Research
I
investigate human and mammal brains from a variety of perspectives. I use
computational, behavioral, and theoretical approaches and focus especially on
vision coding.
One
ongoing strand of work focuses on natural, aesthetic, and artistic stimuli and
their processing and creation.
In
tandem, I collaborate with Yan
Hao (Math & CS) to investigate the
fundamental principles of communication among neurons in mammal brains. In
particular, my multiple strands of research focus on:
(1) network dynamics in cortex and at the whole-brain
level
(2) principles of efficient visual system processing
of natural scenes, artwork, and faces in the visual stream
(3) models and mechanisms in neuroaesthetics
Tying
all of these strands together is the notion of efficiency: neural systems are
shaped by evolutionary adaptation, which tends to produce solutions that are
well matched to environmental demands. However, efficiency is not simply about
using the smallest amount of resources; it also depends on handling and
representing information in a way that is useful to the organism. Drawing on
notions from information theory in physics, the encoding of environmental
stimuli can be rigorously defined and implemented in physiological simulations
and computer vision approaches.