Eddy Borera

2-  How the Visual Cortex Recognizes
    Objects: The Tale of the Standard Model
    by Maximillian Riesenhuber and Tomaso Poggio
  
  This paper is most likely about theories on how neurons operate to recognize objects.  The results of their experiments on animals (macaques and cats), show that neurons also have steps to recognizes things, and adapt to their unpredicted appearances views (rotated, darker,or brighter). Neurons are known to be very complex to understand, especially their functionalities, so would it be possible to mimic them for object recognition instead of just focusing on what steps they would operate?


Me
How the Visual Cortex Recognizes Objects: The Tale of the Standard Model

Questions:
                How do they get optical readings from monkeys?

	How does pooling by the maximum operation differ than the linear operation?

Summary:
	This paper discusses creating a model to mimic how a human processes visual images. The basis for this model is experiments performed on both humans and monkeys. The paper is very hard to understand most likely because it was written for biology students and not computer science students. To improve the paper they could simplify some of the language. Also I found their citation style to be incredibly distracting, changing it would have made the paper significantly easier to read. The paper did a good job of explaining their perception of the Standard Model as well as leaving the door open to change it as new research data emerges about how humans process data.



READ Mahdi_Moghadasi.txt again

Mark Holak

In How the Visual Cortex Recognizes Objects, can you make sense of any of the figures? They are difficult to understand and most of the images are so convoluted that you cannot see what the original image is.