Do neural models scale up to a human brain?
Conference paper
Belavkin, R. 2007. Do neural models scale up to a human brain? International Joint Conference on Neural Networks (IJCNN 2007). Orlando, Florida 12 - 17 Aug 2007 IEEE. pp. 2312-2317 https://doi.org/10.1109/IJCNN.2007.4371319
Type | Conference paper |
---|---|
Title | Do neural models scale up to a human brain? |
Authors | Belavkin, R. |
Abstract | Models of cognition generally operate either at a micro or a macro level. It is not clear, however, if the micro models can predict the macroscopic properties of biological neural systems, such as the human brain. Here, I evaluate some hypotheses about the main functions of neural processing by scaling them to higher levels. Using neurobiological literature, I estimate the numbers of inputs and outputs of the entire nervous system. Then, I apply optimal control and information theories to predict the numbers of neurons required to implement these functions. The addition of constraints on connectivity leads to numerical estimates comparable to the numbers of neurons and synapses in human brain. |
Research Group | Artificial Intelligence group |
Conference | International Joint Conference on Neural Networks (IJCNN 2007) |
Page range | 2312-2317 |
Proceedings Title | 2007 International Joint Conference on Neural Networks |
Series | IEEE International Joint Conference on Neural Networks (IJCNN) |
ISSN | 2161-4393 |
Electronic | 2161-4407 |
ISBN | |
Hardcover | 9781424413799 |
Electronic | 9781424413805 |
Publisher | IEEE |
Publication dates | |
Aug 2007 | |
Online | 29 Oct 2007 |
Publication process dates | |
Deposited | 24 Mar 2010 |
Output status | Published |
Web address (URL) | http://www.eis.mdx.ac.uk/staffpages/rvb/publications/rvb-ijcnn07-talk.pdf |
Digital Object Identifier (DOI) | https://doi.org/10.1109/IJCNN.2007.4371319 |
Scopus EID | 2-s2.0-51749116282 |
Web of Science identifier | WOS:000254291102040 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/4370890/proceeding |
Related Output | |
Has metadata | http://www.scopus.com/inward/record.url?eid=2-s2.0-51749116282&partnerID=MN8TOARS |
Language | English |
https://repository.mdx.ac.uk/item/82075
30
total views0
total downloads0
views this month0
downloads this month