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Intro to Perception, part II Jonathan Pillow Sensation & - PowerPoint PPT Presentation

Intro to Perception, part II Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Spring 2015, Princeton University 1 summary of last time Epistemology - theory of knowledge - (psychological) nativism - empiricism


  1. Intro to Perception, part II Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Spring 2015, Princeton University 1

  2. summary of last time • Epistemology - theory of knowledge - (psychological) nativism - empiricism • Metaphysics - theory of reality - monism ( idealism , materialism ) - dualism • Philosophies of Perception - naive realism - representative realism 2

  3. Representative Realism • We perceive the external world indirectly & imperfectly, via intermediary “sense data” representation of reality external reality sense data processing 3

  4. Descartes : “Dualism” - two kinds of stuff: - mental stuff (non-spatial, non-physical) - physical stuff (no mental properties) Problem : how can the physical and mental stuff interact? 4

  5. Modern versions of dualism “ homunculus ” - little man - the person who sits inside our head and is responsible for “perceiving” what we see. Prevalent conception, even in neuroscience today. 5

  6. “Monism” - alternative view (only one kind of stuff) Specifically: “ Materialism ” - physical matter and energy is all that exists - challenge is to come up with a story that explains how physical stuff can have “mental” properties (consciousness, awareness, etc) 6

  7. Philosophical position of this course: • Empiricism - knowledge from senses (obviously!) • Representative Realism - indirect knowledge of world, via the senses • Materialism - only one kind of stuff (matter/ energy) • Functionalism - understanding the “function” of the sensory systems is all that we need to know to “understand” them. 7

  8. In this course, “understanding” perception means: 1. We can write down an algorithm for how a perceptual task is performed (i.e., we could use it to design a robot to perform the same task) 2. Knowing where and how the algorithm is implemented in the nervous system. 8

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