Perception I
Perception I: Cognitive Psychology PS21820
Lecture Information
Date: 31st October 2025
Instructor: Dr. Ioana Mihai
Contact Information: iom7@aber.ac.uk
Office Location: Room 1.29, P5
Today's Lecture Topics
Perception as a Process
Visual Perception: Visual Systems
The Visual Brain
Disorders: Blindsight
Object Recognition: Cognitive Theories and Processes
Definition of Perception
Perception: A complex series of processes through which we acquire and interpret sensory information.
Distinction: Perception ≠ Sensation
Types of Perception
What is Perception?
Light → Object → Eye
Eye → Brain → Neural Signal Interpreted by the Brain
Summary of the process of perception and processing within the brain.
Visual Perception - Overview
Light Energy: Hits objects and reflects from the surrounding environment.
Role of Eyes: Capture reflected light.
Components involved:
Cornea
Pupil
Lens
Focusing of light on the retina
Visual Perception - The Visual System
Accommodation: The eye's ability to focus light.
Retina: Thin layer of neurons located at the back of the eye, receives light.
Visual Perception - From Light to Eye
Transduction: The transformation of light information into neurochemical signals sent to the cortex.
Light exposure creates changes in electricity in the cell membrane of both cones and rods, resulting in the release of neurotransmitters.
Visual Perception - From Eye to Brain
Cells in Retina:
Cones: Responsible for color vision and sharpness of vision.
Found primarily in fovea; fewer in the periphery.
Rods: Responsible for vision in dim light and night vision; no color perception.
More numerous than cones; predominant in the periphery.
Function of rods and cones: Absorb photons, change shape, trigger neurotransmitters leading to electric signals (transduction).
Visual Perception - From Eye to Brain
Neurotransmitter Functions: Activates neighboring cells.
Light energy reaches the back of the retina first and is processed in the following order:
Rods & Cones → Horizontal & Bipolar Cells → Amacrine Cells → Ganglion Cells
Blind Spot and Visual Pathways
Blind Spot: An area with no photoreceptors, where the axons of ganglion cells collect.
Optic Nerve: Composed of ganglion cell fibers.
Optic Chiasm and Tracts: Pathway for visual information to the brain.
Lateral Geniculate Nucleus (LGN): Relay center where visual information is processed.
Subcortical Pathways for Visual Processing
Superior Colliculus: Responsible for eye movements and orientation reflexes.
Retina-Geniculate-Striate System: Pathway from retina to visual areas via the LGN.
Types of Pathways:
Parvocellular (P) Pathways: Relate to color and details, connected to cones.
Magnocellular (M) Pathways: Relate to movement, connected to rods.
Koniocellular Pathways: Less understood.
Retinotopic mapping: Represents how neighboring points on the retina also correlate to neighboring points in the LGN and visual cortex.
Visual Processing in the Brain
Distinct Brain Areas: Approximately 30 distinct areas are involved in visual perception.
Early Visual Processing: Involves areas V1 and V2, characterized by distinctive cell architecture and response to specific areas of retina stimulation. Provides complex topographical maps of vision.
Two Main Pathways from V1 and V2:
P Pathway: V1 & V2 → Ventral Stream → Inferotemporal Cortex: Involved in recognizing “what.”
M Pathway: V1 & V2 → Dorsal Stream → Parietal Cortex: Involved in understanding “how” or “where.”
Social Perception Pathway
Investigated potential Third Pathway for social perception as suggested by Pitcher & Ungerleider (2021).
Focus on processing dynamic social cues, central role of the Superior Temporal Sulcus (STS), common in humans and macaques.
Functional Organization of Visual Processing
Hierarchical View: Simplistic understanding of functional organization; includes parallel and overlapping processing dynamics.
Information Processing: Features feedforwarding of visual inputs, recurrent top-down processes.
Binding Problem: Issues with how visual features are integrated into a cohesive perception.
Treisman’s Feature Integration Theory
Proposes how distinct features combine into coherent objects, also termed binding.
Search Stages:
Pre-attentive Stage: Processes features in parallel, rapidly.
Focused Stage: Involves serial processing, slower; focuses on binding features together.
Additional Factors in Visual Processing
The role of expectations and knowledge, and how eye movements impact perception.
Ongoing research on binding and feature integration in visual perception.
Blindsight Condition
A phenomenon where individuals have intact eyes but damage to the visual cortex (V1) shows performance above chance levels in visual stimuli discrimination tests without conscious awareness of perception.
Relevant studies: Overgaard et al. (2008), Stoerig & Cowey (2007), Ajina & Bridge (2016).
Some motion perception may remain intact although there is no conscious viewing ability, affected areas include prefrontal regions.
There's intact connectivity between the LGN and area MT/V5.
Complexity of Making Sense of the World
Visual perception is a seemingly effortless but highly complex process that encompasses:
Pattern Recognition: Detecting 2D visual elements; involves basic features and attributes.
Study reference: Navon (1977): Emphasizes global over local processing.
Feature Detectors: Hubel and Wiesel (1979) identified two types of neurons in V1 that are key in this process.
Challenges include interpreting ambiguous information and reliance on top-down processes.
Gestalt Principles in Perceptual Organization
Presentation of environment as complex necessitates laws governing perceptual organization.
Law of Prägnanz and specific laws for perceptual organization: proximity, similarity, continuation, and closure.
Figure-ground Segmentation: Distinction of a subject from its background; intrinsic to perception.
Learning and Memory's Role
Examination of brain-damaged patients reveals the impact of learning and memory.
Addressing perceptual challenges in 2D drawings compared to reality showcases complexity in dimensional perception.
Additional principles include connectedness, accentuation, and common fate; however, these principles may lead to inflexible recognition processes.
Perception-Action Model in Object Recognition
Ventral Stream: Central in recognizing objects.
Emphasizes hierarchical organization and the interplay between the ventral and dorsal streams in object recognition tasks.
Spatial Frequency in Object Recognition
Spatial Frequency: Level of detail in visual information categorized as coarse-to-fine.
Neuronal differences are observed in response to frequency.
High frequency travels via the slower parvocellular pathway for fine processing.
Low frequency utilizes the faster magnocellular pathway for coarse processing.
Task demands demonstrate flexibility in processing central vs peripheral vision.
Computational Approach to Object Recognition
Marr's model introduces the complexity of visual processing across 3 stages:
Primal Sketch: A 2D description dependent on viewpoint.
2½-D Sketch: Incorporates depth and orientation; also viewpoint dependent.
3D Model: Represents shape and relative position, remaining independent from viewpoint.
Challenges in the computational approach arise from the inherent complexity of visual information.
Recognition By Components (RBC) Theory
Introduced by Biederman (1987), emphasizes basic components termed “geons” that combine in numerous configurations.
The process includes analysis of non-accidental properties and is generally viewpoint independent.
The importance of top-down processing and prior expectations are considered.
Gibson’s Affordances in Object Recognition
Explored the significance of action in visual perception beyond mere recognition.
Ecological approaches affirm that individuals perceive potential uses of objects directly and automatically.
Supported by fMRI evidence yet poses challenges in reasoning processes and incorporates object knowledge in perception.
Top-Down Processes in Object Recognition
Argues that the hierarchical view of visual processing may be overly simplified.
Highlights the influence of both backward (top-down) and forward (bottom-up) projecting neurons to V1.
Knowledge's role in enhancing attention and interpretation, especially in ambiguous settings, underscores the complexity of visual processing.
Interactive-Iterative Framework
Elaborates on the interplay of hypotheses and expectations predicated on goals before actually viewing an object.
Attention directed towards visual information significantly shaped by these expectations, which further impacts bottom-up processing.
Validated through fMRI (Dolan et al., 1997) and eye-tracking studies.
Conclusions on Visual Perception
Visual perception is a multifaceted process distinct from mere sensory stimulation.
Involves cascade processes throughout the visual system, highlighting complexities of hierarchical processing and dynamic interactions within the brain.
The majority of cognitive theories focus on bottom-up grouping of visual information but acknowledge that knowledge, action, goals, and attention modulate perception significantly.