Vivek Jayaraman

The paper presents the complete connectome of the Drosophila male central nervous system and compares it to the female connectome, identifying sex-specific and dimorphic neuronal types.

The paper develops an algorithm to transform symmetric attractor models into functionally equivalent heterogeneous models, showing hidden symmetries in fly connectomes support ring attractor dynamics.

The paper identifies a novel mechanism for coincidence detection at inhibitory synapses in the Drosophila head direction network involving octopamine-mediated feedback.

This study evaluates RubyACRs as red-shifted optogenetic inhibitors in Drosophila, showing they effectively hyperpolarize neurons and induce circuit-specific behavioral changes.

The paper shows that small neural networks with as few as 4 neurons can accurately integrate angular velocity for spatial navigation, challenging the need for large ring attractor networks.

This study investigates how flies balance exploration and exploitation during local search, finding that satiety drives a shift from exploiting to exploring, while optogenetic activation does not.

This paper describes a neural circuit framework in Drosophila that enables rapid behavioral adaptation through head direction and goal representations during navigation.

The paper identifies neurons in Drosophila that encode rotational velocity using motor and visual signals, updating the fly's neural compass through a mechanism that prioritizes motor information when signals are congruent.

This study identifies a neuronal population in Drosophila that integrates nutritional state and food patch density to regulate foraging decisions.

The paper shows that Drosophila maintains a stable head direction representation in naturalistic environments by tethering to global cues, even when local landmarks create potential conflicts.

The paper presents the first complete connectome of the Drosophila central complex, revealing network motifs that support flexible navigation and context-dependent action selection.

This study identifies the neural network structure of the Drosophila heading direction system, confirming it contains ring attractor components and revealing novel structural features.

The paper presents a detailed connectome of the adult Drosophila central brain, including new methods for data analysis and biological insights into neural circuit organization.

The paper describes engineering eFRET voltage indicators with positive-going fluorescence responses by modifying microbial rhodopsins.

iAChSnFR, a fluorescent indicator built from a bacterial periplasmic binding protein, reports acetylcholine with large, fast signals in mouse, fish, fly and worm preparations.

A dense electron-microscopy reconstruction of half the fly central brain, with nearly every cell typed and queryable online, turns months of tracing partners into a database lookup.

Structure-guided mutagenesis of GCaMP6 plus neuron-based screening yields a jGCaMP7 family, each variant tuned to a different regime: single spikes, neurites and neuropil, or population imaging.

The paper introduces improved red calcium indicators that match the sensitivity of GFP-based indicators, enabling better in vivo neural activity imaging.