Guiding Synchrony through Random Networks

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Guiding synchrony through random networks

Sven Jahnke1−3, Marc Timme1−3, Raoul-Martin Memmesheimer Network Dynamics Group, Max Planck Institute for Dynamics & Self-Organization (MPIDS), Bernstein Center for Computational Neuroscience (BCCN), 37073 Göttingen, Germany, Fakultät für Physik, Georg-August-Universität Göttingen, and Donders Institute, Department for Neuroinformatics, Radboud University, Nijmegen, Netherlands. (Dated: Mon Jun...

متن کامل

Growing Networks Through Random Walks Without Restarts

Network growth and evolution is a fundamental theme that has puzzled scientists for the past decades. A number of models have been proposed to capture important properties of real networks. In an attempt to better describe reality, more recent growth models embody local rules of attachment, however they still require a primitive to randomly select an existing network node and then some kind of ...

متن کامل

Competition Through Selective Inhibitory Synchrony

Models of cortical neuronal circuits commonly depend on inhibitory feedback to control gain, provide signal normalization, and selectively amplify signals using winner-take-all (WTA) dynamics. Such models generally assume that excitatory and inhibitory neurons are able to interact easily because their axons and dendrites are colocalized in the same small volume. However, quantitative neuroanato...

متن کامل

Guiding random test generation with program analysis

Random test generation is effective in creating method sequences for exercising the software under test. However, black-box approaches for random testing are known to suffer from low code coverage and limited defect detection ability. Analyzing the software under test and using the extracted knowledge to guide test generation can help to overcome these limitations. We developed a random test ca...

متن کامل

Synchrony in excitatory neural networks

Synchronization properties of fully connected networks of identical oscillatory neurons are studied, assuming purely excitatory interactions. We analyze their dependence on the time course of the synaptic interaction and on the response of the neurons to small depolarizations. Two types of responses are distinguished. In the first type, neurons always respond to small depolarization by advancin...

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: Physical Review X

سال: 2012

ISSN: 2160-3308

DOI: 10.1103/physrevx.2.041016