Computational Neuroscience Laboratory



The primary objective of the Computational Neuroscience Laboratory in the Center for Complex Systems and Brain Sciences at Florida Atlantic University is to uncover the fundamental principles of how the nervous system codes and uses sensory information. The lab is located at 3848 FAU Boulevard, the Innovation Center 2, in rooms 148 and 126. For more information, see the campus map.
Professor Dawei W. Dong
Center for Complex Systems and Brain Sciences
Florida Atlantic University
777 Glades Road, Boca Raton, FL 33431

Phone: (561) 297-2326
Fax: (561) 297-3634
E-Mail: dawei@ccs.fau.edu
WWW: http://www.ccs.fau.edu/~dawei


Theoretical Research (CNS):

Our research emphasizes finding fundamental theories that explain how the nervous system codes and uses sensory information. The fundamental hypothesis is that under evolutionary pressure, the brain has adapted to the environment and is highly optimized to process the sensory inputs.

  1. Optimal Coding
  2. Learning Dynamics
  3. Biophysical Model
  4. Pattern Recognition


Experimental Research (Vision):

The visual sense provides unique opportunities for highly structured inputs, the statistical properties of which can be quantitatively measured, and the neural responses to which can be extensively studied. Particularly interesting are the early visual systems of humans which are believed to be highly optimized for information processing.

  1. Natural Scene
  2. Eye Tracking
  3. Functional MRI
  4. Parkinson's Disease


Related Posters:
  1. 5th Annual Meeting * Vision Sciences Society (Sarasota, FL, May 10, 2005):
    SENSORY-MOTOR INTEGRATION DURING FREE-VIEWING NATURAL TIME-VARYING IMAGES: A THEORY OF DYNAMIC PROCESSING IN VISUAL SYSTEMS
    .



Related Talks:
  1. 34th Annual Meeting * Society for Neuroscience (San Diego, CA, Oct 26, 2004):
    THE EFFICIENT CODING OF DYNAMIC SIGNALS: THE NONSTATIONARY TEMPORAL PROCESSING AND OCULOMOTOR INTEGRATION BY THE LATERAL GENICULATE NUCLEUS (LGN) DURING FREE-VIEWING NATURAL TIME-VARYING IMAGES
    .

  2. 34th Annual Meeting * Society for Neuroscience (San Diego, CA, Oct 25, 2004):
    THE DYNAMIC PROPERTIES OF DIRECTION SELECTIVE FILTERS OPTIMALLY CODING NATURAL TIME VARYING IMAGES
    .

  3. 2004 ARVO Annual Meeting (Fort Lauderdale, FL, April 27, 2004):
    THE ROLE OF THE BASAL GANGLIA DURING FREE-VIEWING NATURAL TIME-VARYING IMAGES
    .

  4. 3rd Annual Meeting * Vision Sciences Society (Sarasota, FL, May 10, 2003):
    NO SUPPRESSION, ONLY DYNAMIC DECORRELATION: SACCADIC EFFECTS ON THE VISUAL RESPONSES TO NATURAL TIME-VARYING IMAGES
    .

  5. 3rd Annual Meeting * Vision Sciences Society (Sarasota, FL, May 10, 2003):
    INDEPENDENT COMPONENT ANALYSIS OF NATURAL TIME-VARYING IMAGES UNDER THE CONSTRAINT OF THE MINIMUM TIME DELAY
    .

  6. 2002 ARVO Annual Meeting (Fort Lauderdale, FL, May 9, 2002):
    DYNAMIC TEMPORAL DECORRELATION: A THEORY OF SACCADIC EFFECTS ON THE LGN RESPONSES
    .

  7. 2nd Workshop on Natural Stimulus Statistics (Cold Spring Harbor, NY, Oct 23, 2000):
    EYE MOVEMENTS AND SPATIOTEMPORAL INPUT STATISTICS DURING FREE-VIEWING NATURAL TIME-VARYING IMAGES
    .

  8. 29th Annual Meeting * Society for Neuroscience (Miami Beach, FL, 1999):
    SPATIOTEMPORAL DECORRELATED ACTIVITY PATTERNS IN FUNCTIONAL MRI DATA DURING REAL AND IMAGERY MOTOR TASKS
    .

  9. 27th Annual Meeting * Society for Neuroscience (New Orleans, LA, Oct 27, 1997):
    TILT ILLUSIONS AND DYNAMIC DECORRELATION: A THEORY OF LATERAL INTERACTIONS OF THE ORIENTATION SELECTIVE CELLS IN STRIATE CORTEX (V1)
    .

  10. 24th Annual Meeting * Society for Neuroscience (Miami Beach, FL, Nov 14, 1994):
    TEMPORAL DECORRELATION: A THEORY OF LAGGED AND NONLAGGED RESPONSES IN THE LATERAL GENICULATE NUCLEUS (LGN)
    .



Selected Abstracts:
  1. Society for Neuroscience Abstract V27 N821.28, 2001
    The optimal visual coding related to eye movements
    .

  2. Society for Neuroscience Abstract V27 N821.27, 2001
    Visual input statistics during free-viewing of natural time-varying images: a comparison across viewers and scenes
    .

  3. INVEST OPHTH VIS SCI 42 (4): 3347 Suppl. S MAR 15 2001
    Effects of eye movements on information processing: Visual input statistics during free-viewing natural time-varying images
    .

  4. INVEST OPHTH VIS SCI 41 (4): 259B259 Suppl. S MAR 15 2000
    Dynamic temporal decorrelation: Information theoretic and biophysical model of the functional role of lateral geniculate nucleus (LGN)
    .

  5. INVEST OPHTH VIS SCI 41 (4): 4220B167 Suppl. S MAR 15 2000
    Optimal coding: The separability of visual sensitivity into spatial frequency and motion velocity based on properties of natural images
    .

  6. Society for Neuroscience Abstract V25 P786, 1999
    Spatiotemporal Decorrelated Activity Patterns in Functional MRI Data During Real and Imagery Motor Tasks
    .

  7. Society for Neuroscience Abstract V23 P569, 1997
    Tilt Illusions and Dynamic Decorrelation: A Theory of Lateral Interactions of the Orientation Selective Cells in Striate Cortex (V1)
    .

  8. Society for Neuroscience Abstract V20 P7, 1994
    Temporal Decorrelation: A Theory of Lagged and Nonlagged Responses in the Lateral Geniculate Nucleus (LGN)
    .



Publications:
  1. Spatio-temporal decorrelated activity patterns in functional MRI data during real and imagined motor tasks,
    by Dawei W. Dong, J. A. Scott Kelso, and Fred L. Steinberg:
    abstract , PDF (704K) , compressed postscript (747K, 14 pages).

  2. Dynamic temporal decorrelation: an information-theoretic and biophysical model of the functional role of lateral geniculate nucleus,
    by Wilson A. Truccolo and Dawei W. Dong:
    abstract , PDF (197K) , compressed postscript (151K, 10 pages).

  3. Spatiotemporal inseparability of natural images and visual sensitivities,
    by Dawei W. Dong:
    abstract , PDF (169K) , compressed postscript (103K, 10 pages).

  4. Spatiotemporal coupling and scaling of natural images and human visual sensitivities,
    by Dawei W. Dong:
    abstract , PDF (228K) , compressed postscript (176K, 7 pages).

  5. Neural Networks for Engine Fault Diagnostics,
    by Dawei W. Dong, John J. Hopfield, and K. P. Unnikrishnan:
    abstract , PDF (200K) , compressed postscript (240K, 10 pages).

  6. Temporal decorrelation: a theory of lagged and nonlagged responses in the lateral geniculate nucleus,
    by Dawei W. Dong and Joseph J. Atick:
    abstract , PDF (400K) , compressed postscript (279K, 26 pages).

  7. Statistics of natural time-varying images,
    by Dawei W. Dong and Joseph J. Atick:
    abstract , PDF (304K) , compressed postscript (207K, 18 pages).

  8. Associative decorrelation dynamics: a theory of self-organization and optimization in feedback networks,
    by Dawei W. Dong:
    abstract , PDF (274K) , compressed postscript (265K, 8 pages).
Index of Earlier Publications


dawei@ccs.fau.edu