Lecture 2 – Perception_2025_ForUpload
Lecture 2 - Perception
Overview
Sensation and Perception
Types of Processing: Bottom-up and Top-down Processing
Object and Face Perception
Sensation vs. Perception
Sensation: Detection of external stimuli; occurs at sensory organs.
Perception: Interpretation and organization of sensory input by the brain.
Sensory Modalities & Their Pathways
Vision: Light waves ➔ Eye (retina) ➔ Optic nerve
Hearing: Sound waves ➔ Ear (inner ear) ➔ Auditory nerve
Taste: Molecules ➔ Tongue ➔ Facial, glossopharyngeal & vagus nerves
Smell: Molecules ➔ Nose ➔ Olfactory nerve
Touch: Pressure ➔ Skin ➔ Cranial and spinal nerves
From Sensation to Perception
Stimulus: External stimulus detected.
Sensation: Sensory receptors detect stimulus.
Sensory Coding: Conversion of stimuli into neural signals.
Perception: Brain interprets signals as meaningful experiences.
Qualitative and Quantitative Information
Qualitative: Basic qualities of stimuli (different colors).
Quantitative: Degree or intensity of stimuli (brightness levels).
Bottom-Up Processing
Begins at sensory receptors; perception occurs simply and directly.
Direct perception theory (Gibson, 1966); relies on texture gradients for proximity and depth.
Template Theories: Compare stimuli to stored templates for recognition.
Feature-Matching Theories: Recognizes objects based on specific features.
Recognition-by-Components (RBC) Theory: Breaks objects into simple components (geons).
Top-Down Processing
Construct: Interface of perception starts from existing knowledge.
Leverages context and prior experience influences object recognition.
Palmer (1975): Context affects recognition accuracy.
Semantic Regularities: Predictable patterns in scenes influence expectations.
Theories of Object Perception
Gestalt Principles: Mind organizes visual information into wholes.
Principles include Figure-ground, Proximity, Similarity, Closure, and Continuity.
Theory of Unconscious Inference: Perceptions shaped by prior knowledge.
Pattern Recognition Systems
Configurational System: Recognizes whole configurations (faces).
Feature Analysis System: Breaks down objects into parts for recognition.
Fusiform Gyrus in Temporal Lobe: Critical for facial recognition and expertise in specific item recognition.