@article{FalibeneRocesRoessler2015,
  author    = {Falibene, Augustina and Roces, Flavio and R{\"o}ssler, Wolfgang},
  title     = {Long-term avoidance memory formation is associated with a transient increase in mushroom body synaptic complexes in leaf-cutting ants},
  series = {Frontiers in Behavioural Neuroscience},
  volume    = {9},
  journal   = {Frontiers in Behavioural Neuroscience},
  number    = {84},
  doi       = {10.3389/fnbeh.2015.00084},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-148763},
  year      = {2015},
  abstract  = {Long-term behavioral changes related to learning and experience have been shown to be associated with structural remodeling in the brain. Leaf-cutting ants learn to avoid previously preferred plants after they have proved harmful for their symbiotic fungus, a process that involves long-term olfactory memory. We studied the dynamics of brain microarchitectural changes after long-term olfactory memory formation following avoidance learning in Acromyrmex ambiguus. After performing experiments to control for possible neuronal changes related to age and body size, we quantified synaptic complexes (microglomeruli, MG) in olfactory regions of the mushroom bodies (MB) at different times after learning. Long-term avoidance memory formation was associated with a transient change in MG densities. Two days after learning, MG density was higher than before learning. At days 4 and 15 after learning when ants still showed plant avoidance MG densities had decreased to the initial state. The structural reorganization of MG triggered by long-term avoidance memory formation clearly differed from changes promoted by pure exposure to and collection of novel plants with distinct odors. Sensory exposure by the simultaneous collection of several, instead of one, non-harmful plant species resulted in a decrease in MG densities in the olfactory lip. We hypothesize that while sensory exposure leads to MG pruning in the MB olfactory lip, the formation of long-term avoidance memory involves an initial growth of new MG followed by subsequent pruning.},
  language  = {en}
}
@article{FalibeneRocesRoessler2015,
  author    = {Falibene, Agustina and Roces, Flavio and R{\"o}ssler, Wolfgang},
  title     = {Long-term avoidance memory formation is associated with a transient increase in mushroom body synaptic complexes in leaf-cutting ants},
  series = {Frontiers in Behavioral Neuroscience},
  volume    = {9},
  journal   = {Frontiers in Behavioral Neuroscience},
  number    = {84},
  doi       = {10.3389/fnbeh.2015.00084},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-125522},
  year      = {2015},
  abstract  = {Long-term behavioral changes related to learning and experience have been shown to be associated with structural remodeling in the brain. Leaf-cutting ants learn to avoid previously preferred plants after they have proved harmful for their symbiotic fungus, a process that involves long-term olfactory memory. We studied the dynamics of brain microarchitectural changes after long-term olfactory memory formation following avoidance learning in Acromyrmex ambiguus. After performing experiments to control for possible neuronal changes related to age and body size, we quantified synaptic complexes (microglomeruli, MG) in olfactory regions of the mushroom bodies (MBs) at different times after learning. Long-term avoidance memory formation was associated with a transient change in MG densities. Two days after learning, MG density was higher than before learning. At days 4 and 15 after learning—when ants still showed plant avoidance—MG densities had decreased to the initial state. The structural reorganization of MG triggered by long-term avoidance memory formation clearly differed from changes promoted by pure exposure to and collection of novel plants with distinct odors. Sensory exposure by the simultaneous collection of several, instead of one, non-harmful plant species resulted in a decrease in MG densities in the olfactory lip. We hypothesize that while sensory exposure leads to MG pruning in the MB olfactory lip, the formation of long-term avoidance memory involves an initial growth of new MG followed by subsequent pruning.},
  language  = {en}
}
@article{BrillMeyerRoessler2015,
  author    = {Brill, Martin F. and Meyer, Anneke and Roessler, Wolfgang},
  title     = {It takes two—coincidence coding within the dual olfactory pathway of the honeybee},
  series = {Frontiers in Physiology},
  volume    = {6},
  journal   = {Frontiers in Physiology},
  number    = {208},
  doi       = {10.3389/fphys.2015.00208},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-126179},
  year      = {2015},
  abstract  = {To rapidly process biologically relevant stimuli, sensory systems have developed a broad variety of coding mechanisms like parallel processing and coincidence detection. Parallel processing (e.g., in the visual system), increases both computational capacity and processing speed by simultaneously coding different aspects of the same stimulus. Coincidence detection is an efficient way to integrate information from different sources. Coincidence has been shown to promote associative learning and memory or stimulus feature detection (e.g., in auditory delay lines). Within the dual olfactory pathway of the honeybee both of these mechanisms might be implemented by uniglomerular projection neurons (PNs) that transfer information from the primary olfactory centers, the antennal lobe (AL), to a multimodal integration center, the mushroom body (MB). PNs from anatomically distinct tracts respond to the same stimulus space, but have different physiological properties, characteristics that are prerequisites for parallel processing of different stimulus aspects. However, the PN pathways also display mirror-imaged like anatomical trajectories that resemble neuronal coincidence detectors as known from auditory delay lines. To investigate temporal processing of olfactory information, we recorded PN odor responses simultaneously from both tracts and measured coincident activity of PNs within and between tracts. Our results show that coincidence levels are different within each of the two tracts. Coincidence also occurs between tracts, but to a minor extent compared to coincidence within tracts. Taken together our findings support the relevance of spike timing in coding of olfactory information (temporal code).},
  language  = {en}
}