Motion aftereffect
After viewing continuous motion in the same direction for a long
time, if you look at a stationary object, it appears to move in the
direction opposite to the one you were viewing. This is sometimes
called the "waterfall illusion" - if you look at a waterfall for a
while, then look at a tree next to
it, the tree appears to
move upward. The demonstration above shows that this adaptation is
local in the retina (to the right of where you were looking, you were
adapting to rightward motion, to the left you adapted to leftward, and
so on). We take this as evidence for the existence of neurons that are
sensitive to motion and selective for the direction of motion, which
adapt to the stimulus (analogous to color adaptation after-effects).
Role of motion perception: Motion perception serves lots of helpful functions.
Optical Flow: Here is a representation of the actual physical motion in the image.
Optical Flow Fields
Each arrow represents the speed and direction of motion for each little patch of the visual field. Near points move fast (long arrows), far points move slowly (short arrows). In this example, the arrows point away from a single point called the focus of expansion that corresponds to where the observer is heading.
The first step in motion perception is for the visual system to estimate optical flow from the changing pattern of light in the retinal image. Then, the 3D motions of observer and objects can be inferred from the optical flow.
J. J. Gibson hypothesized that there's sufficient information in the
visual
stimulus to specify a unique, unambiguous interpretation of 3D motion
and
depth. Recently, mathematicians have proven that this hypothesis is
basically correct. There is a caveat, however: distance and speed are
ambiguous (i.e., they trade off). That is, a small, close
object when you are moving slowly creates the identical retinal images
over time as a large, distant object when you are
moving
quickly. That's why you need a speedometer in your car. You are lousy
at
making
absolute speed and distance judgements. But, you are very good at
relative
speed/direction
and relative distance.
Evidence for this includes a patient known as LM who, following a stroke, had great difficulty perceiving certain types of motion. Color vision and acuity remained normal, and there was no difficulty recognizing faces or objects, no difficulty with stereo. But LM cannot see coffee flowing into a cup: appears frozen like a glacier, does not perceive the fluid rising, and often lets the coffee spill or overflows. LM feels uncomfortable in a crowded room or on a street. "People were suddenly here or there, but I have not seen them moving... When I'm looking at the car first it seems far away, but then when I want to cross the road suddenly the car is very near". LM's lesion extends over a substantial region of visual cortex, so one can not localize sharply the regions relevant to LM's motion deficit. This makes it particularly surprising that loss of motion perception can be so cleanly dissociated from other visual abilities.
MT: Area MT is one of the most studied regions of the cortex of the brain, probably second only to V1. Current opinion is that the optical flow field is represented by neurons in area MT. MT neurons receive inputs from direction-selective neurons in V1. MT neurons are velocity selective, each responds best to a preferred velocity (speed and direction) within its receptive field, pretty much independent of stimulus pattern. By contrast, a direction-elective V1 neuron confounds motion with pattern. A typical V1 neuron responds to a particular orientation (edge or bar) moving in a particular direction. The response of the V1 neuron also increases with contrast. A typical MT neuron responds to almost any pattern with almost any contrast, as long as it moves with the right velocity.
Direction columns in MT
There also appears to be a columnar architecture in MT for stimulus motion; neurons with similar motion preferences lie nearby one another, with an orderly progression from one motion direction to the next as you move through MT, analogous to orientation columns in V1.
MT and motion perception: Bill Newsome (Stanford Neurobiologist) and colleagues trained monkeys to perform a difficult motion discrimination task.
Monkey chair
Newsome stimulus
Microstimulation data
The monkeys viewed moving dots and decided which way they went, e.g., either up or down. In the stimulus, only a subset of the dots moved in the indicated direction; the others moved randomly. The percentage of dots moving in the given direction was varied (in the graph, a negative percentage means the dots were moved in the opposite direction). The graph (open circles) shows the percentage of times the monkey indicated the dots were moving in the indicated direction as a function of the percentage of moving dots. The investigators then inserted microelectrodes into MT to electrically stimulate the monkeys' brains while they were performing the task. When the electrode was in a column selective for upward motion, stimulation biases the monkey to report "up" more often. This is a very cool result: stimulating MT neurons directly influences behavior, presumably because it influences the monkeys' conscious percepts.
<>Human MT: A homologous area has been localized in the human brain. A flickering checkerboard stimulus evokes brain activity in V1 at the back of head. A moving dot stimulus again evokes brain activity in V1, but also in a lateral region just behind your ears which is believed to be the human homologue of monkey area MT. >Human MT and the motion aftereffect: Tootell used fMRI to measure the neuronal correlates of the motion aftereffect.
fMRI motion aftereffect data
Subjects viewed two types of stimuli. (1) The stimulus moved constantly in one direction (light blue) for 40 seconds then was stationary (black) for the next 40 seconds. (2) The stimulus moved in and out alternating direction every other second (dark blue) for 40 seconds then was stationary (black) for the next 40 seconds. Observers experience the motion aftereffect for (1) but not for (2). They found elevated levels of MT activity for the motion aftereffect condition (compare the white shaded regions following the light blue and dark blue regions). This is another example linking motion perception with activity in area MT. This is particularly compelling because this is an illusion of motion for a physically stationary stimulus! This supports the functional specialization hypothesis, specifically that area MT is tightly coupled with the conscious perception of visual motion.
MST: Monkey area MST is right next to MT.
MST responses
Answer: visual images are combined with other information to inform you about the motion of your eyes, head, and body. The vestibular system provides information about the motion of your head and body. A copy of the eye movement command from the eye movement centers in the brain stem provides information about eye movements. Vision is combined with vestibular and eye movement signals in Area MST.
Corrolary discharge model
Push gently on the side of your eye and the world appears to jiggle around. Helmholtz did this experiment and came up with a theory of how eye movement information is combined with change in the retinal image to yield the motion percept. Generally speaking, the brain is divided into motor areas and sensory areas. The corrolary discharge is a copy of the motor signal that is transmitted to a comparator - a hypothetical structure that receives both the corrolary discharge and the sensory movement signal (maybe in MST). If the visual motion signal is the same as the eye movement command, then you don't "see" motion. If the visual motion signal is different from the eye movement command, then you do see motion.