Temporal dynamics of spatial frequency representation in IT Cortex

سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 583

نسخه کامل این مقاله ارائه نشده است و در دسترس نمی باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

NSCMED08_178

تاریخ نمایه سازی: 15 دی 1398

چکیده مقاله:

Background and Aim : One of the important features in information processing along the visual hierarchy from the retina to the inferotemporal cortex is the spatial frequency of input images. A massive body of studies suggests that stimulus with different frequency contents has distinct representations in the primary visual system. However, the representation of stimulus with different spatial frequencies in high level visual areas across the ventral stream is poorly understood.Methods : Using neural data recorded from the monkey brain, we examined and analyzed the representation of spatial frequency filtered objects at different levels of abstraction. A combination of coding and decoding methods were applied to extract temporal dynamics of category information at a different level of abstraction. Using band pass spatial frequency filters, we produce three versions of stimuli including Intact (no filter), High (high pass spatial frequency filter), and Low (low pass spatial frequency filter).Results : Consistent with previous studies, we observed the basic level advantages in Intact stimuli, whereas the temporal dynamic of category representation exhibits different patterns of advantages in Low and High spatial frequency stimuli. In Low stimuli, there is a great advantage of the basic level while in High stimuli, the basic and subordinate level exhibit a similar time course of representation.Conclusion : Our observation provides evidence for the interaction of spatial frequency and temporal dynamics of category representation in the visual cortex.

نویسندگان

Esmaeil Farhang

Cognitive Systems Laboratory, Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

Behnam Karami

School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran and School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Roxana Koushki

School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran and School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Farideh Shakerian

Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran and Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran