A novel parallel multiplier using spiking neural P systems with dendritic delays

作者：Diaz Carlos; Frias Thania; Sanchez Giovanny^*; Perez Hector; Toscano Karina; Duchen Gonzalo

来源：Neurocomputing, 2017, 239: 113-121.

DOI：10.1016/j.neucom.2017.02.009

• Parallel multiplier
• Spiking neural P system
• Dendritic delay
• Dendritic growth

In the last 10 years, there has been a considerable increase in the number of studies on the development of multiplier circuits based on spiking neural P systems with the aim of taking advantage of their intrinsic distributed parallel computing characteristics. Nevertheless, these efforts have had difficulties in adequately exploiting parallel data processing because they are designed to process the input data using a sequential protocol and thus suffer from the resulting increase in processing time. This paper develops a novel parallel multiplier that is based on spiking neural P systems and is capable of multiplying two natural numbers with many digits in parallel. The proposed method employs the divide and conquer strategy (i.e., segmenting the numbers into units, tens, hundreds, thousands, etc.), to optimize the processing time of the arithmetic operations, and every two Units are treated by a single neuron that can calculate up to 9 x 9 sequentially. The use of one neuron to perform a sequential multiplication represents the best improvement in terms of the number of neurons that has been reported to date.

• 出版日期2017-5-24