ModelDB: Paper information

Gschwend O et al. (2015). Neuronal pattern separation in the olfactory bulb improves odor discrimination learning. Nature neuroscience. 18 [PubMed]

See more from authors: Gschwend O · Abraham NM · Lagier S · Begnaud F · Rodriguez I · Carleton A

References and models cited by this paper

References and models that cite this paper

Adams W, Graham JN, Han X, Riecke H. (2019). Top-down inputs drive neuronal network rewiring and context-enhanced sensory processing in olfaction. PLoS computational biology. 15 [PubMed]

Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018) [Model]

Cavarretta F, Marasco A, Hines ML, Shepherd GM, Migliore M. (2016). Glomerular and Mitral-Granule Cell Microcircuits Coordinate Temporal and Spatial Information Processing in the Olfactory Bulb. Frontiers in computational neuroscience. 10 [PubMed]

Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018) [Model]

Cayco-Gajic NA, Clopath C, Silver RA. (2017). Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nature communications. 8 [PubMed]

Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017) [Model]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.