Cells in the dorsal medial superior temporal cortex (MSTd) process optic fl
ow generated by self-motion during visually guided navigation. A neural mod
el shows how interactions between well-known neural mechanisms (log polar c
ortical magnification, Gaussian motion-sensitive receptive fields, spatial
pooling of motion-sensitive signals and subtractive extraretinal eye moveme
nt signals) lead to emergent properties that quantitatively simulate neurop
hysiological data about MSTd cell properties and psychophysical data about
human navigation. Model cells match MSTd neuron responses to optic flow sti
muli placed in different parts of the visual field, including position inva
riance, tuning curves, preferred spiral directions, direction reversals, av
erage response curves and preferred locations for stimulus motion centers.
The model shows how the preferred motion direction of the most active MSTd
cells can explain human judgments of self-motion direction (heading), witho
ut using complex heading templates. The model explains when extraretinal ey
e movement signals are needed for accurate heading perception, and when ret
inal input is sufficient, and how heading judgments depend on scene layouts
and rotation rates.