Title :
Synchronization using an adaptive threshold in a biologically inspired spatiotemporal neuron
Author :
Richardson, Warren A. ; Clouse, Raja L. ; Kim, Soowon ; Waldron, Manjula B.
Author_Institution :
Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA
Abstract :
It is shown that an adaptive threshold can be used to perform synchronization in a network of biologically inspired neurons. The proposed learning algorithm is able to synchronize a network of neurons with similar inputs arranged in a grid-like architecture with nearest neighbor connections. This synchronization was performed on networks of varying sizes (2×1 and 32×32). This approach may be useful in applications of spatiotemporal signal processing, such as image segregation and temporal feature binding
Keywords :
learning (artificial intelligence); neural nets; signal processing; synchronisation; adaptive threshold; biologically inspired spatiotemporal neuron; grid-like architecture; image segregation; learning algorithm; nearest neighbor connections; spatiotemporal signal processing; synchronization; temporal feature binding; Artificial neural networks; Attenuation; Biological system modeling; Biomedical engineering; Delay effects; Frequency synchronization; Neurons; Oscillators; Signal processing algorithms; Spatiotemporal phenomena;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.548986
