This paper presents the development of a system that implements the popular game known as tic-tac-toe (X&0). The game can be played by two players, each of them having its own keypad and display. Each keypad-display pair is connected to a MSP430G2553 microcontroller. Each of the two systems achieved in this way also contain one Bluetooth communication module. By using these modules, the two systems communicate with each other and each player sees on its display the position where the other puts its mark even if they are at a distance from each other. The hardware and software structure of the two blocks of this electronic game as well as the rules of use are presented.

Simulating large spiking neural networks (SNN) with a high level of realism in a field programmable gate array (FPGA) requires efficient network architectures that satisfy both resource and interconnect constraints, as well as changes in traffic patterns due to learning processes. Based on a clustered SNN simulator concept, in this thesis, an energyefficient multipath ring network topology is presented for the neuronto-neuron communication. It is compared in terms of its mathematical properties with other common network topology graphs after which the traffic distributions across it and a two dimensional torus network are estimated and contrasted. As a final characterization step, the energy-delay product of the multipath topology is estimated and compared with other low power architectures. In addition, a simplified