Oscillations and Sparsening of Odor Representations in the Mushroom Body

By J. Pérez-Orive, Ofer Mazor, Glenn C. Turner, S. Cassenaer, Rachel I. Wilson, Gilles Laurent. 2002

831 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Sensory Systems

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Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, positive): “Upon odour stimulation, locust projection neurons form transiently synchronized ensembles, creating short integration windows for Kenyon cells and causing them to act as coincidence detectors (Perez-Orive et al., 2002; Gupta et al., 2016).”
Dopaminergic neurons write and update memories with cell-type-specific rules (2016, background): “Odor identity is represented by a pattern of sparse activity in the ~2000 Kenyon cells (KCs) (Laurent and Naraghi, 1994; Perez-Orive et al., 2002), whose parallel axons form the lobes of the MB.”
Mushroom body output neurons encode valence and guide memory-based action selection in Drosophila (2014, background): “…not stereotyped (Figure 1A) (Murthy et al., 2008; Caron et al., 2013); that is, individual flies show distinct wiring patterns between projection neurons and KCs. Sparse activity of the KCs represents the identity of odors (Laurent and Naraghi, 1994; Perez-Orive et al., 2002; Turner et al., 2008).”
The neuronal architecture of the mushroom body provides a logic for associative learning (2014, background): “…the lack of structure in the input to the KCs, the small number of inputs, and the sparseness of their activity all appear to be tuned to maximize this dimension (Perez-Orive et al., 2002; Huerta et al., 2004; Caron et al., 2013; Gruntman and Turner, 2013) (Ann Kennedy, Columbia University Thesis).”
Olfactory representations by Drosophila mushroom body neurons. (2008, methodology): “These values are similar to those measured using tetrode recordings in the locust olfactory system where, using the same definition of a response, 11% of KCs and 64% of PNs responded to a given odor (Perez-Orive et al. 2002).”
Oscillatory integration windows in neurons (2016, background): “Unexpectedly, R2(f) R1(f) showed a strong phase preference: summation was significantly more effective when the second pulse occurred in the first (rising) half of the oscillation cycle (t(10)1⁄4 3.”
Organization of antennal lobe‐associated neurons in adult Drosophila melanogaster brain (2012, background): “As shown in the locust brain, where such neurons can send a feed-forward inhibition signal from the LH to the MB calyx (Perez-Orive et al., 2002), olfactory processing functions of the MB calyx and LH are not completely independent but interact with each other in spite of the different…”
Functional analysis of a higher olfactory center, the lateral horn (2012, methodology): “In sharp contrast to the sparse spiking observed in KCs, which are targets of the PNs in the MB (Perez-Orive et al., 2002; Stopfer et al., 2003; Ito et al., 2008; Turner et al., 2008; Honegger et al., 2011), LHNs typically fired spontaneously and showed strong responses to odors (Fig.”
Dynamical principles in neuroscience (2006, methodology): “…code of sequences of transiently synchronized groups of projection neurons in the antennal lobe Laurent et al., 2001 is sliced into temporal snapshots of activity by feedforward inhibition and coincidence detection in the next processing layer, the mushroom body Perez-Orive et al., 2002 .”
Encoding of mixtures in a simple olfactory system. (2013, positive): “Because PNs respond very promiscuously to odors (Perez-Orive et al., 2002), no effort was made to find PNs that responded to our stimuli.”
Imaging a Population Code for Odor Identity in the Drosophila Mushroom Body (2013, background): “Physiological recordings have shown that individual KCs exhibit highly odor-selective responses (Perez-Orive et al., 2002; Turner et al., 2008) and that odors induce sparse activation of the KC population (Wang et al., 2004; Honegger et al., 2011).”
A Simple Connectivity Scheme for Sparse Coding in an Olfactory System (2007, background): “…vector and (2) so that these KCs will safely pass firing threshold, exploiting both a small surplus of excitation from a smaller set of less reliable PNs in that integration cycle (Mazor and Laurent, 2005), and nonlinear summation (Laurent and Naraghi, 1994; Perez-Orive et al., 2002, 2004).”
Encoding and decoding of overlapping odor sequences. (2006, neutral): “Neuron 476 The relevance of this time scale in locust is determined by the integrative properties of Kenyon cells, the PNs’ targets in the mushroom bodies (Laurent and Naraghi, 1994; Perez-Orive et al., 2002).”
Origins of Cell-Type-Specific Olfactory Processing in the Drosophila Mushroom Body Circuit. (2017, positive): “In the locust KCs (Perez-Orive et al., 2002) and the rodent piriform cortex neurons where odors are encoded sparsely (Poo and Isaacson, 2009), excitatory input is similarly followed by global inhibition found in most cells.”
Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma (2021, background): “This includes a wide range of sensory networks (Perez-Orive et al., 2002; Hahnloser et al., 2002; Crochet et al., 2011; Quiroga et al., 2005) as well as areas in the hippocampus (Wixted et al.”