before surgery, the child's speech was characterized by moderate hypernasality, and after surgery, it was judged to be within normal limits. Conclusion Based on clinical experience and results from the systematic review, there is sufficient evidence that the buccal flap is effective in improving resonance and minimizing obstructive sleep apnea. We recommend BBFRP as another approach in selected patients to manage VPI. Supplemental Material https://doi.org/10.23641/asha.9919352


Addiction ◽  
1997 ◽  
Vol 92 (12) ◽  
pp. 1671-1698 ◽  
Author(s):  
Project Match Research Group
Keyword(s):  
A Priori ◽  

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