Do you know that your brain rewires itself all the time when you learn new things? And have you ever find yourself asking the question: “What exactly is going on in our brains when we try to learn something?” If truth be told, I ask myself this very question every…

In the last story, I have talked about one of the most important breakthroughs in computer vision, the Convolutional Neural Networks (CNN). Today, CNNs are widely implemented into systems that require the processing of visual and spatial information and can be viewed as image features extractors and universal non-linear function…

How the animal visual cortex inspires deep learning architectures — Now that I have introduced Marr’s representational framework for vision and Palmer’s model of visual perception, we can now move onto one of the most fascinating biologically-inspired deep learning algorithm known as the Convolutional Neural Network(ConvNet/CNN). But before knowing what is up with this complicated CNN, I will first introduce…

Important Findings that Inspire the Field of Computer Vision — “When scientists back in the 1950s met to talk about artificial intelligence, they thought that teaching a computer to play chess would be very difficult, but teaching a computer to see would be easy,” David Knill, professor of brain and cognitive sciences. The Building Blocks of Computer Vision What distinguished computer vision from the already existing…

A brief on our visual system and its promising contribution to the future study of artificial visual perception — So it’s been a very big while since I last updated my blog and ittook me a big while to finally decide what my main research interest is going to be. Artificial Intelligence is a very broad field and can be studied from many approaches — the computational neuroscience or…