Shyam Srinivasan

Multi-timescale learning signals in Drosophila dopaminergic neurons

This study shows Drosophila dopaminergic neurons encode prediction errors, expected timing, and learning stabilization across multiple timescales during aversive conditioning.

Projection-specific Routing of Odor Information in the Olfactory Cortex

The paper investigates how odor information is routed through feedforward and feedback pathways in the mouse olfactory cortex, finding distinct temporal encoding and plasticity in neurons projecting to different targets.

Laws for Glia Organization Conserved Across Mammals

The paper examines glia organization across mammalian species and finds that glia volume density is conserved within brain regions but varies between regions and scales with brain size.

Stochastic coding: a conserved feature of odor representations and its implications for odor discrimination

The paper shows that stochastic coding in odor representations improves discrimination in both flies and mice by leveraging variability in inhibitory circuits.

Scaling principles of distributed circuits

The paper investigates the scalability of distributed circuits, finding the olfactory circuit meets three criteria of scalability across six mammals.

A quantitative description of the mouse piriform cortex

The paper provides volumetric estimates and neuronal density calculations for the mouse piriform cortex, showing it contains around half a million neurons equally distributed between anterior and posterior regions.