Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Computational Neuroscience
A Temporal Computational Model for Object Recognition inspired by Human Visual System

Naser Sadeghnejad; Mehdi Ezoji; Reza Ebrahimpour

Volume 14, Issue 1 , May 2020, , Pages 69-79

  Object recognition is one of the main cognitive abilities of human and animals. Human visual system, as a fast and accurate system can be a source of inspiration for the computational models of object recognition. Studies on the human visual system have emphasized its processing over time, whereas it ...  Read More

Feature Extraction for Object Recognition Inspired by Human Visual System

Hiwa Sufikarimi; Karim Mohammadi

Volume 11, Issue 4 , February 2018, , Pages 337-349

  In this paper, we tried to present a robust and reliable approach to object recognition by inspiring human visual system. A famous model, inspiring mammalian visual system, is HMAX (Hierarchical Model and X). It shows significant accuracy rates on object recognition tasks. However, there are some differences ...  Read More

Biological Computer Modeling / Biological Computer Simulation
Optimal Feature Selection in Biologically Inspired Model for Object Recognition Using Mutual Information Maximisation

Mohammad Jazlaeiyan; Hadi Shahriar Shahhoseini

Volume 8, Issue 4 , February 2015, , Pages 371-383

  Human visual system operates superior than best machine vision systems in object recognition. So, researchers in machine vision and neuroscience try to model human visual system in order to employ it in machine. HMAX is one of the best operating models in this area. It is based on the function of brain ...  Read More