… of the computational model, and as such the main aim is to find the best definition and
identification method for brain states that maximally reflect the capabilities of the model and …

… as computation over meaningful representations in the brain to … the use of the term ‘representation’
but, rather, as a proposal about how to understand the computational role of the …

… to noninvasively measure the biomechanical response of the human brain with … computational
brain biomechanics models. Specifically, this paper reports on a project supported by the …

… We present a validated cloud-based computational brain … brain models and outputs a
quantitative description of brain tissue … increase the personalization of computational brain …

… Here we introduce a computational system which promises to bridge this gap: the Assembly
… computational model of the brain based on assemblies of neurons; we call this system the …

… The computation of the prediction error is defined in the SUM-variant as the computation of
the difference between the … distribution Pr (Pred) over the set of prediction variables Pred. …

… Some forms of data science applications simply replace the thing we aim to understand (eg,
the brain, behavior, the capacity of a system for human language) with another black box (eg…

… last century were dominated by physics and molecular biology, in the current century one
of … how the brain works. A full understanding of brain functions and malfunctions is likely the …

… a regression-based model-to-brain alignment approach 20,21,23,… the model and the
activation of each brain region. To determine the weights of that linear mapping, we used the brain …

… features support computation in the brain when solving a task? At a meso/macro-scale level
of the … topology of real connectomes on the computation capacities of recurrent networks, we …