70 citations · 165 across the 13 of their papers we have counts for
15 papers
Random active path model of deep neural networks with diluted binary synapses
Haiping Huang, Alireza Goudarzi
Deep learning has become a powerful and popular tool for a variety of machine learning tasks. However, it is challenging to understand the mechanism of deep learning from a theoret…
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…
Parasite Spreading in Spatial Ecological Multiplex Networks
Massimo Stella, Cecilia S. Andreazzi, Sanja Selakovic +2
Network ecology is a rising field of quantitative biology representing ecosystems as complex networks. A suitable example is parasite spreading: several parasites may be transmitte…
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…