Receptive field

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    of neurons would be required for humans to represent the vast variety of visual scenes encountered in a lifetime. Aware of this shortcoming, Hubel and Wiesel (1962,1965,1968) were cautious not refer to ‘feature detectors’ when examining the receptive fields of the mammalian visual cortex of live cats (Hubel & Wiesel, 1962) and monkeys (Hubel & Wiesel, 1968). Nonetheless, it is now widely accepted that Hubel and Wiesel’s theory of simple, complex and hyper-complex cells remains a form of the original

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    Department of Computer Science & Engineering Independent Study & Research Report On Face Recognition Submitted to Amity University Uttar Pradesh in partial fulfillment of the requirements for the award of the degree of Masters of Technology In Computer Science and Engineering By Aqsa Zafar A7600916005 Under the guidance of Ms. Vandana Dubey Sr. Lecturer AMITY UNIVERSITY UTTAR PRADESH NOIDA (U.P.) 2016 1 Chapter 1: Introduction 1.1 Background- The Report presents a hybrid neural network solution,

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    had the greatest number of receptive field. This didn’t surprise me because it makes sense to have a greater number of receptive fields in areas that are most predominantly used for touch. Something that did surprise me though was how few of receptive fields I had on my palm, back of my hand and on the top and bottom of my forearms. It makes sense that I’d have fewer receptive fields in this area because I don’t use this for touch usually but how few of receptive fields I had in these areas really

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    inhibitory regions, although both did produce responses. Stationary spots showed that the excitatory and inhibitory regions were aligned side by side within the central responsive area, flanked by antagonistic areas. Light stimulus covering the whole receptive field was practically ineffective in most units due to mutual antagonism between excitatory and inhibitory regions, shown in figure 1 (f). A vertical slit of light was projected, which only covered the excitatory areas and avoided all inhibitory

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    between two simultaneous sensory impulses. According to (Haggard et al. 2007), tactile discrimination depends on the size of the receptive fields located on the somatosensory neurons. However receptive fields for other types of sensations are located elsewhere. For vision we find that the receptive fields are located inside the visual cortex, and for hearing we find receptive fields in the auditory cortex. The ability for the body to discriminate two points depends on how well that area of the body is innervated

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    Hmax Model Paper

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    Final Project: Research about HMAX model Seok Hee Lee Abstract- In this paper, I investigated some of the models of computational neuroscience used in the face recognition field. The model to be discussed is HMAX model. The paper contains what HMAX model is, how it is derived in terms of biological background, and how it is being used for facial recognition. Also, I simulated the simplified version of the model in MATLAB. The simulation of the simplified version verified one cell in the highest hierarchy

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    in the human retina, a location in the visual field that correspond with the optic disk at the back of the eye, which does not receive visual input due to the lack of photoreceptors there. However, people do not perceive a “hole” in their visual field because the other eye and its corresponding region on the visual field that takes visual stimuli from the same area as the blind spot compensates for the lack of visual stimuli thus the lack of visual field representation there. Dilkes et al patch one

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    S. S. Stevens, who was considered the World’s first Professor of Psychophysics, proposed the Signal Detection Theory. The basic premise of this theory states that perception is not a matter of sensitivity, but considered in terms of the environment in which the event occurred. Two critical components of the Signal Detection Theory includes signal, which is considered as the desired “stimulus”, and noise, which is the undesired “stimulus”, or the events in the environment. Within a signal detection

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    different types of Aphasia that differ in various ways. First, Wernicke’s Aphasia is the inability to grasp the meaning of words and sentences that have been produced by another individual. This type of aphasia is also known as “fluent aphasia” or “receptive aphasia”. Wernicke patients’ speech may come across like a jumble of words or jargon, but it is very well articulated and they have no issue producing their own connected speech. If the patient is consecutively making errors, it is common for them

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    Bilingualism has been commonly used in scientific and common nomenclature to refer to the knowledge and/or use of two languages, though the specifics of the definition have been widely debated (e.g. Altarriba & Heredia, 2008; De Groot & Kroll, 1997; Grosjean, 2010). In fact, one half (Grosjean, 2010) to two-thirds (Walraff, 2000) of all people in the world have been estimated to routinely use more than one language in everyday communicative contexts. Given this global linguistic profile, it has

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