This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
— In this paper we evaluate, by means of Extrinsic Information Transfer (EXIT) charts, an iterative receiver that has emerged as a promising candidate for non-coherent multi-user...
Peter Hammarberg, Fredrik Rusek, Pierluigi Salvo R...
In this paper, we consider the Grand Challenge under a very specific perspective: the enabling of application experts without programming knowledge to reliably model their busines...
In this paper, we assess the possibility of a critical knowledge of technology. In the case of facial recognition systems, ‘FRS’, we argue that behaviorism underlies this tech...