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Neuronal Synchrony in Complex-Valued Deep Networks
[article]
2014
arXiv
pre-print
Deep learning has recently led to great successes in tasks such as image recognition (e.g Krizhevsky et al., 2012). However, deep networks are still outmatched by the power and versatility of the brain, perhaps in part due to the richer neuronal computations available to cortical circuits. The challenge is to identify which neuronal mechanisms are relevant, and to find suitable abstractions to model them. Here, we show how aspects of spike timing, long hypothesized to play a crucial role in
arXiv:1312.6115v5
fatcat:ak4datu4wjcxvl5pxrjrcnlmai