What Is A Neural Network?

The proper functioning of the cells allow us to act, think, learn, remember and control complex behaviors. In order to understand how the brain performs these essential functions we must first understand the different components of the cells; such as the function of neurons and their supporting cells in the nervous system. The communication from neuron to neuron, the processes involved in the production of an action potential, how an action potential is conducted along a myelinated axon; and the process of synaptic transmission will be discussed and examined.

Neurons, nerve cells, have three basic parts: the cell body, dendrites, and axon. Neurons transmit signals to other nerve cells and throughout the body. They are simple components in the nervous system. The cell body includes the nucleus, which is the control center of the neuron. The dendrite branches off the cell body and receives information. The axon is attached to the cell body and sends information away from the cell body to other cells. When the axon goes through myelination, the axon part of the neuron becomes covered and insulated with fat cells, myelin sheath. This increases the speed and efficiency of information processing in the nervous system. Synapse are gaps between neurons, this is where connections between the axons and dendrites.

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

To send a message, a neuron will send a ripple of electrical energy down its axon. This ripple is called "action potential." The way it works is by changing the chemical makeup of the axon's negatively charged interior. Positively charged sodium ions move into the cell and negatively charged potassium ions move out, then the ions move to their original positions. This produces a wave of positively charged

Neural networks emulate the human brain’s neurons, which is a mesh-like network of interconnected processing components. This allows the system to process numerous pieces of information at the same time, and can learn to understand patterns within the processes, which it can use to solve related problems on its own. Examples include;

The cell body comprises of the nucleus and other organelles (Ward, 2010). The nucleus contains the genetic code, and this is involved with protein synthesis (He, 2013). The dendrites receive information from other neurons which are located in a close proximity (Kalat, 1995). The terminal of an axon compresses into a disc-shaped structure (Gross, 2010). This is where chemical signals also known as a neurotransmitter permit interaction amongst neurons, by means of a minute gap named a synapse (Martin, Carlson & Buskit, 2013). Both neurons which form the synapse are referred to as a presynaptic synapse (prior to the synapse) and postsynaptic (after the synapse), reflecting the direction of information flow (from axon to dendrite), (He, 2013).

As an action potential travels down the axon of the presynaptic neuron, the action potential reaches the axon terminal synaptic vesicles which migrate toward the synapse. They then release neurotransmitters into the synaptic cleft. The neurotransmitters travel through the synaptic cleft and bind to ligand-gated ion channels on the postsynaptic neuron membrane. The channels open and allow chemicals to enter the cell (i.e. sodium). Then positively charged sodium enters the cell and causes the cell to depolarize. The depolarization spreads down the axon and an action potential is generated. The process then starts over at the axon terminals.

Neurons are nerve cells that transmit nerve signals to and from the brain at up to 200 mph. The neuron consists of a cell body (or soma) with branching dendrites(signal receivers) and a projection called

Impulses will travel along the neuron pathways as the electrical charges move across each neural membrane. Ions that are moving across the membrane can cause the impulse to move along the nerve cells.

Once in the synapses, the impulses triggers the release of chemical messages called neurotransmitters; which then bind to receptors on the receiving cell as the transmission of the impulse repeated again. The message or impulse continues traveling from one neuron to the next throughout the body until it reaches its destination as it relays a signal. All of this activity happens in less than a split second and without conscious thought. At the end of this process, the brain has the task of interpreting the message and making the decision as to what to do with this new information. (Carlson, 2011.Pg.45-52)

The purpose of this paper is to bring to light a fresh new perspective of Artificial Intelligence or simply (AI). There have been numerous endeavours to make artificial intelligence which is inclusive of frontiers such as neural network, evolution theory, and so forth, not forgetting that a number of current issues have found solutions in the application of these concepts, the case still remains that each theory only covers a certain isolated aspect of human intelligence. To date, he gap that stands between a human being and an artificial intelligence agent still remains unabridged. In this paper an extrapolated version of artificial intelligence shall be discussed which will be augmented by emotions and the plausibility of inheriting a neural architecture from one generation to the next in a bid to make artificial intelligence to compare to the natural behaviour and intelligence of human

Neurons (also known as neurons, nerve cells and nerve fibers) are electrically excitable and the most important cells in the nervous system that functions to process and transmit information. Neurons have a large number of extensions called dendrites. They often look likes branches or spikes extending out from the cell body. It is primarily the surfaces of the dendrites that receive chemical messages from other neurons.

The concept of artificial intelligence was first labeled by a man named Alan Turing in 1950, he believed that the future would hold the possibility for man to communicate with computers and sustain a conversation (Atkinson, Solar 1). Although, we have reached the point where it is possible to hold a simple preprogrammed conversation with a computer and give them the ability to learn, there is still a long way to go in making computers fully artificially intelligent. Atkinson and Solar continue to describe some real world applications of artificial intelligence such as, “Data mining technologies, fraud detection, and industrial-strength optimization” (8). In these examples, forms of artificial intelligence like cognitive reasoning abilities are already being used making the demand for them higher.

Information conveyed by the synapses on the dendrites is processed and projected from the axon. The axon is extraordinary, it is specialized for signal conduction to the next neuron. Axons vary in length, the ones in your brain are relatively short in comparison to the axons that run from your spinal cord down to your foot (about a meter long).

In our brain daily functions, the neurons transmit messages from one and other in the form of neurotransmitters, a chemical reaction