A silicon model of early visual processing

نویسندگان

  • Carver Mead
  • Misha Mahowald
چکیده

Mally of the most striking phenomena known from perceptual psychology are a direct result of the first levels of neural processing. In the visual systems of higher animals, the well-known center-surround response to local stimuli is responsible for some of the strongest visual illusions. For example, Mach bands, the Hermann-Hering grid illusion, and the Craik-O'Brian-Comsweet illusion can all be traced to simple inhibitory interactions between elements of the retina (Ratliff 1965). The high degree to which a perceived image is independent of the absolute illumination level can be viewed as a property of the mechanism by which incident light is transduced into an electrical signal. We present a model of the first stages of retinal processing in which these phenomena are viewed as natural by-products of the mechanism by which the system adapts to a wide range of viewing conditions. Our retinal model is implemented as a single silicon chip, which contains integrated photoreceptors and processing elements; this chip generates, in real time, outputs that correspond directly to signals observed in the corresponding levels of biological retinas.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

برتری جانبی مغزی پردازش محرک‌های دیداری کلی- جزیی در بیماران مبتلا به اختلال وسواسی- اجباری

Objectives: Clinical and neuropsychological evidence indicate that patients with obsessive-compulsive disorder might have difficulty in early stages of processing visual global-local stimuli. This study was carried out to compare global-local visual processing and its cerebral lateralization among patients with obsessive-compulsive disorder and normal controls. Method: The present study is a ca...

متن کامل

Graph-based Visual Saliency Model using Background Color

Visual saliency is a cognitive psychology concept that makes some stimuli of a scene stand out relative to their neighbors and attract our attention. Computing visual saliency is a topic of recent interest. Here, we propose a graph-based method for saliency detection, which contains three stages: pre-processing, initial saliency detection and final saliency detection. The initial saliency map i...

متن کامل

NEURAL NETWORK MODELING OF THE EFFECT OF COOLING SLOPE CASTING PARAMETERS ON PARTICLE SIZE OF PRIMARY SILICON CRYSTALS OF SEMISOLID CAST INGOTS OF Al-20Si (wt%)

Abstract: Cooling slope-casting processing is a relatively new technique to produce semisolid cast feedstock for the thixoforming process. Simple equipment, ease of operation, and low processing costs are the main advantages of this process in comparison with existing processes such as mechanical stirring, electromagnetic stirring, etc. The processing parameters of cooling slope casting are...

متن کامل

Visual attention to the Logos of Popular and Unknown Brands: An Eye-tracking Study during Decision-making

A logo epitomizes a brand and depicts the picture of a product; consequently, attention, as an initial step of the AIDA model, to the logo is a good-looking index to survey the cognitive processing during consumers’ decision-making. Eye tracker extracts the visual attention data. For these reasons and appreciated from fixation duration, in the present study, the process of visual attention to t...

متن کامل

Silicon Models of Visual Cortical Processing - Neural Networks, 1996., IEEE International Conference on

Receptive field structures found in the visual cortex of the mammalian brain act as oriented, localized spatial frequency filters. There has been recent interest in the use of such receptive field profiles for image coding and texture processing. These receptive field structures resemble Gabor filters. Systems employing such Gabor filters have been implemented in software for a variety of appli...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Neural Networks

دوره 1  شماره 

صفحات  -

تاریخ انتشار 1988