Dynamic spatial processing originates in early visual pathways.
A variety of studies in the visual system demonstrate that coarse spatial features are processed before those of fine detail. This aspect of visual processing is assumed to originate in striate cortex, where single cells exhibit a refinement of spatial frequency tuning over the duration of their response. However, in early visual pathways, well known temporal differences are present between center and surround components of receptive fields. Specifically, response latency of the receptive field center is relatively shorter than that of the surround. This spatiotemporal inseparability could provide the basis of coarse-to-fine dynamics in early and subsequent visual areas. We have investigated this possibility with three separate approaches. First, we predict spatial-frequency tuning dynamics from the spatiotemporal receptive fields of 118 cells in the lateral geniculate nucleus (LGN). Second, we compare these linear predictions to measurements of tuning dynamics obtained with a subspace reverse correlation technique. We find that tuning evolves dramatically in thalamic cells, and that tuning changes are generally consistent with the temporal differences between spatiotemporal receptive field components. Third, we use a model to examine how different sources of dynamic input from early visual pathways can affect tuning in cortical cells. We identify two mechanisms capable of producing substantial dynamics at the cortical level: (1) the center-surround delay in individual LGN neurons, and (2) convergent input from multiple cells with different receptive field sizes and response latencies. Overall, our simulations suggest that coarse-to-fine tuning in the visual cortex can be generated completely by a feedforward process.
Allen
Elena A
EA
Helen Wills Neuroscience Institute, Group in Vision Science, and School of Optometry, University of California, Berkeley, Berkeley, California 94720-2020, USA.
Freeman
Ralph D
RD
D000200:Action Potentials / Q000502:physiology; D000818:Animals; D001931:Brain Mapping; D002415:Cats; D002452:Cell Count / Q000379:methods; D005583:Fourier Analysis; D005829:Geniculate Bodies / Q000166:cytology / Q000502:physiology; D008954:Models, Biological; D009433:Neural Inhibition / Q000502:physiology; D009474:Neurons / Q000145:classification / Q000502:physiology; D017711:Nonlinear Dynamics; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods; D011237:Predictive Value of Tests; D011930:Reaction Time / Q000502:physiology; D013028:Space Perception / Q000502:physiology*; D014794:Visual Fields / Q000502:physiology*; D014795:Visual Pathways / Q000166:cytology / Q000502:physiology*