Neuroscience
Understanding the role of experience in
shaping the development of visual
circuits.
Areas of interest:
Development
Plasticity
Visually-Guided Behavior
Cognitive and Linguistic Sciences
To develop preliminary hardware
designs, programming techniques, and
software applications for a brain-like
computing system.
Areas of interest:
Brain-like computation: hardware and
software.
Cognitive modeling using neural
networks.
Neuroscience
Characterizing the physiology and
anatomy of retinal output channels
Areas of interest:
Retinal structure and function
Subcortical visual centers
Circadian rhythms
Neuroscience/Applied Math
The nature of the code(s) that our
brains use to create, store, retrieve,
matchand compose---and more
generally compute with---neural
representations ofexternal events,
stimuli, sensations or actions still
largely eludes us.
Computer Science
Mathematical and computational models
of image motion with an emphasis on
human movement and discontinuous
optical flow.
Area of interest:
Computer vision
Human pose, shape and motion
Probabilistic models
Philosophy
History of the theory of Perception from
the Ancient Greeks to the present day
Areas of interest:
Colour Vision
Colour Blindness
CLPS
The neural basis of attention and
memory
Areas of interest:
visuospatial attention, memory,
parahippocampal function
Cellular Dynamics (MBL)
Understanding the role of zinc in
vision and disease.
Areas of interest:
Neural interactions of the retina
Retinal neuropharmacology
Zinc as a retinal neuromodulator
Engineering
Development and application of new
geometric, algebraic, and probabilistic
approaches, models, and algorithms for
recognizing and estimating 2D and 3D
geometric information from images,
video, and range data.
Areas of interest:
Pattern recognition
Applied stochastic processes
Computer vision
Physics
Neural networks, including architecture,
learning rules, and real world
applications; the biological basis of
memory and learning.
Areas of interest:
Neural Networks
Learning and Memory Storage
Hippocampus
Cognitive and Linguistic Sciences
Areas of interest:
3D Shape Perception
Psychophysics
Computational Modeling
Philosophy
Early modern treatments of
mathematics and science, with special
reference to theories of perception.
Areas of interest:
Spatial representation
Epistemology of perception
Engineering and Computer Science
Research description:
Models and algorithms for perception,
inference and learning.
Areas of interest:
Computer Vision, Artificial Intelligence,
Machine Learning, Discrete Algorithms
Applied Math
Physiological and anatomical
foundations of mental representation
Areas of interest:
Hierarchy in computer and biological
vision.
The role of fine-temporal structure in
neural representation.
Physiological and anatomical
foundations of mental representation.
Applied Math
Tracking and Recognizing Moving
Objects in Cluttered Environments
Areas of interest:
Computational Molecular Biology
Tracking Moving Objects
Speech Recognition
Applied Math (Emeritus)
Modeling the human mind
Areas of interest:
Pattern theory
Computational cognition
Applied Math
Statistical principles for unsupervised
learning of visual hierarchies.
Areas of interest:
Statistical methods in neuroscience
Pattern theory
Information theory
Perceptual organization
Computer Science
Scene understanding and image
manipulation driven by "Internet-scale"
data.
Computer Vision
Scene Understanding
Computational Photography
Philosophy
My current project is a book on
consciousness.
Areas of interest:
Consciousness
Metaphysics & Epistemology of
Perception
Truth-conditional semantics (truth,
reference, semantic correspondence
and related topics)
Computer Science
Computational perception for human-
robot teams and robot learning
Areas of interest:
Robot Vision and Perception
Markerless Motion Capture
Action and Activity Recognition
Engineering
My interest is shape-based object
recognition, localization, and
categorization, as guided by
computational constrainsts as well as
the human visual system.
Areas of interest:
Object Recognition
Categorization
Perceptual Grouping
Computer Science
Building, testing, and understanding
computational and visualization tools for
application in scientific analysis.
Areas of interest:
Scientific visualization
Applied perception and cognition
Neuroscience (Emeritus)
Understanding spatial transformations
in the visual system
Areas of interest:
Oculomotor control
Distributed spatial coding
Sensory-motor transformations
Superior colliculus and its functions
Ophthalmology
Ophthalmologist in Chief
Rhode Island Hospital Division of
Ophthalmology, the primary teaching
facility for the Ophthalmology
Residency of the Warren Alpert Medical
School at Brown University.
Applied Math (Emeritus)
What are the right mathematical models
for vision?
Areas of interest:
Theory of shape
Statistics of natural images
Engineering
Joseph Mundy is developing a
Computer tomography (CT) analysis
system for characterizing microscopic
blood vessel structure in living tissue
that will be applied to the rapid drug
development of cancer blocking
medicines.
Physics (Research)
Biologically-inspired computer vision,
statistical pattern recognition, and
machine learning.
Areas of interest:
Pattern Recognition
Computer Vision
Machine Learning
Neuroscience
The neural basis of visual perception.
Areas of interest:
Visual dynamics
Natural vision
Temporal coding
To understand the brain mechanisms
underlying the recognition of
objects and complex visual scenes
using a combination of behavioral,
imaging and physiological techniques,
which are supported by rigorous
computational models.
Areas of interest:
Biological and machine vision
Computational neuroscience
Neuroscience
Investigating mechanisms of visual-
motor coordination and learning using
neuroimaging and psychophysics.
Areas of interest:
Visual-motor coordination
Visual-motor learning
Neuroimaging
Neuroscience
How the brain sees a complex world.
Areas of interest:
Object perception
Visual recognition
Behavioral neurophysiology
CLiPS
Investigating underlying mechanisms
involved in integrating higher-order
cognitive processes and visually-
guided actions
Areas of interests:
Target selection
Decision-making
Attention
Visually-guided actions
Computer Science
Statistical approaches to visual
tracking, recognition, and scene
understanding, including probabilistic
graphical models and Bayesian
nonparametrics.
Areas of Interest:
Computer Vision
Machine Learning
Statistics of Natural Scenes
Engineering
Development of efficient, simple, and
mathematically sound algorithms to
operate on 3D objects represented as
polygonal meshes, with an emphasis on
technologies to enable the use of 3D
models for Web-based applications.
Ophthalmology
Appointment at Brown Medical School:
Clinical Professor of Surgery
(Ophthalmology).
Research focuses on the visual control
of locomotion and navigation, combining
experiments in a large-scale virtual
environment (the VENLab) with
dynamic systems modeling.
Areas of interest:
Locomotor behaviors
Psychology
Understanding low- to mid-level feature
representation.
Areas of interest:
Visual psychophysics
Motion perception
Perceptual learning
Psychology
My research is concerned with several
aspects of vision and visual perception.
Areas of interest:
Physiological Optics
Achromatic Perception
Color Vision
MPPB
Understanding the function and
regulation of ion channels in visual
transduction and retinal disease.
Areas of interest:
Visual transduction
Retinal diseases
Ion channels
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