Literature Review On Biological Neural Network

3.The long tube-like structure that carries the neural message to other cells on the neuron is the axon.

The nervous system is made up of basic units called neurons. The main role of the neurons is to receive, integrate and transmit information throughout the body. There are some neuroglial cells found in nervous system aswell which provide support to the neurons by giving protection and nourishment Neurons have nerve processes that looks like finger like projections extended from the nerve cell body. They also contain axons and dendrites which enable them to transmit signals throughout the body. Normally, axon carry signals away from the cell body and dendrites carry signals toward the cell body according to Regina Bailey (2013). Neurons have three different shapes: bipolar, unipolar and multipolar where bipolar has two neuronal processes coming out of the cell body, unipolar has only one neuronal process coming out of the cell body and multipolar has many neuronal processes coming out of the cell body.

The objective of the neural network is to transform the input to meaningful output. Neural networks are often used for statistical analysis and data modeling. Neural network has many uses in data processing, robotics, and medical diagnosis [2]. From the starting of the neural network there are various types found, but each and every types has some advantages and disadvantages. Deep learning and -neural network software are the categories of artificial neural network. The parallel process also allows ANNs to process the large amount of data very efficiently. The artificial neural network is built with a systematic

Neurons are information- processing units in the central nervous system that receive and transmit information. It is made up of an axon, dendrites and a cell body. The nucleus and cytoplasm are contained in the cell body. The axon starts from the cell body, dividing into smaller branches and then ends at the nerve terminals. The dendrites also branch from the cell body, receiving information from the other neurons. Axons from other neurons forms

ReLu, tanh etc. Two of most important differences between RNN and feed forward neural networks are time ordered input and network parameter sharing. We can see

Within the nerve net of cnidarians you will find sensory neurons, motor neurons, and intermediate neurons. The intermediate neurons carry messages from the sensory neurons to the motor neurons, and some of these could possibly be organized into ganglia. In the body there are two layers of cells: nerve cells and body cells. The nerve cells help to coordinate the actions of some body cells that are within the net. For instance, if the body is touched, the whole body will react (Cnidarians).

To start with, what is neuron? Neuron is like many other body cells. However, it located in the brain also it has the core that transmit the informations from the brain to other body cells. It does an important job because when we move or do something, all the reactions come from the neuron that tells us what to do. Furthermore, limbic system is a part that located near the occipital lobe in our brain which is the part that control our emotions and behaviors.

Their principal function is to interpret and relay electrochemical signals throughout the nervous system. Like all cells, they possess a cell body called the soma. However, they distinguish themselves from other cells by their complex structures and shapes. Most neurons in the CNS are classified as multipolar (OpenStax College, 2013). This classification arises from their multiple dendrites and single

The individual cells within the brain, the neurons, release a whole array of chemical signals in communication with one

Convolutional Layers : assume the 2-D convolution layers refer figure-3 and pseudo code of convulotion layers. The input and output feature maps (loops i and n) and kernel (loops i and n) are represented by two different convolutional neural layer with respect to classifier layers. There are two types of reuse opportunity for input and out layers in Convolution layers. The

Nerve net – a connection of neurons that receive sensory information and send signals to other neurons that are involved in muscle movement.

In this above figure the physical parameter as input values.It shows the out put result.

In the present chapter the radius for a given resonant frequency of a centre feed circular microstrip patch antenna has been analysed using two layer neural network structures FFBP ANN model. The Levenberg – Marquardt training algorithm and the transfer function tansig have been used to implement the neural network model. The simulated values for training and testing the neural network model are obtained by analysing the circular microstrip patch antenna using CST Microwave Studio Software (CST-MWS). The results obtained using ANNs are compared with the simulation findings and found

plus. In it, every neuron gets some input, implements a scalar product and follows it