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Neuroscience-driven Visual Representation

Neuroscience-driven Visual Representation
Author: Teng Li
Publisher: Frontiers Media SA
Total Pages: 134
Release: 2024-08-14
Genre: Science
ISBN: 2832553222

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Visual representation learning enables computers or systems to simulate the function of retinas, optic nerves, and visual cortex in the human brain, and derive meaningful information from digital images, videos, and other visual inputs. To learn the effective presentation of visual data is essential for many computer vision and artificial intelligence applications ranging from energy and utilities to manufacturing and automotive. Current popular deep learning-based visual representation learning methods do not fully consider the nature of the biological visual nervous system and are lack in interpretability. To solve visual representation well, the integration of psychological or neuroscientific approaches is required to enhance the cognition of visual data.


The Roots of Visual Depiction in Art

The Roots of Visual Depiction in Art
Author: Derek Hodgson
Publisher: Cambridge Scholars Publishing
Total Pages: 198
Release: 2019-04-01
Genre: Art
ISBN: 1527532453

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Why ancient humans first began to represent animals is a question that has led to a bewildering number of theories since cave art was discovered in the 19th century. Drawing on insights from visual science, evolution, and art theory, the book takes the reader on a unique and intriguing journey showing how the development of visual imagery in the human brain throughout evolution eventually led to the first figurative depictions of animals 37,000 years ago.


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
Total Pages: 292
Release: 2016-06-08
Genre: Neurosciences. Biological psychiatry. Neuropsychiatry
ISBN: 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.


Representation and Recognition in Vision

Representation and Recognition in Vision
Author: Shimon Edelman
Publisher:
Total Pages: 362
Release: 2016
Genre:
ISBN: 9780262293310

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Researchers have long sought to understand what the brain does when we see an object, what two people have in common when they see the same object, and what a ""seeing"" machine would need to have in common with a human visual system. Recent neurobiological and computational advances in the study of vision have now brought us close to answering these and other questions about representation. In Representation and Recognition in Vision, Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in ob.


Pioneer Visual Neuroscience

Pioneer Visual Neuroscience
Author: James M. Brown
Publisher: Routledge
Total Pages: 182
Release: 2018-09-21
Genre: Psychology
ISBN: 1351691155

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This book honors Naomi Weisstein’s foreshortened span of work published from 1964 to 1992. Naomi Weisstein was a pioneer in the areas we now call visual neuroscience, visual cognition, and cognitive neuroscience. Her enthusiastic pursuit of the mind was infectious, inspiring many others to take up the challenge. Despite her time as an active researcher being cut short, Weisstein’s impact was far reaching and long lasting, and many of her ideas and insights foreshadowed today’s active areas of inquiry into the inner workings of the mind. Comprising contributions from leading scholars in the field, Pioneer Visual Neuroscience outlines Weisstein’s many contributions to the study of visual perception and processing and their effects on the field today. This volume will be of interest to anyone interested in visual perception, visual cognition, and cognitive neuroscience.


Frontiers in Cognitive Neuroscience

Frontiers in Cognitive Neuroscience
Author: Stephen Michael Kosslyn
Publisher: MIT Press
Total Pages: 744
Release: 1995
Genre: Cognitive Neuroscience
ISBN: 9780262611107

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This text provides students and researchers with a foundation for examining how brain function gives rise to mental activities such as perception, memory and language. It is grouped into sections that cover attention, vision, auditory and somatosensory systems, memory and higher cortical.


Decision Making, Affect, and Learning

Decision Making, Affect, and Learning
Author: Mauricio R. Delgado
Publisher: Attention and Performance
Total Pages: 576
Release: 2011-03-24
Genre: Business & Economics
ISBN: 0199600430

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Focuses on decision making and emotional processing, investigating the psychological and neural systems underlying decision making, and the relationship with reward, affect, and learning. Considers neurodevelopmental and clinical aspects and looks at the applied aspects for other disciplines, including neuroeconomics.


Vision

Vision
Author: David Marr
Publisher: MIT Press
Total Pages: 429
Release: 2010-07-09
Genre: Psychology
ISBN: 0262514621

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Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.


Dialogues in Music Therapy and Music Neuroscience: Collaborative Understanding Driving Clinical Advances

Dialogues in Music Therapy and Music Neuroscience: Collaborative Understanding Driving Clinical Advances
Author: Julian O'Kelly
Publisher: Frontiers Media SA
Total Pages: 181
Release: 2017-06-30
Genre: Music
ISBN: 2889451372

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Music is a complex, dynamic stimulus with an un-paralleled ability to stimulate a global network of neural activity involved in attention, emotion, memory, communication, motor co-ordination and cognition. As such, it provides neuroscience with a highly effective tool to develop our understanding of brain function, connectivity and plasticity. Increasingly sophisticated neuroimaging technologies have enabled the expanding field of music neuroscience to reveal how musical experience, perception and cognition may support neuroplasticity, with important implications for the rehabilitation and assessment of those with acquired brain injuries and neurodegenerative conditions. Other studies have indicated the potential for music to support arousal, attention and emotional regulation, suggesting therapeutic applications for conditions including ADHD, PTSD, autism, learning disorders and mood disorders. In common with neuroscience, the music therapy profession has advanced significantly in the past 20 years. Various interventions designed to address functional deficits and health care needs have been developed, alongside standardised behavioural assessments. Historically, music therapy has drawn its evidence base from a number of contrasting theoretical frameworks. Clinicians are now turning to neuroscience, which offers a unifying knowledge base and frame of reference to understand and measure therapeutic interventions from a biomedical perspective. Conversely, neuroscience is becoming more enriched by learning about the neural effects of ‘real world’ clinical applications in music therapy. While neuroscientific imaging methods may provide biomarking evidence for the efficacy of music therapy interventions it also offers important tools to describe time-locked interactive therapy processes and feeds into the emerging field of social neuroscience. Music therapy is bound to the process of creating and experiencing music together in improvisation, listening and reflection. Thus the situated cognition and experience of music developing over time and in differing contexts is of interest in time series data. We encouraged researchers to submit papers illustrating the mutual benefits of dialogue between music therapy and other disciplines important to this field, particularly neuroscience, neurophysiology, and neuropsychology. The current eBook consists of the peer reviewed responses to our call for papers.