122 citations · 124 across the 3 of their papers we have counts for
4 papers
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks
Fatemeh Sharifizadeh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini
The human visual system contains a hierarchical sequence of modules that take part in visual perception at superordinate, basic, and subordinate categorization levels. During the l…
Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks
Alireza Nadafian, Mohammad Ganjtabesh
The plasticity of the conduction delay between neurons plays a fundamental role in learning. However, the exact underlying mechanisms in the brain for this modulation is still an o…
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini +1
Application of deep convolutional spiking neural networks (SNNs) to artificial intelligence (AI) tasks has recently gained a lot of interest since SNNs are hardware-friendly and en…
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks
Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini +2
The primate visual system has inspired the development of deep artificial neural networks, which have revolutionized the computer vision domain. Yet these networks are much less en…