The readme file currently contains links to the results for all the 72 odors investigated in the paper, and the movie showing the network activity during learning of odor k3-3 (an aliphatic ketone).
Model Type: Realistic Network; Channel/Receptor; Dendrite
Region(s) or Organism(s): Olfactory bulb
Cell Type(s): Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron granule MC GABA cell
Receptors: NMDA; Glutamate; Gaba
Model Concept(s): Pattern Recognition; Activity Patterns; Bursting; Temporal Pattern Generation; Oscillations; Synchronization; Active Dendrites; Detailed Neuronal Models; Synaptic Plasticity; Action Potentials; Synaptic Integration; Unsupervised Learning; Olfaction
Simulation Environment: NEURON
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu]; Migliore, Michele [Michele.Migliore at Yale.edu]
References:
Yu Y et al. (2013). Sparse distributed representation of odors in a large-scale olfactory bulb circuit. PLoS computational biology 9 [PubMed]