Odorant recognition using biological responses recorded in olfactory bulb of rats

Hippocampal-Prefrontal θ Coupling Develops as Mice Become Proficient in Associative Odorant Discrimination Learning

“…We proceeded to determine whether we could decode contextual odorant identity from tPRP. Decoding was performed using a linear discriminant analysis (LDA) to set a decision boundary hyper-plane between binary stimulus classes (S+ versus S-) (Vizcay et al, 2015). LDA was trained with tPRP from each electrode for each mouse (8 electrodes in the hippocampus and 8 electrodes in the mPFC per mouse) for all trials except one (the training dataset) and then the tPRP from the missing trial (test data) was classified as S+ or S-.…”

Glomerular and Mitral-Granule Cell Microcircuits Coordinate Temporal and Spatial Information Processing in the Olfactory Bulb

“…It should be stressed that impulse firing of the mitral cell bodies represents the output from the glomerular unit to the olfactory cortex; its firing rate is often used for this purpose (Fantana et al, 2008 ). However, although firing rates can contain enough information to recognize an odor (Vizcay et al, 2015 ), during an odor presentation many mitral cells do not exhibit a significant rate change, with respect to the baseline, especially in awake mice (Gschwend et al, 2012 ). Another way in which information can be encoded is through the spike temporal distribution within a respiratory cycle (Gschwend et al, 2012 ).…”

A computational framework for temporal sharpening of stimulus input in the olfactory system

“…How the spike output of MCs is temporally refined with respect to sensory input remains largely unresolved, but it is postulated to result from both excitatory and inhibitory signaling from local neurons that also comprise the glomerular neuropil (Hayar et al 2004;Murphy et al 2005;Najac et al 2015). The mechanisms by which small groups of neurons permutate input arising from naturalistic stimuli is an important component of stimulus feature extraction (Vizcay et al 2015) and have broad applications to systems neuroscience.In a recent publication, Carey et al (2015) explored a series of model olfactory bulb glomerulus circuit configurations with respect to sensory input and temporal refinement of MC spike output. A major goal of this study was to better understand the cellular elements and mechanisms that transform incoming sensory signals within the earliest stages of the olfactory system.…”

“…How the spike output of MCs is temporally refined with respect to sensory input remains largely unresolved, but it is postulated to result from both excitatory and inhibitory signaling from local neurons that also comprise the glomerular neuropil (Hayar et al 2004;Murphy et al 2005;Najac et al 2015). The mechanisms by which small groups of neurons permutate input arising from naturalistic stimuli is an important component of stimulus feature extraction (Vizcay et al 2015) and have broad applications to systems neuroscience.…”