2022
Structural spine plasticity: Learning and forgetting of odor-specific subnetworks in the olfactory bulb
Abstract: Learning to discriminate between different sensory stimuli is essential for survival. In rodents, the olfactory bulb, which contributes to odor discrimination via pattern separation, exhibits extensive structural synaptic plasticity involving the formation and removal of synaptic spines, even in adult animals. The network connectivity resulting from this plasticity is still poorly understood. To gain insight into this connectivity we present here a computational model for the structural plasticity of the recip…
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Cited by 7 publications
(7 citation statements)
References 63 publications
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“…However, at that point they can re-acquire that memory faster than they had learned it initially Sultan et al (2010 ). This is consistent with the relevant synaptic connections being lost, reflecting the strong spontaneous formation and removal of GC spines Sailor et al (2016); Meng and Riecke (2022 ), while the relevant GCs are still present and provide - through their stable dendrites Mizrahi (2007); Sailor et al (2016 ) - a latent memory that can quickly be reactivated by reforming the relevant synapses. While experiments have shown that cortical feedback and neuromodulation in response to different environmental or behavioral states may provide an apoptotic signal Yokoyama et al (2011); Komano-Inoue et al (2014 ), what precisely controls the survival of GCs is not quite clear.…”
Section: Discussionsupporting
confidence: 73%
“…However, at that point they can re-acquire that memory faster than they had learned it initially Sultan et al (2010 ). This is consistent with the relevant synaptic connections being lost, reflecting the strong spontaneous formation and removal of GC spines Sailor et al (2016); Meng and Riecke (2022 ), while the relevant GCs are still present and provide - through their stable dendrites Mizrahi (2007); Sailor et al (2016 ) - a latent memory that can quickly be reactivated by reforming the relevant synapses. While experiments have shown that cortical feedback and neuromodulation in response to different environmental or behavioral states may provide an apoptotic signal Yokoyama et al (2011); Komano-Inoue et al (2014 ), what precisely controls the survival of GCs is not quite clear.…”
Section: Discussionsupporting
confidence: 73%
“…However, at that point, they can re-acquire that memory faster than they had learned it initially ( Sultan et al, 2010 ). This is consistent with the relevant synaptic connections being lost, reflecting the strong spontaneous formation and removal of GC spines ( Sailor et al, 2016 ; Meng and Riecke, 2022 ), while the relevant GCs are still present and provide - through their stable dendrites ( Mizrahi, 2007 ; Sailor et al, 2016 ) - a latent memory that can quickly be reactivated by reforming the relevant synapses.…”
Section: Discussionsupporting
confidence: 71%
“…Experiments have demonstrated that adult neurogenesis is necessary for this learning ( Moreno et al, 2009 ; Li et al, 2018 ), and computational modeling provides some understanding of the underlying mechanisms ( Chow et al, 2012 ; Adams et al, 2019 ; Shani-Narkiss et al, 2020 ; Kersen et al, 2022 ). However, these behavioral observations could also be explained by synaptic plasticity alone ( Sailor et al, 2016 ; Meng and Riecke, 2022 ). What, then, is the purpose of adding large numbers of new neurons?…”
Section: Introductionmentioning
confidence: 99%
“…where A and B denote two different stimulus conditions. With this formulation, the Fisher information can be interpreted as the discriminability of an optimal linear decoder [40].…”
Section: Discussionmentioning
confidence: 99%
“…Discriminability is quantified using a form of the Fisher information metric [14], specifically the squared d-prime, summed across neurons:
where A and B denote two different stimulus conditions. With this formulation, the Fisher information can be interpreted as the discriminability of an optimal linear decoder [40].…”
Section: Methodsmentioning
confidence: 99%
