Computing with Biophysical and Hardware-Efficient Neural Models

@inproceedings{Selyunin2017ComputingWB,
  title={Computing with Biophysical and Hardware-Efficient Neural Models},
  author={Konstantin Selyunin and Ramin M. Hasani and Denise Ratasich and Ezio Bartocci and Radu Grosu},
  booktitle={IWANN},
  year={2017}
}
In this paper we evaluate how the seminal, biophysical Hodgkin Huxley model, and the hardware-efficient TrueNorth model of spiking neurons can be used to perform computations on spike rates in frequency domain. This side-by-side evaluation allows us to draw conclusions on how fundamental arithmetic operations can be realized by means of spiking neurons, and… CONTINUE READING