Perception & Attention. Perception is the best understood cognitive function, esp in terms of underlying biological substrates.
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1 Perception & Attention Perception is the best understood cognitive function, esp in terms of underlying biological substrates.
2 Perception & Attention Perception is the best understood cognitive function, esp in terms of underlying biological substrates. Some motivating questions: 1. Why does primary visual cortex encode oriented bars of light?
3 Perception & Attention Perception is the best understood cognitive function, esp in terms of underlying biological substrates. Some motivating questions: 1. Why does primary visual cortex encode oriented bars of light? 2. Why is visual system split into what/where pathways?
4 Perception & Attention Perception is the best understood cognitive function, esp in terms of underlying biological substrates. Some motivating questions: 1. Why does primary visual cortex encode oriented bars of light? 2. Why is visual system split into what/where pathways? 3. Why does parietal damage cause attention problems (neglect)?
5 Perception & Attention Perception is the best understood cognitive function, esp in terms of underlying biological substrates. Some motivating questions: 1. Why does primary visual cortex encode oriented bars of light? 2. Why is visual system split into what/where pathways? 3. Why does parietal damage cause attention problems (neglect)? 4. How do we recognize objects (across locations, sizes, rotations with wildly different retinal images)?
6 Overview of the Visual System Hierarchies of specialized visual pathways, starting in retina, to LGN (thalamus), to V1 & up: right field temporal optic chiasm V2,V4... nasal V1 left field temporal LGN V2,V4...
7 Two Streams: Ventral what, Dorsal where PO m m VIP PG V3A MST p MT FST PG V1 V2 d V3 V4 V1 TEO TE TF TE
8 The Retina Retina is not a passive camera Key principle: contrast enhancement that emphasizes changes over space & time. a) Oncenter b) Offcenter
9 LGN of the Thalamus A relay station, but so much more! Organizes different types of information into different layers. Performs dynamic processing: magnocellular motion processing cells, attentional processing.
10 Primary Visual Cortex (V1): Edge Detectors V1 combines LGN inputs into oriented edge detectors: a) Oncenter b) Offcenter
11 Primary Visual Cortex (V1): Topography hypercolumns blobs L R L R orientations occularity Pinwheel
12 A Question What makes visual cortex visual cortex? Why does it represent what it does?
13 Primary Visual Representations Key idea: Oriented edge detectors can develop from Hebbian correlational learning based on natural visual scenes.
14 The Model Hidden Input_pos Input_neg
15 The Receptive Fields
16 Perception and Attention Familiar (boring?) but...: 1. Why does primary visual cortex encode oriented bars of light? Correlational learning based on natural visual scenes. 2. How do we recognize objects (across locations, sizes, rotations with wildly different retinal images)? 3. Why is visual system split into what/where pathways? 4. Why does parietal damage cause attention problems (neglect)?
17 Diff The Object Recognition Problem Problem: Recognize object regardless of: location, size, rotation. Same This is hard because different patterns in same location can overlap a lot, while the same patterns in different locations/sizes/rotations can not overlap at all!
18 Possible Solutions Solution: Canonicalize to 3-D model (Marr, Hinton): Human Arm Forearm Hand
19 Possible Solutions Solution: Canonicalize to 3-D model (Marr, Hinton): Human Arm Forearm Hand Flaw: Underconstrained! Many 2-D projections map onto many 3-D structures, and search space is huge!
20 Gradual Invariance Transformations Each layer produces incremental increase in invariance and featural complexity.
21 The Model V4/IT Output V2 V1 LGN_On LGN_Off
22 The Objects
23 Probing Probe RF Probe Stims LGN
24 Perception and Attention Familiar (boring?) but...: 1. Why does primary visual cortex encode oriented bars of light? Correlational learning based on natural visual scenes. 2. How do we recognize objects (across locations, sizes, rotations with wildly different retinal images)? Transformations: increasingly complex featural encodings, increasing levels of spatial invariance; Distributed representations. 3. Why is visual system split into what/where pathways? 4. Why does parietal damage cause attention problems (neglect)?
25 Spatial Attention: Unilateral Neglect attended location (70-90 ms after target onset). Self portrait, copying, line bisection tasks: In all cases, patients with parietal/temporal lesions seem to forget about 1/2 of space! but they still see it!
26 Posner Spatial Cuing Task Valid Trial Invalid Trial Cue Target * * Lesioned Intact Neutral Valid Invalid
27 Possible Models Alert Interrupt Localize Spatial Object Disengage Move Engage V1 (features x location) Inhibit Attention emerges from bidirectional constraint satisfaction & inhibitory competition.
28 Simple Model targ Spat2 cue Output Obj2 Spat1 Obj1 V1 Input Object 2 (Target) Object 1 (Cue)
29 Posner Task Data Valid Invalid Diff Adult Normal Elderly Normal Patients Elderly normalized (*.65) Patients normalized (*.55)
30 Complex Model Spat2 Output Target Spat1 V4/IT V2 V1 LGN_On LGN_Off
31 Perception and Attention 1. Why does primary visual cortex encode oriented bars of light? Correlational learning based on natural visual scenes. 2. How do we recognize objects (across locations, sizes, rotations with wildly different retinal images)? Transformations: increasingly complex featural encodings, increasing levels of spatial invariance; Distributed representations. 3. Why is visual system split into what/where pathways? Transformations: emphasizing and collapsing across different distinctions 4. Why does parietal damage cause attention problems (neglect)? Attention as an emergent property of competition
32 General Issues in Attention Attention: Prioritizes processing. Coordinates processing across different areas. Solves binding problems via coordination.
Spatial Attention: Unilateral Neglect
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