| T. S. Lee, D. Mumford, R. Romero, and V. A. F. Lamme, "The role of the primary visual cortex in higher level vision," Vision Res. 38, 2429--2454 (1998). |
....mutual information I can be computed from the joint probability of ensemble responses of the center and the surround. The steady state responses of the V1 neurons, as a result of this contextual modulation, are said to be more correlated to perceptual pop out than the neurons initial responses [5,6]. The complexity of the steady state response in the early visual cortex is described by the following conditional entropy, a. However, the computation in V1 is not limited to the creation of compact representation through surround inhibition. In fact, we have suggested that V1 plays ....
....conditional entropy, a. However, the computation in V1 is not limited to the creation of compact representation through surround inhibition. In fact, we have suggested that V1 plays an active role in scene interpretation particularly when such inference involves high resolution details [6]. Visual tasks such as the inference of contour and surface likely involve V1 heavily. These computations could further modify the steady state responses of V1, and hence the control of saccadic eye movements. Mental Mosaic Representation The perceptual representation provides the basic force ....
Lee, T.S., Mumford, D., Romero R. & Lainroe, V.A.F. (1998). The role of primary visual cortex in higher level vision. Vision Research 38, 2429-2454.
....cells in V1 mimic Gabor filters and their combinations, and appear within 40 milliseconds of stimulus onset quickly enough to serve as input to the FFA. Later responses in the same cells reflect textural and boundary completion properties, but appear as late as 200 milliseconds post onset [15], probably too late to influence the expert recognition process. Finally, expert object recognition is viewpoint dependent. The response of the FFA, for example, to images of faces presented upside down is minimal [16] The FFA responds to faces viewed head on or in profile, but not to images of ....
T. S. Lee, D. Mumford, R. Romero, and V. A. F. Lamme, "The role of the primary visual cortex in higher level vision," Vision Research, vol. 38, pp. 2429-2454, 1998.
....sometimes, but is usually neglected in practice. Nevertheless, a thoughtful look at a few pictures readily convinces that in many cases edge detection, segmentation, three dimensional reconstruction and image understanding are impossible without each other. Neuroanatomical [43] and psychophysical [48] evidence suggests that in primates these processes influence each other, and take place simultaneously or at least overlap in time. A neighbor field of image processing poses other problems: image enhancement, restoration, compression that may seem di#erent and even unrelated. However in ....
Lee, T. S., D. Mumford, R. Romero, and V. A. F. Lamme: 1998, `The role of the primary visual cortex in higher level vision'. Vision Research 38, 2429--2454.
....the saliency of structured patterns more than random ones, resulting in clearer separation of two types of patterns. The mechanism of the reconfiguration process is similar to the recurrent excitation and inhibition of the V1 cells and has e#ects on contour enhancement and texture suppression. [12] Our success in separating patterns reinforces Lee s proposed mechanism [12] The research on detecting edges at sub pixel accuracy under noisy condition dates back to Hueckel s work [7] Typically, edge locations are estimated in the continuous domain based on theoretical modeling of image ....
....clearer separation of two types of patterns. The mechanism of the reconfiguration process is similar to the recurrent excitation and inhibition of the V1 cells and has e#ects on contour enhancement and texture suppression. 12] Our success in separating patterns reinforces Lee s proposed mechanism [12]. The research on detecting edges at sub pixel accuracy under noisy condition dates back to Hueckel s work [7] Typically, edge locations are estimated in the continuous domain based on theoretical modeling of image formation and edge detection processes. Noise is often handled either by explicit ....
T. S. Lee, D. Mumford, R. Romero, and V. A. F. Lamme. The role of the primary visual cortex in higher level vision. Vision Res., 38:2429--2454, 1998.
.... to areas outside the classical receptive field (von der Heydt et al. 1984; Peterhans and von der Heydt, 1989) These responses might be related to figure ground mechanisms (von der Heydt et al. 1993; Baumann et al. 1997; Heitger et al. 1998) Lamme et al. Lamme, 1995; Zipser et al. 1996; Lee et al. 1998) have recently discovered that responses of cells of V1 to textured stimuli are enhanced when the area under the receptive field is a figure compared to when it is ground . These authors attribute the enhancement to the presence of a figure border that would stimulate figure ground segregation ....
....is consistent with this notion. Only a small proportion of cells was border ownership selective in V1, whereas such selectivity was common in V2 and V4. The influence of global figure ground organization has recently been demonstrated in responses of cells of V1 (Lamme, 1995; Zipser et al. 1996; Lee et al. 1998). Lamme (1995) used random textures of lines or dots in which figures were defined by a difference in orientation or motion of the texture elements. Responses were found to be enhanced when a figure was presented over the receptive field compared to a homogeneous texture. There are some ....
[Article contains additional citation context not shown here]
Lee TS, Mumford D, Romero R, Lamme VAF (1998) The role of the primary visual cortex in higher level vision. Vision Res 38:2429 --2454.
....mutual information I can be computed from the joint probability of ensemble responses of the center and the surround. The steady state responses of the V1 neurons, as a result of this contextual modulation, are said to be more correlated to perceptual pop out than the neurons initial responses [5,6]. The complexity of the steady state response in the early visual cortex is described by the following conditional entropy, H(u(R x ; t)ju( Omega x ; t Gamma ffi t 1 ) H(u(R x ; t) Gamma I(u(R x ; t) u( Omega x ; t Gamma ffi t 1 ) However, the computation in V1 is not limited ....
.... x ; t Gamma ffi t 1 ) However, the computation in V1 is not limited to the creation of compact representation through surround inhibition. In fact, we have suggested that V1 plays an active role in scene interpretation particularly when such inference involves high resolution details [6]. Visual tasks such as the inference of contour and surface likely involve V1 heavily. These computations could further modify the steady state responses of V1, and hence the control of saccadic eye movements. 3 Mental Mosaic Representation The perceptual representation provides the basic force ....
Lee, T.S., Mumford, D., Romero R. & Lamme, V.A.F. (1998). The role of primary visual cortex in higher level vision. Vision Research 38, 2429-2454.
.... (Olshausen and Field, 1996) The filters that expose such sparseness of images are line and edge detectors and operate in area V1 of the primate cortex (van Hateren and Ruderman, 1998) which also is involved in the segmentation of the visual scene into its constituent symbols objects (Lee et al. 1998). It is of interest to establish a similar connection between the statistical structure of natural sound and the information processing properties of auditory systems. Recently, some aspects of the spectro temporal properties of a variety of natural sound ensembles have been characterized (Attias ....
.... 1996) and 60 120 ms, for human speech (Olive et al. 1993) This raises the possibility that efficient processing of the sparse structure of natural sound can facilitate the parsing of auditory symbols, similarly to the visual scene segmentation by filers with sparse outputs in cortical area V1 (Lee et al. 1998). Notably, the sparseness in zebra finch song develops at very short timescales, 0.5 1 ms (Fig. 4) at which the nonlinear dynamics of the syrinx is thought to facilitate the rapid switching of states (Fee et al. 1998) Analogously to the edge detectors in V1, the high kurtosis of these filters ....
Lee, T. S., D. Mumford, R. Romero, and V. A. F. Lamme (1998). The role of the primary visual cortex in higher level vision. Vision Research 38, 2429--2454.
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T. S. Lee, D. Mumford, R. Romero, and V. A. F. Lamme, "The role of the primary visual cortex in higher level vision," Vision Res. 38, 2429--2454 (1998).
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T.S. Lee, D. Mumford, R. Romero, V.A.F. Lamme, "The role of the primary visual cortex in higher level vision", Vision Research 38(15-10), 2429-54 (1998).
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T.S. Lee, D. Mumford, R. Romero, V.A.F. Lamme, "The role of the primary visual cortex in higher level vision," Vision Research 38, 2429-54 (1998).
No context found.
T.S. Lee, D. Mumford, R. Romero, and V.A.F. Lamme, "The role of the primary visual cortex in higher level vision," Vision Research, Vol. 38, pp. 2429--2454, 1998.
No context found.
T. S. Lee, D. Mumford, R. Romero, and V. A. F. Lamme, "The role of the primary visual cortex in higher level vision," Vision Research, vol. 38, pp. 2429-2454, 1998.
No context found.
T.S. Lee, D. Mumford, R. Romero and V.A.F. Lamme. "The Role of the Primary Visual Cortex in Higher Level Vision," Vision Research, 38:2429-2454, 1998.
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