Aditya Malik, Nalini Ratha, et al.
CAI 2024
We study a neuron functional form (which we call the absolute value neuron) that arises naturally in analog devices in which the neuron synapses are realized using coherent oscillatory wave signals. We discuss algorithmic aspects of this neuron at both the single neuron and network level, including computational capabilities, generalization, and training. A numerical study of absolute value neural networks on two data sets is presented, which demonstrates performance competitive with standard neural networks. © 1996 IEEE.
Aditya Malik, Nalini Ratha, et al.
CAI 2024
Rei Odaira, Jose G. Castanos, et al.
IISWC 2013
Segev Shlomov, Avi Yaeli
CHI 2024
Freddy Lécué, Jeff Z. Pan
IJCAI 2013