The aim of this thesis is to deluge the latest studies in chaotic dynamics and their relevance in neural computing, as also to inspect a new learning algorithm for a network of chaotic spiking neurons as it is recently proposed by Nigel Crook et al. [1]. The thesis will tackle the latest research in the field of information processing and chaotic neural networks, and will contribute to the recent work of Nigel Crook et al. [1] by finding a suitable learning algorithm for chaotic neurons. The learning algorithm based on biological realism will be implemented in a network of chaotic spiking ...