Sensation, Perception, & Cognition Notes PDF

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AstoundedParable4814

Uploaded by AstoundedParable4814

CUNY John Jay College of Criminal Justice

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sensation perception psychology cognitive science

Summary

These notes describe concepts related to sensation and perception, including topics like sensory receptors, visual system, depth perception, and perceptual constancies. The notes cover topics from different perspectives, like Gestalt principles and psychophysics.

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Sensation vs. Perception ○ Sensation ➔ Detection of stimuli (light, sound, touch) ○ Perception ➔ Organization and interpretation of sensory information Example: Light on retina ➔ Brain interprets as image Sensory Receptors & Transduction...

Sensation vs. Perception ○ Sensation ➔ Detection of stimuli (light, sound, touch) ○ Perception ➔ Organization and interpretation of sensory information Example: Light on retina ➔ Brain interprets as image Sensory Receptors & Transduction ○ Sensory Receptors ➔ Specialized neurons for detecting stimuli ○ Sensory Transduction ➔ Conversion of stimuli into neural signals Example: Light waves ➔ Transduced into visual images The Visual System ○ Light ➔ Electromagnetic radiation (380 nm - 760 nm visible) Human Eye Cornea ➔ Transparent layer for light entry Iris ➔ Controls pupil size Lens ➔ Focuses light on retina Retina ➔ Contains photoreceptors (rods & cones) Optic Nerve ➔ Transmits signals to brain Photoreceptors Cones ➔ Detail, color vision, best in daylight Concentrated in fovea Rods ➔ Low-light vision, not color Primarily in peripheral retina Depth Perception ○ Binocular Depth Cues ➔ Retinal disparity, convergence ○ Monocular Depth Cues ➔ Relative size, linear perspective Example: Ponzo illusion (linear perspective trick) Gestalt Principles of Perception ○ Studies whole objects ➔ Not just parts ○ Key Principles: Closure ➔ Fill gaps for completeness Similarity ➔ Group similar objects Proximity ➔ Nearby objects perceived as related Good Continuation ➔ Smooth lines perceived over disjointed ones Perceptual Constancies ○ Size Constancy ➔ Same size perception despite distance ○ Shape Constancy ➔ Same shape perception from different angles ○ Color Constancy ➔ Maintain color despite lighting changes Light as a Stimulus ○ Part of electromagnetic spectrum (380-760 nm) ○ Wavelength determines color (short = blue/violet, long = red) The Auditory System ○ Sound Waves ➔ Created by vibrating objects ○ Frequency ➔ Determines pitch ○ Amplitude ➔ Determines loudness Structure of the Ear Outer Ear (Pinna) ➔ Collects sound Middle Ear ➔ Tympanic membrane & ossicles Inner Ear ➔ Cochlea transduces sound into neural signals Transduction of Sound ○ Sound vibrations ➔ Move basilar membrane ➔ Hair cells convert to neural signals Somatosensory System ○ Detects sensations: touch, pressure, vibration, pain, temperature Receptors ➔ Pressure-sensitive, thermoreceptors, nociceptors The Homunculus & Somatosensory Cortex ○ Sensory input mapped in brain ➔ Larger areas for more sensitive body parts (e.g., hands, lips) Perception & Psychophysics ○ Psychophysics ➔ Study of stimulus-perception relationship ○ Absolute Threshold ➔ Minimum detectable stimulus intensity ○ Subliminal Perception ➔ Processing stimuli below conscious detection The Gestalt School & Grouping Principles ○ Gestalt Psychology ➔ Whole object perception ○ Grouping Principles ➔ Similarity, proximity, continuity, closure Learning vs. Memory Learning → Lasting change in behavior from experience ↳ Involves behavioral change Memory → Process of encoding, storing, & retrieving information ↳ Retains & uses learned information Classical Conditioning (Ivan Pavlov) Definition: Neutral stimulus becomes associated with unconditioned stimulus ↳ Elicits conditioned response Key Terms: ○ Unconditioned Stimulus (UCS) → e.g., Food ○ Unconditioned Response (UCR) → e.g., Salivation ○ Conditioned Stimulus (CS) → e.g., Bell ○ Conditioned Response (CR) → e.g., Salivation at bell sound Example: Pavlov’s dogs learned salivation at bell sound Operant Conditioning (B.F. Skinner) Definition: Learning through rewards & punishments Reinforcement (Increases behavior): ○ Positive → Adding something pleasant (a treat) ○ Negative → Removing something unpleasant (ending a chore) Punishment (Decreases behavior): ○ Positive → Adding something unpleasant (scolding) ○ Negative → Removing something pleasant (taking away TV privileges) Reinforcement Schedules: ○ Continuous → Reinforced every time ○ Intermittent → Varies intervals/ratios Memory Types Explicit Memory: ○ Episodic → Personal experiences ○ Semantic → Facts & general knowledge Implicit Memory: ○ Procedural → Skills & tasks (e.g., riding a bike) ○ Associative → Classical conditioning responses Forgetting & Interference Forgetting Curve (Ebbinghaus) → Rapid forgetting, retains some over time Types of Interference: ○ Proactive → Old memories disrupt new learning ○ Retroactive → New memories disrupt retrieval of old memories Flashbulb Memories → Strong memories from intense emotional experiences, not always accurate Additional Notes Real-World Classical Conditioning → Explains preferences, aversions Extinction → Conditioned response fades when not paired with UCS Cognitive Learning (Edward Tolman) → Latent learning, cognitive maps Memory Processes: ○ Encoding → Converting input to memory ○ Storage → Retaining information ○ Retrieval → Accessing information Short-Term vs. Long-Term Memory: ○ Short-Term → Temporary, limited (7±2 items) ○ Long-Term → Stable, last years/lifetime The Case of H.M. Hippocampus crucial for explicit memories, not implicit Retains short-term memory, but can't form new episodic/semantic memories Eyewitness Memory Unreliable due to misinformation Elizabeth Loftus → Memory altered by misleading information Computational Theory of Mind → Brain as an information-processing device → Inputs → Processing → Outputs → Example: Seeing a red light → Brain processes → Output: Press brake Thinking and Mental Imagery → Mental representations → Mental imagery → Visual (picturing a face) → Auditory (hearing a song) → Activation: Same brain areas activated in imagination vs. real experience → Example: Imagining pizza → Same brain areas as eating pizza Schemas, Concepts, and Prototypes → Concepts: Mental categories (e.g., cars, trees) → Prototypes: Most typical examples (e.g., robin vs. ostrich) → Schemas: Networks of interconnected concepts → Example: Food schema → connects vegetables → connects broccoli → Importance: Reduce mental effort → Crucial for higher-level thinking Problem-Solving Methods 1. Heuristics → Mental shortcuts → Fast, not always accurate → Example: Guessing shortest line 2. Algorithms → Step-by-step procedures → Slow, but reliable → Example: Following a recipe 3. Insight → Sudden realizations → Example: “Ah-ha!” moment Dual Systems of Thinking (Kahneman) → System 1: Fast, automatic → Quick judgments → Example: Avoiding an oncoming car → System 2: Slow, deliberate → Requires focus → Example: Solving a difficult math problem Heuristics (Detail) → Availability Heuristic → Judging commonality based on memory → Example: Shark attack perceptions → Representativeness Heuristic → Categorizing based on prototypes → Example: Assuming a glasses-wearing book lover is a librarian Confirmation Bias → Focusing on information that confirms existing beliefs → Ignoring contradictory information Intelligence → General Intelligence (g) → Underlines all cognitive abilities → Proposed by Charles Spearman → IQ (Intelligence Quotient) → Measures mental age vs. chronological age → Binet’s and Stanford-Binet Tests Environmental Influence on IQ → Twin Studies → Identical twins: Similar IQ scores (genetics) → Non-twin siblings: Lower correlation (environment) Sternberg’s Triarchic Theory of Intelligence → Three Types of Intelligence: 1. Analytical Intelligence 2. Practical Intelligence 3. Creative Intelligence → Note: Traditional IQ tests mainly measure analytical intelligence Emotional Intelligence (EQ) → Components: 1. Recognizing own emotions 2. Empathizing with others → Importance: Predictive of relational success Grit → Definition: Perseverance and passion for long-term goals → Research: Grit leads to success, even with lower IQ → Critique: Can limit cognitive flexibility Animal Intelligence → Concept Formation: Animals can form concepts → Example: Counting by birds → Insight and Tool Use: Problem-solving abilities in animals → Example: Chimps using sticks for termites

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