- Pain Mechanisms and Treatments
- Neural dynamics and brain function
- Photoreceptor and optogenetics research
- Pain Management and Placebo Effect
- Computational Physics and Python Applications
- Power Transformer Diagnostics and Insulation
- Neurobiology and Insect Physiology Research
- Mindfulness and Compassion Interventions
- Geophysical and Geoelectrical Methods
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Computational Drug Discovery Methods
- Gait Recognition and Analysis
- Neural Networks and Applications
- Child and Adolescent Psychosocial and Emotional Development
- Neuroscience and Neural Engineering
- Vagus Nerve Stimulation Research
- Olfactory and Sensory Function Studies
- Educational and Psychological Assessments
- Counseling Practices and Supervision
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Human Pose and Action Recognition
- Speech and Audio Processing
- Insect and Arachnid Ecology and Behavior
- Plant and animal studies
Janelia Research Campus
2018-2023
Howard Hughes Medical Institute
2018-2023
New York University
2018-2021
Johns Hopkins University
2018-2021
Indian Institute of Technology Kanpur
2020
Malaviya National Institute of Technology Jaipur
2019
Helix (United States)
2018
Genetically encoded voltage indicators (GEVIs) enable monitoring of neuronal activity at high spatial and temporal resolution. However, the utility existing GEVIs has been limited by brightness photostability fluorescent proteins rhodopsins. We engineered a GEVI, called Voltron, that uses bright photostable synthetic dyes instead protein-based fluorophores, thereby extending number neurons imaged simultaneously in vivo factor 10 enabling imaging for significantly longer durations relative to...
Voltage imaging enables monitoring neural activity at sub-millisecond and sub-cellular scale, unlocking the study of subthreshold activity, synchrony, network dynamics with unprecedented spatio-temporal resolution. However, high data rates (>800MB/s) low signal-to-noise ratios create bottlenecks for analyzing such datasets. Here we present VolPy, an automated scalable pipeline to pre-process voltage VolPy features motion correction, memory mapping, segmentation, denoising spike extraction,...
The ability to probe the membrane potential of multiple genetically defined neurons simultaneously would have a profound impact on neuroscience research. Genetically encoded voltage indicators are promising tool for this purpose, and recent developments achieved high signal-to-noise ratio in vivo with 1-photon fluorescence imaging. However, these recordings exhibit several sources noise signal extraction remains challenge. We present an improved pipeline, spike-guided penalized matrix...
Abstract Connections between neuronal populations may be genetically hardwired or random. In the insect olfactory system, projection neurons of antennal lobe connect randomly to Kenyon cells mushroom body. Consequently, while odor responses are stereotyped across individuals, variable. Surprisingly, downstream cells, body output show stereotypy in their responses. We found that is enabled by convergence inputs from many onto an neuron, and does not require learning. The emerges total...
Objective. The primary somatosensory cortex (S1) and the anterior cingulate (ACC) are two of most important cortical brain regions encoding sensory-discriminative affective-emotional aspects pain, respectively. However, functional connectivity these areas during pain processing remains unclear. Developing methods to dissect directed information flow between circuits can reveal insight into neural mechanisms perception. Approach. We recorded multichannel local field potentials (LFPs) from S1...
Abstract Imaging changes in membrane potential using genetically encoded fluorescent voltage indicators (GEVIs) has great for monitoring neuronal activity with high spatial and temporal resolution. Brightness photostability of proteins rhodopsins have limited the utility existing GEVIs. We engineered a novel GEVI, ‘Voltron’, that utilizes bright photostable synthetic dyes instead protein-based fluorophores, extending combined duration imaging number neurons imaged simultaneously by more than...
Abstract Pain is a complex, multidimensional experience that involves dynamic interactions between sensory-discriminative and affective-emotional processes. experiences have high degree of variability depending on their context prior anticipation. Viewing pain perception as perceptual inference problem, we propose predictive coding paradigm to characterize evoked non-evoked pain. We record the local field potentials (LFPs) from primary somatosensory cortex (S1) anterior cingulate (ACC)...