Inhibitory circuits in the olfactory bulb can amplify or suppress sensory inputs over a wide range of intensities to generate robust mitral cell output.
A spatially-tuned normalization model accounts for neuronal responses to attended or unattended stimuli that are presented inside the classical receptive field or the surround, and explains various other observations.
Spatial suppression during motion perception reflects reduced neural response magnitudes in visual areas but is not primarily driven by neural inhibition.
Computational and theoretical analyses offer novel and unexpected insight into how complex, naturally occurring odor mixtures are parsed and normalized at the very first stage of olfaction.
An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.
Delayed inhibition precisely balances excitation from arbitrary combinations of CA3 neurons and controls the gain of CA1 output by reducing inhibitory delay with increasing excitation.
A spiking network model that examines the transformation of odor information from olfactory bulb to piriform cortex demonstrates how intrinsic cortical circuitry preserves representations of odor identity across odorant concentrations.
CytofRUV is a computational algorithm that effectively enables batch effect reduction in multiple CyTOF batches with an adaptable normalisation method and an R-Shiny application with diagnostics plots.
