Computational Neuroscience: Mathematical and Statistical Perspectives
نویسندگان
چکیده
Mathematical and statistical models have played important roles in neuroscience, especially by describing the electrical activity of neurons recorded individually, or collectively across large networks. As the field moves forward rapidly, new challenges are emerging. For maximal effectiveness, those working to advance computational neuroscience will need to appreciate and exploit the complementary strengths of mechanistic theory and the statistical paradigm.
منابع مشابه
Article Introductory Life Science Mathematics and Quantitative Neuroscience Courses
We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an upper-division course in computational neuroscience. We pr...
متن کاملMental illness from the perspective of theoretical neuroscience.
Theoretical neuroscience, which characterizes neural mechanisms using mathematical and computational models, is highly relevant to central problems in the philosophy of psychiatry. These models can help to solve the explanation problem of causally connecting neural processes with the behaviors and experiences found in mental illnesses. Such explanations will also be useful for generating better...
متن کاملComputational Neuroscience: a Brief Overview
Computational and mathematical modeling is an increasingly useful approach for investigating the functionality of the nervous system. Though such modeling has been used for decades, recent advances in computational power and numerical techniques have greatly expanded its scope, with a corresponding increase in research activity. This paper presents a brief – and necessarily incomplete – review ...
متن کاملAdding New Mathematical Functions and Statistical Distributions in WinBUGS
WinBUGS is one of the usual softwares in computational Bayesian statistics, which is used to fit Baysian models easily. Although this software has usual mathematical functions and statistical distributions as built in functions, sometimes it is necessary to include other functions and distributions in computations which is done by some tricks and indirectly. By using WinBUGS developmen...
متن کاملComputational Psychiatry Entry for the Encyclopædia of Computational Neuroscience
Computational Psychiatry is a heterogeneous field at the intersection of computational neuroscience and psychiatry. Incorporating methods from psychiatry, psychology, neuroscience, behavioural economics and machine learning, computational psychiatry focuses on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. The models span a wide range from biolog...
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:
دوره شماره
صفحات -
تاریخ انتشار 2017