Imaging a Population Code for Odor Identity in the Drosophila Mushroom Body

By Robert A. A. Campbell, Kyle S. Honegger, H. Qin, Wanhe Li, Ebru Demir, Glenn C. Turner. 2013

136 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics

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Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “More recent work has taken advantage of genetically encoded calcium indicators to image populations of Kenyon cells during an olfactory learning task, verifying that the ability of flies to generalise aversive associations to novel odours depends on the level of overlap between the odour-evoked Keny”
Coordinated and Compartmentalized Neuromodulation Shapes Sensory Processing in Drosophila (2015, positive): “In the mushroom body, odors are encoded as sparse ensembles of activated Kenyon cells (KCs) (Campbell et al., 2013), each of which integrates input from diverse combinations of olfactory glomeruli in the calyx (Caron et al., 2013; Gruntman and Turner, 2013).”
The neuronal architecture of the mushroom body provides a logic for associative learning (2014, background): “Odors activate sparse subpopulations of KCs distributed across the MB without spatial preference (Turner et al., 2008; Honegger et al., 2011; Campbell et al., 2013).”
Dopamine Neurons Mediate Learning and Forgetting through Bidirectional Modulation of a Memory Trace (2018, unknown): “Within the MB, odors activate sparse and unique sets of mushroom body neurons (MBn) from an array of ~2000 in each hemisphere that, in turn, provide synaptic input to the dendrites of multiple mushroom body output neurons (MBOn) from discrete axonal compartments arranged as distinct segments across ”
Heterosynaptic plasticity underlies aversive olfactory learning in Drosophila (2015, unknown): “Calcium Imaging In vivo two-photon calcium imaging was performed as described previously (Campbell et al., 2013; Honegger et al., 2011).”
The Drosophila Mushroom Body: From Architecture to Algorithm in a Learning Circuit. (2020, background): “In fact, the accuracy of memory formation can be predicted by the degree of overlap between KC response patterns, even very near the flies’ psychophysical limit of odor discrimination (Campbell et al. 2013).”
Distinct dopamine receptor pathways underlie the temporal sensitivity of associative learning (2019, background): “In the mushroom body, odor identity is encoded by the activity of sparse ensembles of Kenyon cells (KCs) (Campbell et al., 2013; Turner et al., 2008) whose parallel axons bundle together to form output lobes.”
A connectome of a learning and memory center in the adult Drosophila brain (2017, background): “However, the fraction of KCs that are active at any one time is limited by sparse coding and has been estimated to be ~6% (Campbell et al., 2013; Turner et al., 2008).”
Reward signal in a recurrent circuit drives appetitive long-term memory formation (2015, unknown): “The MB represents odors using a sparse subset of ∼2000 intrinsic neurons, Kenyon cells (KCs) (Turner et al., 2008; Aso et al., 2009; Honegger et al., 2011; Campbell et al., 2013).”
Pain-relief learning in flies, rats, and man: basic research and applied perspectives (2014, background): “Other, nontrained odors support conditioned avoidance only to the extent that they are similar in quality (Niewalda et al. 2011; Campbell et al. 2013; Barth et al. 2014) and/or intensity (Yarali et al. 2009a) to the actually trained odor.”