4 citations · 6 across the 4 of their papers we have counts for
5 papers
Memory and Information Processing in Recurrent Neural Networks
Alireza Goudarzi, Sarah Marzen, Peter Banda +3
Recurrent neural networks (RNN) are simple dynamical systems whose computational power has been attributed to their short-term memory. Short-term memory of RNNs has been previously…
Computational Capacity and Energy Consumption of Complex Resistive Switch Networks
Jens Burger, Alireza Goudarzi, Darko Stefanovic +1
Resistive switches are a class of emerging nanoelectronics devices that exhibit a wide variety of switching characteristics closely resembling behaviors of biological synapses. Ass…
Hierarchical Composition of Memristive Networks for Real-Time Computing
Jens Bürger, Alireza Goudarzi, Darko Stefanovic +1
Advances in materials science have led to physical instantiations of self-assembled networks of memristive devices and demonstrations of their computational capability through rese…
Exploring Transfer Function Nonlinearity in Echo State Networks
Alireza Goudarzi, Alireza Shabani, Darko Stefanovic
Supralinear and sublinear pre-synaptic and dendritic integration is considered to be responsible for nonlinear computation power of biological neurons, emphasizing the role of nonl…
Product Reservoir Computing: Time-Series Computation with Multiplicative Neurons
Alireza Goudarzi, Alireza Shabani, Darko Stefanovic
Echo state networks (ESN), a type of reservoir computing (RC) architecture, are efficient and accurate artificial neural systems for time series processing and learning. An ESN con…