From basic network principles to neural architecture: emergence of spatial-opponent cells.
نویسنده
چکیده
The functional architecture of mammalian visual cortex has been elucidated in impressive detail by experimental work of the past 20-25 years. The origin of many of the salient features of this architecture, however, has remained unexplained. This paper is the first of three (the others will appear in subsequent issues of these Proceedings) that address the origin and organization of feature-analyzing (spatial-opponent and orientation-selective) cells in simple systems governed by biologically plausible development rules. I analyze the progressive maturation of a system composed of a few layers of cells, with connections that develop according to a simple set of rules (including Hebb-type modification). To understand the prenatal origin of orientation-selective cells in certain primates, I consider the case in which there is no external input, with the first layer exhibiting random spontaneous electrical activity. No orientation preference is specified to the system at any stage, and none of the basic developmental rules is specific to visual processing. Here I introduce the theory of "modular self-adaptive networks," of which this system is an example, and explicitly demonstrate the emergence of a layer of spatial-opponent cells. This sets the stage for the emergence, in succeeding layers, of an orientation-selective cell population.
منابع مشابه
Architecture in Transition Era toward Network Society
Technology affected human life in many ways in different eras of mankind history. Today, the information and telecommunication technology has revolutionized basic structures of human life. Changes are from the whole to the parts and vice versa, which include family and society too. Family lost its former structure in the information age and differentiated from patriarchy family. Societies have ...
متن کاملEmergence of signs of neural cells after exposure of bone marrow-derived mesenchymal stem cells to fetal brain extract
Objective(s): Nowadays much effort is being invested in order to diagnose the mechanisms involved in neural differentiation. By clarifying this, making desired neural cells in vitro and applying them into diverse neurological disorders suffered from neural cell malfunctions could be a feasible choice. Thus, the present study assessed the capability of fetal brain extract (FBE) to induce rat bon...
متن کاملFrom basic network principles to neural architecture: emergence of orientation-selective cells.
This is the second paper in a series of three that explores the emergence of several prominent features of the functional architecture of visual cortex, in a "modular self-adaptive network" containing several layers of cells with parallel feedforward connections whose strengths develop according to a Hebb-type correlation-rewarding rule. In the present paper I show that orientation-selective ce...
متن کاملPredicting the coefficients of the Daubert and Danner correlation using a neural network model
In the present research, three different architectures were investigated to predict the coefficients of the Daubert and Danner equation for calculation of saturated liquid density. The first architecture with 4 network input parameters including critical temperature, critical pressure, critical volume and molecular weight, the second architecture with 6 network input parameters including the on...
متن کاملProvide a Deep Convolutional Neural Network Optimized with Morphological Filters to Map Trees in Urban Environments Using Aerial Imagery
Today, we cannot ignore the role of trees in the quality of human life, so that the earth is inconceivable for humans without the presence of trees. In addition to their natural role, urban trees are also very important in terms of visual beauty. Aerial imagery using unmanned platforms with very high spatial resolution is available today. Convolutional neural networks based deep learning method...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Proceedings of the National Academy of Sciences of the United States of America
دوره 83 19 شماره
صفحات -
تاریخ انتشار 1986