In this paper, we study sparse representation of large-size natural scenes via local spatial dependency decomposition. We propose a local independent factorization model of natural scenes and develop a learning algorithm for adaptation of the synaptic weights. We investigate the dependency of neighboring location of the natural scene patches and derive learning algorithm to train the visual neu...

Weather is known to have a strong effect on traffic volumes. In this paper, we suggest a spatial approach to the modelling of traffic volumes. The relationship between weather variables and traffic volume is first modelled at a global level in a regional city centre in Finland. As strong a spatial dependency is found between the variables in the model, spatial variation is incorporated into the...

We explored the dependency of the saccadic remote distractor effect (RDE) on the spatial frequency content of target and distractor Gabor patches. A robust RDE was obtained with low-medium spatial frequency distractors, regardless of the spatial frequency of the target. High spatial frequency distractors interfered to a similar extent when the target was of the same spatial frequency. We develo...

Early visual evoked potentials (VEPs) measured in humans have recently been observed to be modulated by the image statistics of natural scene imagery. Specifically, the early VEP is dominated by a strong positivity when participants view minimally complex natural scene imagery, with the magnitude of that component being modulated by luminance contrast differences across spatial frequency (i.e.,...

We examined 22 pairs of neurons in Area 17 of cats that were paralyzed and anesthetized with Propofol and N2O. We studied changes in ensemble responses for small (<10deg, 0.1c/deg) and large (>10deg, 0.1c/deg) differences in orientation (OR) and spatial frequency (SF). Examination of temporal resolution and discharge history revealed advantages in discrimination from both dependent (connectivit...