(Molecular Electronics Laboratory, Prof. KS Narayan, JNCASR)
Continuing the previous work on aperiodic substrates; also looking at theoretical aspects of the question as I see a Fourier pattern emerging in the network formation on the substrates
Silent Memory Recall Detection Using Eye + Brow Dynamics, Pre-lie detection
This project aims to detect silent memory recall and pre-lie states by analyzing subtle eye and brow dynamics using computer vision. Neuroscience shows that recalling memories or preparing to lie triggers involuntary micro-expressions—like gaze shifts, blink rate changes, and eyebrow micro-twitches—due to increased cognitive load and neural coupling between memory retrieval and facial motor control. By annotating video datasets with CVAT, these fine-grained dynamics can be labeled and used to train machine learning models (e.g., CNNs, RNNs) to classify recall vs. fabrication states. Scientifically, the project bridges cognitive neuroscience and AI, offering applications in memory research, lie detection, and cognitive state monitoring.
Neuronal network dynamics on patterned biocompatible substrates
(Molecular Electronics Laboratory, Prof. KS Narayan, JNCASR)
Under the guidance of Prof. KS Narayan, I am investigating neuronal networking phenomena, focusing on how synapse formation and neuronal properties change on micrometre‑scale patterned biocompatible substrates in a rodent primary cortical culture model. By fabricating precisely defined stripes of conductive PEDOT:PSS and ferroelectric PVDF‑TrFE—and thoroughly characterizing their electrical, mechanical, and topographical features—I isolate and culture cortical neurons and employ electrophysiological recordings alongside quantitative fluorescence imaging to assess neurite outgrowth, growth‑cone turning, and synaptic dynamics.
Preliminary observations reveal significant growth‑cone turning at the PEDOT:PSS–PVDF‑TrFE interface and a striking preference for neuronal adhesion and network density along the polarized ferroelectric stripes. The findings from this investigation on neuron–biomaterial interfaces provide a fundamental understanding of primitive developmental memory‑on‑a‑dish at the cellular level as a function of a periodic electrical surface. This insight will be instrumental in designing next‑generation neural interfaces for regeneration and guided axon pathfinding.
Spontaneous activity, often characterized by rhythmic bursts of neuronal firing, is a crucial signature of life. The spatiotemporal properties and underlying mechanisms of embryonic retinal waves in the chick model remain less well understood.
I have performed a comprehensive study of spontaneous activity, retinal wave dynamics and neural circuit formation during chick embryonic development and how this foundational activity not only supports the development of the visual system but also plays a role in learning and memory, suggesting that the patterns established during these early stages can influence how the visual system adapts to new experiences over time. There are several interlinked questions that remain to be answered, like are there species-specific differences in the mechanisms governing embryonic retinal waves?
At Sen Lab, I have undertaken an extensive analysis of single-cell, bulk, and pseudo-bulk RNA sequencing to explore the functional distribution and evolutionary dynamics of brain cell types in Asian malaria mosquito, Anopheles stephensi midbrain. This project focuses on blood-feeding behaviors, aiming to elucidate gene expression patterns at both intercellular and intracellular levels before and after blood meal. Additionally, the study also seeks to identify potentially novel cell types within this context.
Our findings suggest that the identified metabolites may serve as potential biomarkers for PAs and warrant further investigation in clinical settings to develop a blood-based diagnostic test.
Raman spectroscopy has emerged as a pivotal analytical tool for the examination of clinical samples, including plasma, serum, saliva, and tissue, by delivering detailed molecular fingerprints through non-destructive methods. Its advantages over infrared (IR) spectroscopy include expedited sample preparation, the ability to analyze samples in aqueous environments, and the capacity to assess molecules lacking a permanent dipole moment.
Our developed methodology empowers frontline clinicians and laboratory personnel to identify overexpressed biomolecules within disease cohorts, thereby enhancing point-of-care decision-making. In light of the potential resurgence of SARS-CoV-2, confocal Raman spectroscopy presents a cost-effective and robust alternative to traditional omics technologies and cytokine panels. The implementation of a confocal Raman-based blood test for evaluating disease severity in SARS-CoV-2 patients could significantly bolster rapid triaging capabilities across both developed and developing regions, providing essential insights for clinicians managing severe cases.