I am a neuroscientist, currently working at the Zhang Lab at Harvard University, Cambridge. Electrical and biochemical circuits work together in the brain to generate behavior. I am interested in understanding how information is represented and exchanged between these different substrates and hierarchical levels.
During my PhD at the National Centre for Biological Sciences (NCBS), Bengaluru, I worked on subthreshold neural computation and timing at the scale of individual neurons and biochemical networks.
At the neuronal level, we showed that a precise EI balance exists in the brain, where random presynaptic inputs are balanced at fast (\(\lt \tau_m\)) timescales. Moreover, precise EI balance in a feedforward EI network naturally leads to a subthreshold gain control computation , which can assimilate a wide range of subthreshold inputs and convert amplitude information into spike times.
At the molecular level, I modeled and numerically simulated all possible (~3500) small bistable chemical reaction networks. These can work as biological flip-flops and store 1 bit of chemical memory at chemical synapses. Here we showed different patterns of chemical networks that are robust to memory erasure due to different kinds of perturbations: network structure, reaction rates, and thermal noise. We present the propensity of different biochemical motifs in reliably storing information for given durations in the presense of thermal noise at small volumes, such as postsynaptic compartments (~fL).
|Aug 21, 2022||Website updated!|
|Jan 13, 2021||New website up and running !|
|Jan 1, 2021||Resetting old website to a swanky new one !|
Elife , eLife Sciences Publications Limited (2019)
Different dimensions of robustness-noise, topology and rates-are nearly independent in chemical switchesBioRxiv , Cold Spring Harbor Laboratory (2020)
Bionformatics , Oxford University Press (2021)