Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems

Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives should be studied as well, even if their properties are less familiar to chip designers. While contemplating biological neurons as an alternative component may seem preposterous at first sight, significant recent progress in CMOS-neuron interface suggests this direction may not be unrealistic; moreover, biological neurons are known to self-assemble into very large networks capable of complex information processing tasks, something that has yet to be achieved with other emerging technologies. The first step to designing computing systems on top of biological neurons is to build an abstract model of selfd biological neural networks, much like computer architects manipulate abstract models of transistors and circuits. In this article, we propose a first model of the structure of biological neural networks. We p...

• Type: Conference
• Year: 2005
• Where: IWANN
• Authors: Hugues Berry, Olivier Temam
• Keywords: Biological Neural Networks, Biological Neurons, IWANN 2005, Large Networks