Flashy science: controlling neural function with light.
نویسندگان
چکیده
Scott M. Thompson,1 Joseph P. Y. Kao,1,2 Richard H. Kramer,3 Kira E. Poskanzer,4 R. Angus Silver,5 David Digregorio,5 and Samuel S.-H. Wang6 1Department of Physiology, University of Maryland School of Medicine, Baltimore, Maryland, 21201, 2Medical Biotechnology Center, University of Maryland Biotechnology Institute, Baltimore, Maryland 21201, 3Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, 4Department of Biochemistry, University of California, San Francisco, San Francisco, California 94143, 5Department of Physiology, University College, London WC1E 6BT, United Kingdom, and 6Department of Molecular Biology and Program in Neuroscience, Princeton University, Princeton, New Jersey 08544
منابع مشابه
Forecasting Gold Price Changes: Application of an Equipped Artificial Neural Network
The forecast of fluctuations and prices is the major concern in financial markets. Thus, developing an accurate and robust forecasting decision model is critically favorable to the investors. As gold has shown a special capability to smooth inflation fluctuations, governors use gold as a price controlling lever. Thus, more information about future gold price trends will help to make the firm de...
متن کاملControlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
This paper presents a method to control both the dc boost and the ac output voltage of Z-source inverter using neural network controllers. The capacitor voltage of Z-source network has been controlled linearly in order to improve the transient response of the dc boost control of the Z-source inverter. The peak value of the line to line ac output voltage is used to control and keep the ac output...
متن کاملAN IMPROVED CONTROLLED CHAOTIC NEURAL NETWORK FOR PATTERN RECOGNITION
A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...
متن کاملThe mediating role of Self-Controlled and conflict parents-child in relationship between Psychological Neural Function with Oppositional Defiant Disorder in Deaf Children
Introduction: Hearing impairment in children can cause psychological and communication problems, So the purpose of this research was to investigate the mediating role of Self-Controlled and conflict parents-child in relationship between Psychological Neural Function with Oppositional Defiant Disorder in Deaf Children. Methods: The research method was descriptive-correlational (Structural Equati...
متن کاملAn efficient one-layer recurrent neural network for solving a class of nonsmooth optimization problems
Constrained optimization problems have a wide range of applications in science, economics, and engineering. In this paper, a neural network model is proposed to solve a class of nonsmooth constrained optimization problems with a nonsmooth convex objective function subject to nonlinear inequality and affine equality constraints. It is a one-layer non-penalty recurrent neural network based on the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- The Journal of neuroscience : the official journal of the Society for Neuroscience
دوره 25 45 شماره
صفحات -
تاریخ انتشار 2005