Relationship between orientation tuning and spatial frequency in neurones of cat area 17

Vidyasagar, T. R.; Sigüenza, Juan A.

doi:10.1007/bf00237851

Cited by 39 publications

(33 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We further found that there was a weak but significant correlation between the OSI and the preferred SF for V1 neurons in all mice groups except WT mice at 8 weeks (r = 0.27, P = 0.002 for 8-week Tg1 mice; r = 0.12, P = 0.17 for 8-week WT mice; r = 0.42, P = 9.8 × 10 −5 for 14-week Tg1 mice; r = 0.29, P = 0.004 for 14-week WT mice, Supplementary Fig. S6), consistent with previous reports that orientation tuning is sharper at higher SF 19, 20 and suggesting that higher OSI for Tg1 mice may be due to higher SF preference of the neurons.…”

Section: Resultssupporting

confidence: 90%

Altered visual cortical processing in a mouse model of MECP2 duplication syndrome

Zhang

Liu

et al. 2017

Sci Rep

View full text Add to dashboard Cite

As an epigenetic modulator of gene expression, Methyl-CpG binding protein 2 (MeCP2) is essential for normal neurological function. Dysfunction of MeCP2 is associated with a variety of neurological disorders. MECP2 gene duplication in human causes neuropsychiatric symptoms such as mental retardation and autism. MeCP2 overexpression in mice results in neurobehavioural disorders, dendritic abnormalities, and synaptic defects. However, how gain of MeCP2 function influences cortical processing of sensory information remains unclear. In this study, we examined visual processing in a mouse model of MECP2 duplication syndrome (MECP2 Tg1 mouse) at 8 and 14 weeks, which were before and after the onset of behavioural symptoms, respectively. In vivo extracellular recordings from primary visual cortex (V1) showed that neurons in Tg1 mice at both adult ages preferred higher spatial frequencies (SFs) than those in wild-type (WT) littermate controls, and the semi-saturation contrasts of neurons were lower in Tg1 mice at 8 weeks but not at 14 weeks. Behavioural experiments showed that the performance for visual detection at high SFs and low contrasts was higher in MECP2 Tg1 mice. Thus, MeCP2 gain-of-function in mice leads to higher visual acuity and contrast sensitivity, both at the levels of cortical response and behavioural performance.

show abstract

Section: Resultssupporting

confidence: 90%

Altered visual cortical processing in a mouse model of MECP2 duplication syndrome

Zhang

Liu

et al. 2017

Sci Rep

View full text Add to dashboard Cite

show abstract

“…However, this conflict remains unresolved in the experimental literature. Some studies report a lack of separability (24,25), whereas others support separability (26).…”

Section: Discussionmentioning

confidence: 99%

Spatial frequency and orientation tuning dynamics in area V1

Mazer

Vinje²,

McDermott³

et al. 2002

Proc. Natl. Acad. Sci. U.S.A.

262

246

View full text Add to dashboard Cite

Spatial frequency (SF) and orientation tuning are intrinsic properties of neurons in primary visual cortex (area V1). To investigate the neural mechanisms mediating selectivity in the awake animal, we measured the temporal dynamics of SF and orientation tuning. We adapted a high-speed reverse-correlation method previously used to characterize orientation tuning dynamics in anesthetized animals to estimate efficiently the complete spatiotemporal receptive fields in area V1 of behaving macaques. We found that SF and orientation tuning are largely separable over time in single neurons. However, spatiotemporal receptive fields also contain a small nonseparable component that reflects a significant difference in response latency for low and high SF stimuli. The observed relationship between stimulus SF and latency represents a dynamic shift in SF tuning, and suggests that single V1 neurons might receive convergent input from the magno-and parvocellular processing streams. Although previous studies with anesthetized animals suggested that orientation tuning could change dramatically over time, we find no substantial evidence of dynamic changes in orientation tuning.reverse correlation ͉ striate cortex S patial frequency (SF) and orientation tuning are two of the most prominent features of neuronal selectivity in primary visual cortex (area V1) (1). The dynamics of SF and orientation tuning and their interactions are of particular interest to neurophysiologists because they can reveal important information about the specific circuits and mechanisms of neuronal selectivity (2). Dynamic tuning properties may also be critical for understanding natural vision, where eye movements can introduce complex temporal stimulus dynamics (3, 4).We simultaneously measured the temporal dynamics of both SF and orientation tuning in single V1 neurons in the awake primate. Conventional methods for estimating selectivity in V1 use stationary or drifting gratings of constant SF and orientation. Stimuli are presented for relatively long periods (0.3-1 s), and responses are quantified by mean firing rate. Often one stimulus parameter is varied at a time (e.g., orientation tuning is measured at the best SF). Although this approach can yield accurate orientation and SF tuning estimates, it fails to capture both stimulus interactions and temporal response dynamics that can be obscured by nonspecific onset transients. In addition, methods based on static stimuli can be time-consuming. Efficient characterization methods are particularly important when working with behaving animals, where time is almost always at a premium.One efficient way to characterize tuning that also captures temporal response dynamics is to estimate spatiotemporal receptive fields (STRFs) by using reverse correlation. The STRF describes the probability that a particular spatial stimulus will elicit a spike at a particular latency. In effect, the STRF provides a linear model of a neuron's spatiotemporal filtering characteristics (5, 6).In the visual system, STRFs are traditi...

show abstract

“…One could also compare the degree of cortical sharpening of feedforward tuning with the degree of orientation plasticity in the same V1 cells and see whether they are positively correlated as predicted by our study. A related observation is that orientation tuning width in at least some simple cells changes with the spatial frequency of a stimulus (Vidyasagar & Siguenza, 1985). This observation is better explained by a feedforward model because in a recurrent model, the tuning width is largely determined by intracortical interactions and is not very sensitive to stimulus spatial frequency (Ferster & Miller, 2000; Teich & Qian, 2006).…”

Section: Discussionmentioning

confidence: 99%

V1 orientation plasticity is explained by broadly tuned feedforward inputs and intracortical sharpening

Teich

Niu

2010

Vis Neurosci

View full text Add to dashboard Cite

Orientation adaptation and perceptual learning change orientation tuning curves of V1 cells. Adaptation shifts tuning curve peaks away from the adapted orientation, reduces tuning curve slopes near the adapted orientation, and increases the responses on the far flank of tuning curves. Learning an orientation discrimination task increases tuning curve slopes near the trained orientation. These changes have been explained previously in a recurrent model (RM) of orientation selectivity. However, the RM generates only complex cells when they are well tuned, so that there is currently no model of orientation plasticity for simple cells. In addition, some feedforward models, such as the modified feedforward model (MFM), also contain recurrent cortical excitation and it is unknown whether they can explain plasticity. Here, we compare plasticity in the MFM, which simulates simple cells, and a recent modification of the RM (MRM), which displays a continuum of simple-to-complex characteristics. Both pre- and post-synaptic based modifications of the recurrent and feedforward connections in the models are investigated. The MRM can account for all of the learning and adaptation-induced plasticity, for both simple and complex cells, while the MFM cannot. The key features from the MRM required for explaining plasticity are broadly tuned feedforward inputs and sharpening by a Mexican-hat intracortical interaction profile. The mere presence of recurrent cortical interactions in feedforward models like the MFM is insufficient; such models have more rigid tuning curves. We predict that the plastic properties must be absent for cells whose orientation tuning arises from a feedforward mechanism.

show abstract

Relationship between orientation tuning and spatial frequency in neurones of cat area 17

Cited by 39 publications

References 20 publications

Altered visual cortical processing in a mouse model of MECP2 duplication syndrome

Altered visual cortical processing in a mouse model of MECP2 duplication syndrome

Spatial frequency and orientation tuning dynamics in area V1

V1 orientation plasticity is explained by broadly tuned feedforward inputs and intracortical sharpening

Contact Info

Product

Resources

About