Developed MATLAB code and simulation data for the Mozart effect study. The code requires the Bayesian topology identification code and the MVGC toolbox to run (see references)
Recent advances in connectomics research enable the acquisition of increasing amounts of data about ...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
Developed MATLAB code and simulation data for the Mozart effect study. The code requires the Bayesia...
Several studies claim that listening to Mozart music affects cognition and can be used to treat neur...
Motivation: Network inference algorithms are powerful computational tools for identifying putative c...
This paper describes and validates a novel framework using the Approximate Bayesian Computation (ABC...
MOTIVATION: Network inference algorithms are powerful computational tools for identifying putative c...
The study of functional networks in the brain is essential in order to gain a better insight into it...
Studying interactions between different brain regions or neural components is crucial in understandi...
Network data are increasingly collected along with other variables of interest. Our motivation is dr...
Network data are increasingly available along with other variables of interest. Our motivation is dr...
Neuroscientists have shown increased interest in knowing interactions among brain regions activated ...
Code and data for paper "Bayesian optimization for design of multiscale biological circuits" by Merz...
The authors developed a method for analyzing neural electromagnetic data that allows probabilistic i...
Recent advances in connectomics research enable the acquisition of increasing amounts of data about ...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
Developed MATLAB code and simulation data for the Mozart effect study. The code requires the Bayesia...
Several studies claim that listening to Mozart music affects cognition and can be used to treat neur...
Motivation: Network inference algorithms are powerful computational tools for identifying putative c...
This paper describes and validates a novel framework using the Approximate Bayesian Computation (ABC...
MOTIVATION: Network inference algorithms are powerful computational tools for identifying putative c...
The study of functional networks in the brain is essential in order to gain a better insight into it...
Studying interactions between different brain regions or neural components is crucial in understandi...
Network data are increasingly collected along with other variables of interest. Our motivation is dr...
Network data are increasingly available along with other variables of interest. Our motivation is dr...
Neuroscientists have shown increased interest in knowing interactions among brain regions activated ...
Code and data for paper "Bayesian optimization for design of multiscale biological circuits" by Merz...
The authors developed a method for analyzing neural electromagnetic data that allows probabilistic i...
Recent advances in connectomics research enable the acquisition of increasing amounts of data about ...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
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