Energy-efficient population coding constrains network size of a neuronal array system

Scientific Reports
Lianchun YuYuguo Yu

Abstract

We consider the open issue of how the energy efficiency of the neural information transmission process, in a general neuronal array, constrains the network size, and how well this network size ensures the reliable transmission of neural information in a noisy environment. By direct mathematical analysis, we have obtained general solutions proving that there exists an optimal number of neurons in the network, where the average coding energy cost (defined as energy consumption divided by mutual information) per neuron passes through a global minimum for both subthreshold and superthreshold signals. With increases in background noise intensity, the optimal neuronal number decreases for subthreshold signals and increases for suprathreshold signals. The existence of an optimal number of neurons in an array network reveals a general rule for population coding that states that the neuronal number should be large enough to ensure reliable information transmission that is robust to the noisy environment but small enough to minimize energy cost.

References

Sep 26, 1986·Science·A P GeorgopoulosR E Kettner
Apr 1, 1996·Trends in Neurosciences·P KönigW Singer
Apr 1, 1996·Neural Computation·W B Levy, R A Baxter
Jan 23, 1989·Physical Review Letters·L GammaitoniS Santucci
Apr 9, 1999·Nature Neuroscience·S B LaughlinJ C Anderson
Oct 6, 2000·Physical Review Letters·N G Stocks
Dec 29, 2000·Nature Neuroscience·L F Abbott, S B Nelson
Oct 13, 2001·Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism·D Attwell, S B Laughlin
May 22, 2002·Neural Computation·Susanne SchreiberSimon B Laughlin
Sep 25, 2003·Proceedings of the National Academy of Sciences of the United States of America·Robert K Adair
Sep 27, 2003·Science·Simon B Laughlin, Terrence J Sejnowski
Jul 3, 2004·Neuroreport·Yuguo YuTai Sing Lee
Aug 25, 2004·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Shangyou Zeng, Peter Jung
Jun 10, 2005·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Gonzalo G de PolaviejaMikko Juusola
Feb 21, 2006·Physical Review Letters·Sentao WangFeng Liu
Jun 9, 2006·Nature Reviews. Neuroscience·Bruno B AverbeckAlexandre Pouget
Aug 7, 2007·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Mark D McDonnellDerek Abbott
May 21, 2008·The Journal of Experimental Biology·Jeremy E Niven, Simon B Laughlin
Jun 21, 2008·Behavioural Brain Research·Hitoshi SasakiRyozo Aoki
Dec 31, 2008·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Yong ChenShao-Meng Qin
May 12, 2009·Trends in Cognitive Sciences·Jason P Mitchell
Sep 12, 2009·Science·Henrik AlleJörg R P Geiger
Jan 22, 2010·PLoS Computational Biology·Nicolas TabareauQuang-Cuong Pham
May 18, 2010·Life Sciences·Kathryn A C GlaznerBenedict C Albensi
Jul 10, 2010·Proceedings of the National Academy of Sciences of the United States of America·Andrea HasenstaubTerrence J Sejnowski
Jul 10, 2010·PLoS Computational Biology·Biswa SenguptaJeremy E Niven
Aug 16, 2011·Journal of Mathematical Psychology·F Gregory Ashby, Sebastien Helie
Aug 27, 2011·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Simon DurrantJianfeng Feng
Apr 19, 2012·PLoS Computational Biology·Yuguo YuDavid A McCormick
Jun 20, 2013·Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism·Biswa SenguptaJeremy E Niven
Oct 8, 2013·PLoS Computational Biology·Biswa SenguptaJeremy E Niven
Jan 2, 2014·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·John E LewisMichael R Markham
Apr 16, 2014·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Lianchun Yu, Liwei Liu
Jun 16, 2015·Frontiers in Computational Neuroscience·Guo-Sheng YiBin Deng

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Citations

Jan 13, 2018·Journal of Computational Neuroscience·Yujiang LiuLianchun Yu
Feb 20, 2018·Frontiers in Neuroscience·Shanglin Zhou, Yuguo Yu
Aug 24, 2017·Journal of Neuroscience Research·Lianchun Yu, Yuguo Yu
Sep 28, 2017·Physical Review. E·Daqing GuoDezhong Yao
Nov 30, 2019·Frontiers in Neuroscience·Guosheng YiJiang Wang
Sep 26, 2020·Proceedings of the National Academy of Sciences of the United States of America·Xinxing WangShaoyu Ge
Jan 14, 2017·Physical Review. E·Sarah Marzen, Simon DeDeo
May 1, 2018·Frontiers in Physiology·Thanos ManosPeter A Tass
Feb 13, 2019·Frontiers in Physiology·Olivier WhiteNandu Goswami
Sep 19, 2017·Frontiers in Cellular Neuroscience·Guosheng YiBin Deng

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