Spiking image processing unit based on neural analog of Boolean logic operations

被引:1
作者
Nazari, Soheila [1 ]
Keyanfar, Alireza [1 ]
Van Hulle, Marc M. [2 ]
机构
[1] Shahid Beheshti Univ, Fac Elect Engn, Tehran, Iran
[2] Univ Leuven, Dept Neurosci, Lab Neuro & Psychophysiol, KU Leuven, B-3000 Leuven, Belgium
关键词
Spiking image processing unit; Spiking frequency gates; Coordinate logic operations; Spiking neural circuit; P SYSTEMS; MODEL; NETWORKS; COMPUTATION; ORGANIZATION; PERCEPTRON; ALGORITHM; CIRCUITS; DYNAMICS; NEURONS;
D O I
10.1007/s11571-022-09917-9
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
McCulloch and Pitts hypothesized in 1943 that the brain is entirely composed of logic gates, akin to current computers' IP cores, which led to several neural analogs of Boolean logic. The current study proposes a spiking image processing unit (SIPU) based on spiking frequency gates and coordinate logic operations, as a dynamical model of synapses and spiking neurons. SIPU can imitate DSP functions like edge recognition, picture magnification, noise reduction, etc. but can be extended to cater for more advanced computing tasks. The proposed spiking Boolean logic platform can be used to develop advanced applications without relying on learning or specialized datasets. It could aid in gaining a deeper understanding of complex brain functions and spur new forms of neural analogs.
引用
收藏
页码:1649 / 1660
页数:12
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