Neural - Quiz No.1

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    Arthur C. Aguilar Artificial Neural Networks

    Quiz no. 1

    1. Enumerate the 3 main components of a biological neuron and discuss howthis works (give the interrelationship).

    ans. The three main components of a biological neuron are as follows:a. Dendritesb. omac. A!on

    Neurons are highly specialized for the processing and transmission of cellular signals. Given the

    diversity of functions performed by neurons in different parts of the nervous system, there is, as

    expected, a wide variety in the shape, size, and electrochemical properties of neurons.

    The dendrites of a neuron are cellular extensions with many branches, and metaphorically this

    overall shape and structure is referred to as a dendritic tree. This is where the majority of input to

    the neuron occurs. The soma is the central part of the neuron, he axon carries nerve

    signals away from the soma (and also carries some types of information bac to it!. "any

    neurons have only one axon, but this axon may#and usually will#undergo extensive branching,

    enabling communication with many target cells. The part of the axon where it emerges from the

    soma is called the axon hilloc.

    2. What is a threshold neuron? Give its advantages and limitations.

    ans. Threshold in a neuron is the point of depolarization at which the neuron fires, transmitting

    information to another neuron. $sychologists use the concept of action potential threshold to

    explain how neurons send information to each other. % neuron transmits information via electric

    impulses sent through its axon. &hen a neuron is inactive, more positively charged ions lie

    outside the axon membrane than within it. 'pon stimulation, the axon membrane admits more

    sodium ions, rendering the neuron more positively charged. &hen the neuron reaches a certain

    point of depolarization nown as the action potential threshold, it will fire if it does not reach that

    point, it will not fire. The action potential of a neuron is always the same.

    ). *valuate a +adamard&alsh Transform (*-uation! on a /nput 01 2unction.

    "# "$ "1 f%&

    ' ' ' ' (1

    ' ' 1 1 1

    ' 1 ' 1 1

    ' 1 1 1 1

    1 ' ' 1 1

    1 ' 1 1 1

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    ans. clear all

    x = input(nter t!e num"er o# ro$s%);

    y = input(nter t!e num"er o# columns%);

    d = &eros(x,y);

    d(1,1) = 1;

    d(1,y) = 1;

    d(x,y) = 1;

    d(y,1) = 1;

    d