Scale-invariance of receptive field properties in primary visual cortex

Teichert, Tobias; Wachtler, Thomas ; Michler, Frank; Gail, Alexander und Eckhorn, Reinhard (2007): Scale-invariance of receptive field properties in primary visual cortex. In: BMC Neuroscience 8:38

Abstract

Background: Our visual system enables us to recognize visual objects across a wide range of spatial scales. The neural mechanisms underlying these abilities are still poorly understood. Size- or scale-independent representation of visual objects might be supported by processing in primary visual cortex (VI). Neurons in VI are selective for spatial frequency and thus represent visual information in specific spatial wavebands. We tested whether different receptive field properties of neurons in VI scale with preferred spatial wavelength. Specifically, we investigated the size of the area that enhances responses, i.e., the grating summation field, the size of the inhibitory surround, and the distance dependence of signal coupling, i.e., the linking field. Results: We found that the sizes of both grating summation field and inhibitory surround increase with preferred spatial wavelength. For the summation field this increase, however, is not strictly linear. No evidence was found that size of the linking field depends on preferred spatial wavelength. Conclusion: Our data show that some receptive field properties are related to preferred spatial wavelength. This speaks in favor of the hypothesis that processing in VI supports scale-invariant aspects of visual performance. However, not all properties of receptive fields in VI scale with preferred spatial wavelength. Spatial-wavelength independence of the linking field implies a constant spatial range of signal coupling between neurons with different preferred spatial wavelengths. This might be important for encoding extended broad-band visual features such as edges.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Biologie > Department Biologie II > Neurobiologie
• Themengebiete: 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
• ISSN: 1471-2202
• Sprache: Englisch