Abstract:
:Due to many experimental reports of synchronous neural activity in the brain, there is much interest in understanding synchronization in networks of neural oscillators and its potential for computing perceptual organization. Contrary to Hopfield and Herz (1995), we find that networks of locally coupled integrate-and-fire oscillators can quickly synchronize. Furthermore, we examine the time needed to synchronize such networks. We observe that these networks synchronize at times proportional to the logarithm of their size, and we give the parameters used to control the rate of synchronization. Inspired by locally excitatory globally inhibitory oscillator network (LEGION) dynamics with relaxation oscillators (Terman & Wang, 1995), we find that global inhibition can play a similar role of desynchronization in a network of integrate-and-fire oscillators. We illustrate that a LEGION architecture with integrate-and-fire oscillators can be similarly used to address image analysis.
journal_name
Neural Computjournal_title
Neural computationauthors
Campbell SR,Wang DL,Jayaprakash Cdoi
10.1162/089976699300016160subject
Has Abstractpub_date
1999-10-01 00:00:00pages
1595-619issue
7eissn
0899-7667issn
1530-888Xjournal_volume
11pub_type
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