Feedforward and Feedback Processes in Vision

Feedforward and Feedback Processes in Vision

Author: Hulusi Kafaligonul

Publisher: Frontiers Media SA

Published: 2015-07-10

Total Pages: 153

ISBN-13: 2889195945

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The visual system consists of hierarchically organized distinct anatomical areas functionally specialized for processing different aspects of a visual object (Felleman & Van Essen, 1991). These visual areas are interconnected through ascending feedforward projections, descending feedback projections, and projections from neural structures at the same hierarchical level (Lamme et al., 1998). Accumulating evidence from anatomical, functional and theoretical studies suggests that these three projections play fundamentally different roles in perception. However, their distinct functional roles in visual processing are still subject to debate (Lamme & Roelfsema, 2000). The focus of this Research Topic is the roles of feedforward and feedback projections in vision. Even though the notions of feedforward, feedback, and reentrant processing are widely accepted, it has been found difficult to distinguish their individual roles on the basis of a single criterion. We welcome empirical contributions, theoretical contributions and reviews that fit into any one (or a combination) of the following domains: 1) their functional roles for perception of specific features of a visual object 2) their contributions to the distinct modes of visual processing (e.g., pre-attentive vs. attentive, conscious vs. unconscious) 3) recent techniques/methodologies to identify distinct functional roles of feedforward and feedback projections and corresponding neural signatures. We believe that the current Research Topic will not only provide recent information about feedforward/feedback processes in vision but also contribute to the understanding fundamental principles of cortical processing in general.


Towards an Integrated Model of Feedforward-feedback Processing in the Visual Cortex

Towards an Integrated Model of Feedforward-feedback Processing in the Visual Cortex

Author: Ivaylo P. Riskov

Publisher:

Published: 2008

Total Pages: 174

ISBN-13:

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The goal of this work is to explore a potential improvement on a visual recognition system. The system is a biologically-plausible computational model of the feedforward part of the ventral stream in the visual cortex and successfully models human performance on visual recognition tasks for the first 50-100 milliseconds since the presentation of the visual stimulus. We make the first steps to a possible augmentation of the system that will account for both feedforward and feedback processes in the ventral stream. We explore the plausibility of Bayesian network models for feedback. Our results show that although the resulting system under performs the original, it has a better rate of improvement as more and more training examples are added to it.


Feedforward Contributions to Sensory Response Properties in the Early Visual System

Feedforward Contributions to Sensory Response Properties in the Early Visual System

Author: Bartlett Doe Moore

Publisher:

Published: 2010

Total Pages:

ISBN-13: 9781124025605

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The unique ecological utility provided by the complex sensory processing that occurs in the brains of visual animals cannot be over appreciated. Psychologists, physiologists, mathematicians, and philosophers, among others, have subjected vision in humans and non-human animals to intense scrutiny. Perhaps the most studied regions of the mammalian visual system are the early visual pathways: the retina, the dorsal lateral geniculate nucleus of the thalamus (LGN), and area 17 of the primary visual cortex (V1). This dissertation was conceived and conducted to elucidate some of the contributions of feedforward processes to sensory responses in the early visual system. Extracellular recordings were collected from individual neurons in the retina, visual thalamus, and primary visual cortex of cats, and the primary visual cortex of ferrets while controlling the sensory input to the system. These methods were used to characterize five distinct features of information processing: 1) the influence of stimulus temporal frequency on orientation tuning in V1 neurons, 2) the influence of stimulus temporal frequency on direction selectivity in V1 neurons, 3) the response properties of LGN neurons in the absence of On-center retinal input, 4) the orientation tuning in V1 neurons in the absence of On-center LGN input, and 5) the direction selectivity of V1 neurons in the absence of On-center LGN input. The results presented in the following chapters show that the paradigmatic feedforward model of processing in the early visual system and its contribution to neuronal response properties requires further refinement. The work presented in chapter 2 show that the direction selectivity--but not orientation tuning--of ferret V1 neurons is dependant on the temporal frequency of stimuli, suggesting that stability of orientation tuning is an important aspect of early visual processing. The work presented in chapter 3 suggest there is more frequent divergence of connections in the retinogeniculate pathway of the cat than previously recognized and that functionally silent, non-specific retinal inputs can undergo rapid plasticity when the On pathway is disrupted. The work presented in chapter 4 investigates the response properties of V1 neurons in the absence of On-center LGN activity. The results show that while orientation tuning is resilient to the reduction in feedforward input, direction selectivity behaves more erratically. The early visual system is the computational foundation upon which more complex features are detected in the visual environment. In order to understand how visual processing in later visual pathways is accomplished, it is critical that the feedforward contributions to response properties in the early visual pathways be understood.


Vision and the Visual System

Vision and the Visual System

Author: Peter H. Schiller

Publisher: Oxford University Press, USA

Published: 2015

Total Pages: 441

ISBN-13: 0199936536

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'Vision and the Visual System' offers students, teachers and researchers a rigorous, yet accessible account of how the brain analyses the visual scene. Schiller and Tehovnik describe key aspects of visual perception such as colour, motion, pattern and depth while explaining the relationship between eye movements and neural structures in the brain.


Visual Perception Part 1

Visual Perception Part 1

Author: Susana Martinez-Conde

Publisher: Elsevier

Published: 2006-10-05

Total Pages: 341

ISBN-13: 0080466087

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This book presents a collection of articles reflecting state-of-the-art research in visual perception, specifically concentrating on neural correlates of perception. Each section addresses one of the main topics in vision research today. Volume 1 Fundamentals of Vision: Low and Mid-Level Processes in Perception covers topics from receptive field analyses to shape perception and eye movements. A variety of methodological approaches are represented, including single-neuron recordings, fMRI and optical imaging, psychophysics, eye movement characterization and computational modelling. The contributions will provide the reader with a valuable perspective on the current status of vision research, and more importantly, with critical insight into future research directions and the discoveries yet to come.· Provides a detailed breakdown of the neural and psychophysical bases of Perception · Presents never-before-published original discoveries · Includes multiple full-color illustrations


Hierarchical Object Representations in the Visual Cortex and Computer Vision

Hierarchical Object Representations in the Visual Cortex and Computer Vision

Author: Antonio Rodríguez-Sánchez

Publisher: Frontiers Media SA

Published: 2016-06-08

Total Pages: 292

ISBN-13: 2889197980

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Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations.


Twin Mechanisms: Rapid Scene Recognition Involves Both Feedforward and Feedback Processing

Twin Mechanisms: Rapid Scene Recognition Involves Both Feedforward and Feedback Processing

Author: Xukun Zhang

Publisher:

Published: 2017

Total Pages:

ISBN-13:

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The low spatial frequency (LSF) component of visual stream rapidly conveyed coarse information for global perception, while the high spatial frequency (HSF) component delivered fine-grained information for detailed analyses. Early feedforward theorists deemed that a coarse-to-fine process was sufficient for a rapid scene recognition. However, some researchers discovered some early local recurrent processing in the primary visual cortex. Based on the response priming paradigm, the present study aimed to deeply explore how different spatial frequency interacted each other in the process of rapid scene recognition. Resulted from rapid recognition of prime scenes, Experiment 1 revealed a typical response priming effect. But in Experiment 2, when the HSF and the LSF components of the same pictures were presented in a rapid sequence, neither the LSF-to-HSF sequence nor the HSF-to-LSF sequence reproduced the response priming effect. These results demonstrated that LSF or HSF component alone was not sufficient for rapid scene recognition and, further, the integration of different spatial frequency needed some early feedback loops.


Visual Masking

Visual Masking

Author: Bruno Breitmeyer

Publisher: Oxford University Press, USA

Published: 2006-04-20

Total Pages: 383

ISBN-13: 0198530676

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Where most current approaches to the study of visual consciousness adopt a 'steady-state' view, the approach presented in this book explores its dynamic properties down to a resolution in the millisecond range."--BOOK JACKET.