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Opening the black box or Pandora's Box?

The brain carries out tasks that are very demanding from a computational perspective, apparently powered by a mere 20 W. This fact has intrigued computer scientists for many decades, and is currently drawing many of them to the quest of acquiring ...

Both conceptual modeling and machine learning have long been recognized as important areas of research. With the increasing emphasis on digitizing and processing large amounts of data for business and other applications, it would be ...

Child obesity is an increasingly pervasive problem. Traditional therapy programs are time- and cost-intensive and their success is often not guaranteed due to the individual characteristics of patients. Thus, a more patient-centric approach is ...

The quality of visual input impacts both human and machine perception. Consequently many processing techniques exist that deal with different distortions. Usually they are applied freely and unsupervised. We propose a novel method called CD${}^2$ to ...${}^{\mathrm{}}$

We analyze linear independence of rank one tensors produced by tensor powers of randomly perturbed vectors. This enables efficient decomposition of sums of high-order tensors. Our analysis builds upon Bhaskara et al. [3] but allows for a wider range of ...

Recurrent networks of spiking neurons (RSNNs) underlie the astounding computing and learning capabilities of the brain. But computing and learning capabilities of RSNN models have remained poor, at least in comparison with ANNs. We address two possible ...

We reexamine in this article the conceptual and mathematical framework for understanding the organization of plasticity in spiking neural networks. We propose that inherent stochasticity enables synaptic plasticity to carry out probabilistic inference ...

Obesity is a global issue and has a direct impact on the public and private healthcare system. In this paper we describe the design and evaluation of a novel mobile health application that supports obese children and their parents to improve their ...

Content Management Systems (CMSs) are used in almost every industry by millions of end-user organizations. In contrast to the 90s, they are no longer used as isolated applications in one organization but they support critical core operations in business ...

The brain faces the problem of inferring reliable hidden causes from large populations of noisy neurons, for example, the direction of a moving object from spikes in area MT. It is known that a theoretically optimal likelihood decoding could be carried ...

Designing Ubiquitous Information Systems (UIS) for supporting complex everyday situations requires extended design methods and models. To address this, we introduce design models as a special class of conceptual models that support design processes for ...

The generation of robust periodic movements of complex nonlinear robotic systems is inherently difficult, especially, if parts of the robots are compliant. It has previously been proposed that complex nonlinear features of a robot, similarly as in ...

In information-rich environments, participants can, and often must, access and use diverse sources of data to support their decision-making tasks. Modeling such environments is important, but cannot be done without effective conceptual models. A problem ...

We present a biologically inspired recurrent network of spiking neurons and a learning rule that enables the network to balance a ball on a flat circular arena and to steer it towards a target field, by controlling the inclination angles of the arena. ...

Designing complex information systems is a task performed by design teams with team members coming from different domains with different expertise. Shared understanding between members of a design team throughout a project is still a challenge. A design ...

Content Management Systems (CMSs) are used in almost every industry by millions of end-user organizations. In contrast to the 90s, they are no longer used as isolated applications in one organization but they support critical core operations in business ...

The control of compliant robots is, due to their often nonlinear and complex dynamics, inherently difficult. The vision of morphological computation proposes to view these aspects not only as problems, but rather also as parts of the solution. Non-rigid ...

Effective conceptual modeling requires a shared understanding of the concepts that are found in an application domain. Achieving such understanding, especially for large design problems, is a challenging, and long-standing problem. Conceptual models ...