Short Description: We have implemented a model which is ment for extracting coherent representations from multi-modal data. The model consists of a hierarchy of interconnected units. Initial experiments which verify that the model works in principle were reported in D5.3. This deliverable reports experiments with more realistic multi-modal data and discusses the background and motivation of the...

In this paper, load frequency control in two-area multiunits interconnected hydro thermal power system has been investigated. When an interconnected power system is subjected to heavy load disturbances, the system frequency and tie-line power flow are disturbed which leads to system instability. To stabilize the system frequency oscillations and tie line power flow variations, a PID controller ...

We investigate the dynamics of a network consisting of an array of identical cortical units with nearest neighbor interactions under periodic arousal. Each unit consists of two interconnected populations of neurons tuned to a state in which many nonlinear resonances are available. The network is critically balanced due to short-ranged antisymmetric connections between units. For wide ranges of ...

The human hand and the brain are close partners in two important and closely interconnected functions, i.e. to explore the physical world and to reshape selected segments of it according to man's intentions. Both these functions are highly dependent on accurate descriptions of mechanical events when objects are brought in contact with the hand. A key role in providing such information is played...

Ultrathin MFI-zeolite nanosheets can be packed on porous supports to create molecular sieve membranes. The nanosheets on porous support reduce morphological damage seen in regular MFIzeolite crystals [1]. MFI-zeolite belongs to pentasil family of zeolites where the periodic building unit (PerBU) is composed of 12 interconnected SiO4 tetrahedral (T12) units of 41m2 (D2d) symmetry [2]. Rotation o...

Enzymes enable life by accelerating reaction rates to biological timescales. Conventional studies have focused on identifying the residues that have a direct involvement in an enzymatic reaction, but these so-called 'catalytic residues' are embedded in extensive interaction networks. Although fundamental to our understanding of enzyme function, evolution, and engineering, the properties of thes...

Connectionism is a powerful form of associationist learning theory that broadly reflects the computational style of the brain. Information is represented as distributed patterns of activity over densely interconnected networks of neuron-like processing units, and learning occurs through modifications of the strength of connections between units. Networks are trained on specific tasks and their ...