Abstract
A biological neural network is composed of a group of connected neurons. A single neuron may be connected to many other neurons and the total number of neurons and connections in a network may be significantly high. One of the amazing aspects of biological neural networks is that when the neurons are connected to each other, higher-level intelligence, which cannot be observed from a single neuron, emerges.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
E. R. Kandel, J. H. Schwartz, T. M. Jessell, S. Siegelbaum, and A. Hudspeth, Principles of neural science. McGraw-Hill New York, 2000, vol. 4.
G. M. Shepherd, Neurobiology. Oxford University Press, 1988.
J. G. Nicholls, A. R. Martin, B. G. Wallace, and P. A. Fuchs, From neuron to brain. Sinauer Associates Sunderland, MA, 2001, vol. 271.
D. H. Hubel and T. N. Wiesel, “Receptive fields of single neurones in the cat’s striate cortex,” The Journal of Physiology, vol. 148, no. 3, pp. 574–591, 1959.
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel, “Backpropagation applied to handwritten zip code recognition,” Neural Computation, vol. 1, no. 4, pp. 541–551, 1989.
M. Riesenhuber and T. Poggio, “Hierarchical models of object recognition in cortex,” Nature Neuroscience, vol. 2, no. 11, pp. 1019–1025, 1999.
R. Q. Quiroga, L. Reddy, G. Kreiman, C. Koch, and I. Fried, “Invariant visual representation by single neurons in the human brain,” Nature, vol. 435, no. 7045, pp. 1102–1107, 2005.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ye, J.C. (2022). Biological Neural Networks. In: Geometry of Deep Learning. Mathematics in Industry, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-16-6046-7_5
Download citation
DOI: https://doi.org/10.1007/978-981-16-6046-7_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6045-0
Online ISBN: 978-981-16-6046-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)