CS 6710 : Advances in Visual Perception

Jan - May, 2016

Course Contents


  • Introduction
    • The neurophysiological approach to visual perception; Gestalt's theory, Marr's theory of visual perception, Hypotheses and work of Gregory and Gibson.

  • Vision
    • Functional organization of visual system, Model and functions of the Retina, Primary visual cortex (LGN, V1), Extrastriate visual areas (V2-V5), Parietal cortex (LIP, VIP, MT, MST, PP) and inferior temporal cortical visual areas (TE, LOC, FFA, PPA), temporal aspects of vision, Motion and depth perception. Visual awareness.

  • Neural Network models
    • Pattern association and auto-association memory, competitive networks, continuous attractor networks, network dynamics, interacting attractor networks, Network dynamics: the integrate and fire approach, Mean field based neuro-dynamics.

  • Visual attentional mechanism and search
    • Introduction, classical model, biased competition – single cell and fMRI studies; the computational role of top down feedback connection; What and Where channels.

  • Neurodynamics of visual attention
    • Architecture of the model, Simulation of basic experimental findings, Object recognition and spatial search, simple visual search, visual search of hierarchical patterns; the neglect syndrome, neuropsychology of hierarchical patterns, conjunction search and feature binding.

  • Learning and memory
    • Functional overview, varieties of memory modules - working, short-term and long-term, episodic and semantic; MTL (Medial Temporal Lobe) in explicit learning and memory; Prefrontal cortex - consciousness and working memory; retrieval and metacognition, reward, motivation and recognition memory.

  • Models of invariant object recognition
    • Introduction, approaches to invariant object recognition, hypotheses about object recognition, and computational issues in feature hierarchies, face identity processing, eye and gaze detection, face perception.

  • Outputs of visual processing
    • Visual outputs to short term memory system, visual outputs to long term memory systems, visual stimulus, output to object selection and action systems, visual search.

  • Future Directions
    • Integrated approach to understanding vision; conscious visual perception; emotion; mind and brain.


"Computational Neuroscience of Vision"; by Edmund Rolls, Gustavo Deco; Oxford University Press, 1st edition, 2002.
"Cognition, Brain, and Consciousness; Introduction to Cognitive Neuroscience", Bernard J. Baars and Nicole M. Gage, Academic Press, 2010.

Theories of Visual Perception; by Ian E. Gordon; Psychology Press (Taylor and Francis Group), 2004.
ACM Transactions on Applied Perception.
Vision Research (Elsevier).


Tentative Schedule

Announcements to be done in class and via e-mail

Midsem 05/03/2016
TPA Final Evaluation 30/04/2016
Endsem 07/05/2016

Marking Scheme
Exam Marks
MidSem 20
Seminars 20
TPA 20
EndSem 40