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What is Neurons

Imagination, Creativity, and Responsible Management in the Fourth Industrial Revolution
Are a functional unit of the nervous system and differ in appearance depending on their function and location that consist of three major components – a cell body (soma), an axon, and dendrites.
Published in Chapter:
On the Principles of Imagination and Creativity: Philosophy, Neuroscience, and the 4IR
Rajashree Chaurasia (Directorate of Training and Technical Education, India)
DOI: 10.4018/978-1-5225-9188-7.ch001
Abstract
Human beings are the only mammals to be able to utilize high-level cognitive functions to build knowledge, innovate, and communicate their complex ideas. Imagination, creativity, and innovation are interlinked in the sense that one leads to the other. This chapter details the concepts of imagery, imagination, and creativity and their inter-relationships in the first section. Next, the author discusses the historical perspectives of imagination pertaining to the accounts of famous philosophers and psychologists like Aristotle, Kant, Hume, Descartes, Sartre, Husserl, and Wittgenstein. Section 3 and 4 present the neuro-biological correlates of imagination and creativity, respectively. Brain regions, neuronal circuits, genetic basis, as well as the evolutionary perspective of imagination and creativity are elicited in these sections. Finally, creativity and innovation are explored as to how they will contribute to knowledge build-up and advances in science, engineering, and business in the fourth industrial revolution and the imagination age.
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Deep Learning Techniques for Prediction, Detection, and Segmentation of Brain Tumors
It is a cell and specialized to transmit information to the entire system.
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Automobile Fatal Accident and Insurance Claim Analysis Through Artificial Neural Network
Neurons are key components of ANN, which is responsible processing information by carrying the calculated value forward from input layer to output layer. Too few neurons in each layer could result in large errors or under-fitting, and too many neurons could result in overfitting.
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