Emergence of spontaneous assembly activity in developing neural networks without afferent input

PLoS Computational Biology
Marcus A TriplettGeoffrey J Goodhill


Spontaneous activity is a fundamental characteristic of the developing nervous system. Intriguingly, it often takes the form of multiple structured assemblies of neurons. Such assemblies can form even in the absence of afferent input, for instance in the zebrafish optic tectum after bilateral enucleation early in life. While the development of neural assemblies based on structured afferent input has been theoretically well-studied, it is less clear how they could arise in systems without afferent input. Here we show that a recurrent network of binary threshold neurons with initially random weights can form neural assemblies based on a simple Hebbian learning rule. Over development the network becomes increasingly modular while being driven by initially unstructured spontaneous activity, leading to the emergence of neural assemblies. Surprisingly, the set of neurons making up each assembly then continues to evolve, despite the number of assemblies remaining roughly constant. In the mature network assembly activity builds over several timesteps before the activation of the full assembly, as recently observed in calcium-imaging experiments. Our results show that Hebbian learning is sufficient to explain the emergence of highly str...Continue Reading


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Oct 20, 1977·Journal of Mathematical Biology·T J Sejnowski
May 15, 2004·Cerebral Cortex·Eugene M IzhikevichGerald M Edelman
Jun 4, 2004·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·John M Beggs, Dietmar Plenz
Jun 11, 2004·Journal of Neurophysiology·Miguel A Carreira-Perpiñán, Geoffrey J Goodhill
Apr 30, 2005·Nature Reviews. Neuroscience·Kenneth D Harris
Jul 12, 2005·Proceedings of the National Academy of Sciences of the United States of America·Pak-Ming Lau, Guo-Qiang Bi
Nov 2, 2005·Nature Reviews. Neuroscience·Takao K Hensch
May 26, 2006·Proceedings of the National Academy of Sciences of the United States of America·M E J Newman
Apr 21, 2007·Neural Computation·Abigail MorrisonMarkus Diesmann
Nov 13, 2008·Cognitive Neurodynamics·Hoi Fei KwokCees van Leeuwen
Mar 20, 2009·Journal of Neurophysiology·Guy Billings, Mark C W van Rossum
Aug 4, 2009·Current Opinion in Neurobiology·Dario L Ringach
Apr 7, 2010·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Christian Meisel, Thilo Gross
Jan 1, 2010·Frontiers in Synaptic Neuroscience·Daniel A Butts, Patrick O Kanold
Mar 26, 2011·Neuron·Elodie Fino, Rafael Yuste
Nov 24, 2011·Nature Reviews. Neuroscience·Matteo Carandini, David J Heeger
Jan 24, 2012·Current Biology : CB·Friederike SiegelChristian Lohmann
Sep 25, 2012·Nature Neuroscience·Ashok Litwin-Kumar, Brent Doiron
Jan 10, 2013·PLoS Computational Biology·Pengsheng ZhengJochen Triesch
Feb 12, 2013·Nature Neuroscience·Yaniv ZivMark J Schnitzer
Apr 5, 2013·Nature·Ho KoThomas D Mrsic-Flogel
May 4, 2013·Journal of Neuroscience Methods·Vítor Lopes-dos-SantosAdriano B L Tort
Jul 23, 2013·Nature·Tsai-Wen ChenDouglas S Kim
Nov 10, 2013·PLoS Computational Biology·Pierre Yger, Kenneth D Harris
May 16, 2014·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Xiao ZhangM E J Newman
Sep 10, 2014·Proceedings of the National Academy of Sciences of the United States of America·Jae-Eun Kang MillerRafael Yuste
Nov 15, 2014·Nature Communications·Ashok Litwin-Kumar, Brent Doiron
Dec 11, 2014·Developmental Neurobiology·Elizabeth M KitaGeoffrey J Goodhill
Apr 10, 2015·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Manuel S SchroeterEdward T Bullmore
Jun 13, 2015·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Luis Carrillo-ReidRafael Yuste
Jun 20, 2015·PLoS Computational Biology·Sadra SadehStefan Rotter
Jul 16, 2015·PLoS Computational Biology·Michael T SchaubMauricio Barahona
Jun 20, 2016·Current Opinion in Neurobiology·Paul Miller
Nov 1, 2016·Nature Communications·Thomas MiconiGerald M Edelman

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