Book contents
- Biological and Computer Vision
- Biological and Computer Vision
- Copyright page
- Dedication
- Contents
- Figures
- Preface
- Acknowledgments
- Abbreviations
- 1 Introduction to the World of Vision
- 2 The Travels of a Photon
- 3 The Phenomenology of Seeing
- 4 Creating and Altering Visual Percepts through Lesions and Electrical Stimulation
- 5 Adventures into Terra Incognita
- 6 From the Highest Echelons of Visual Processing to Cognition
- 7 Neurobiologically Plausible Computational Models
- 8 Teaching Computers How to See
- 9 Toward a World with Intelligent Machines That Can Interpret the Visual World
- 10 Visual Consciousness
- Index
- References
4 - Creating and Altering Visual Percepts through Lesions and Electrical Stimulation
Published online by Cambridge University Press: 05 February 2021
- Biological and Computer Vision
- Biological and Computer Vision
- Copyright page
- Dedication
- Contents
- Figures
- Preface
- Acknowledgments
- Abbreviations
- 1 Introduction to the World of Vision
- 2 The Travels of a Photon
- 3 The Phenomenology of Seeing
- 4 Creating and Altering Visual Percepts through Lesions and Electrical Stimulation
- 5 Adventures into Terra Incognita
- 6 From the Highest Echelons of Visual Processing to Cognition
- 7 Neurobiologically Plausible Computational Models
- 8 Teaching Computers How to See
- 9 Toward a World with Intelligent Machines That Can Interpret the Visual World
- 10 Visual Consciousness
- Index
- References
Summary
We want to understand how neuronal circuits give rise to vision. We can use microelectrodes and the type of neurophysiological recordings introduced in Section 2.7. In the case of the retina, it is evident where to place the microelectrodes to examine function. However, there are about 1011 neurons in the human brain, and we do not have any tools that enable us to record from all of them. How do we figure out what parts of the brain are relevant for vision so we can study them at the neurophysiological level?
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- Information
- Biological and Computer Vision , pp. 62 - 86Publisher: Cambridge University PressPrint publication year: 2021