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Spike-based symbolic computations on bit strings and numbers
[article]
2021
bioRxiv
pre-print
The brain uses recurrent spiking neural networks for higher cognitive functions such as symbolic computations, in particular, mathematical computations. We review the current state of research on spike-based symbolic computations of this type. In addition, we present new results which show that surprisingly small spiking neural networks can perform symbolic computations on bit sequences and numbers and even learn such computations using a biologically plausible learning rule. The resulting
doi:10.1101/2021.07.14.452347
fatcat:wy4aynhxrnavnc67higeo3dgqu