no code implementations • 24 Aug 2023 • Masoud Rahimi, Hadi Moradi, Abdol-Hossein Vahabie, Hamed Kebriaei
In this paper, we propose a continuous RL-based DDA methodology for a visual working memory (VWM) game to handle the complex search space for the difficulty of memorization.
no code implementations • 8 Dec 2022 • Shahriar Rezghi Shirsavar, Abdol-Hossein Vahabie, Mohammad-Reza A. Dehaqani
Spiking neural networks (SNNs) have been around for a long time, and they have been investigated to understand the dynamics of the brain.
no code implementations • 29 Apr 2021 • Kaveh Akbarzadeh-Sherbaf, Mikaeel Bahmani, Danial Ghiaseddin, Saeed Safari, Abdol-Hossein Vahabie
Hamming weights of sparse and long binary vectors are important modules in many scientific applications, particularly in spiking neural networks that are of our interest.
no code implementations • 31 Mar 2020 • Saeed Masoudnia, Melika Kheirieh, Abdol-Hossein Vahabie, Babak Nadjar Araabi
In this paper, object-based attention in human visual cortex inspires us to introduce a mechanism for modification of activations in feature maps of CNNs.
no code implementations • 11 Mar 2019 • Saeed Masoudnia, Omid Mersa, Babak N. Araabi, Abdol-Hossein Vahabie, Mohammad Amin Sadeghi, Majid Nili Ahmadabadi
We conducted two sets of experiments based on two different protocols of OSV, i. e., writer-dependent and writer-independent on three signature datasets: GPDS-Synthetic, MCYT, and UT-SIG.