Biological systems are energy efficient in their information processing. These systems use techniques different from conventional artificial electronic systems to achieve this. Concepts found in in neurobiological systems can be exploited to build faster, more energy efficient and robust electronic systems. It also seems possible that these concepts can be replicated on silicon. Properties and concepts of neural systems are discussed here to give the basic understanding of these systems and possibilities there are in making use of them. Also link between Shannon's Theorem and biological information processing is shortly discussed.
|Title of host publication||Proceedings of the 9th Biennial Baltic Electronics Conference|
|Subtitle of host publication||Tallinn, Estonia, 4-6 October 2004|
|Publisher||Tallinn University of Technology|
|ISBN (Print)||9985-59462-2, 978-9985-59462-9|
|Publication status||Published - 2004|
|MoE publication type||A4 Article in a conference publication|
Mäkipää, J., & Åberg, M. (2004). Energy efficiency through neuromorphism. In Proceedings of the 9th Biennial Baltic Electronics Conference: Tallinn, Estonia, 4-6 October 2004 (pp. 133-136). Tallinn University of Technology.