Simple reaction time with markovian evolution of gaussian discriminal processes

نویسندگان

چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Thurstone's Discriminal Processes Fifty Years Later

Four issues are discussed concerning Thurstone's discriminal processes: the distributions governing the representation, the nature of the response decision rules, the relation of t.he mean representation to physical characteristics of the stimulus, and factors affecting the variance of the representation. A neural schema underlying the representation is proposed which involves samples in time o...

متن کامل

Local evolution equations for non-Markovian processes

A Fokker-Planck equation approach for the treatment of non-Markovian stochastic processes is proposed. The approach is based on the introduction of fictitious trajectories sharing with the real ones their local structure and initial conditions. Different statistical quantities are generated by different construction rules for the trajectories, which coincide only in the Markovian case. The meri...

متن کامل

The Rate of Entropy for Gaussian Processes

In this paper, we show that in order to obtain the Tsallis entropy rate for stochastic processes, we can use the limit of conditional entropy, as it was done for the case of Shannon and Renyi entropy rates. Using that we can obtain Tsallis entropy rate for stationary Gaussian processes. Finally, we derive the relation between Renyi, Shannon and Tsallis entropy rates for stationary Gaussian proc...

متن کامل

Gaussian estimates for symmetric simple exclusion processes

2014 We prove Gaussian tail estimates for the transition probability of n particles evolving as symmetric exclusion processes on Zd, improving results obtained in [9]. We derive from this result a non-equilibrium Boltzmann-Gibbs principle for the symmetric simple exclusion process in dimension 1 starting from a product measure with slowly varying parameter. RÉSUMÉ. 2014 We prove Gaussian tail e...

متن کامل

Optimization by Gaussian Processes assisted Evolution Strategies

Evolutionary Algorithms (EA) are excellent optimization tools for complex high-dimensional multimodal problems. However, they require a very large number of problem function evaluations. In many engineering optimization problems, like high throughput material science or design optimization, a single fitness evaluation is very expensive or time consuming. Therefore, standard evolutionary computa...

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

ژورنال

عنوان ژورنال: Psychometrika

سال: 1970

ISSN: 0033-3123,1860-0980

DOI: 10.1007/bf02290596