… 4 Representing the World Introduction Constructing a visual world Thumbnail sketch of
the mammalian visual system Representing in the brain: What can we learn from the visual …

… tasks since the brain has access to information about the motor command … the MCI is then
equivalent to learning the mapping between the efferent command and its consequence in the …

… The truth is that we are still at a loss to explain how the brain does all but the most elementary
things… But the brain is also the last great target in medicine; the more we can understand it, …

… the brain rather than looking to technology for brain models. This study explores the concept
of ANNs as a simulator of the … It also explores why brain-like intelligence is needed and how …

… Here, we focus primarily on the incorporation of empirical brain network architecture to
provide principled inductive biases to predictive (encoding/decoding) brain models. We expect …

… 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 …

… from the range of submissions we received that our understanding of a computational model
of the brain … detailing a range of computational techniques for the analysis of functional and …

… in computational neuroscience that relate to psychiatry. We review computational psychiatry
in terms of the … Our focus is on theoretical formulations of brain function that put subjective …

… In this book, I repeatedly contrast my emphasis on the brain with the tendency of others in
the field to focus on theory rather than detail. Perhaps I occasionally disparage these poor …

… the presence of noise with the computational and learning capability of a more complex
nonlinear readout. In addition, the … that the expression of each principle is regulated by the brain …