Neural Net

Neural net is a brain neural network which is a biological network. This term may also refer to artificial neural net, which is a computer generated architecture neural network. It is the structure of our nervous system that communicates to the brain many complex patterns related to the storage of memories and processes functions of the body, body parts and consciousness.

A biological neural network (sometimes called a neural pathway) is a series of interconnected neurons whose activation defines a recognizable linear pathway through many connection points. The interface through which neurons interact with their neuron neighbors usually consists of several nerve axon terminals connected via nerve synapses to nerve dendrites and then on to other neurons. If the sum of the input signals into one neuron surpasses a certain threshold, the neuron sends an action potential (AP) at the axon hillock and transmits this electrical signal along the axon. The axon hillock is a specialized part of the cell body (or soma) of a neuron that connects to the axon.

In the brain, memories are recorded in structures that are represented by patterns of activation among the networks of neurons. However, how these representations are formed into patterns in the brain neural network, then retrieved and reach conscious awareness is not completely understood. Cognitive processes that characterize human intelligence are mainly ascribed to the emergent properties of complex dynamic characteristics in the complex systems that constitute neural networks. Therefore, the study and modeling of these networks have attracted broad interest under different paradigms and many different theories have been formulated to explain various aspects of their behavior. One of these — and the subject of several theories — is considered a special property of a neural network: the ability to learn complex patterns.

References

Found in HGS Manual on page 90