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Nitin Gupta 0002

dblp:79/4606 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-8408-3848ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis › subnetwork detection
network querying
0.112007
QNet: A Tool for Querying Protein Interaction Networks · RECOMB 2007
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction network
0.112007
QNet: A Tool for Querying Protein Interaction Networks · RECOMB 2007

Methods — techniques the papers use, named apart from their topics

graph matching · 0.1
YearPublicationVenuePosition
2015 Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit
abstract
Inhibitory interneurons play critical roles in shaping the firing patterns of principal neurons in many brain systems. Despite difference in the anatomy or functions of neuronal circuits containing inhibition, two basic motifs repeatedly emerge: feed-forward and feedback. In the locust, it was proposed that a subset of lateral horn interneurons (LHNs), provide feed-forward inhibition onto Kenyon cells (KCs) to maintain their sparse firing--a property critical for olfactory learning and memory. But recently it was established that a single inhibitory cell, the giant GABAergic neuron (GGN), is the main and perhaps sole source of inhibition in the mushroom body, and that inhibition from this cell is mediated by a feedback (FB) loop including KCs and the GGN. To clarify basic differences in the effects of feedback vs. feed-forward inhibition in circuit dynamics we here use a model of the locust olfactory system. We found both inhibitory motifs were able to maintain sparse KCs responses and provide optimal odor discrimination. However, we further found that only FB inhibition could create a phase response consistent with data recorded in vivo. These findings describe general rules for feed-forward versus feedback inhibition and suggest GGN is potentially capable of providing the primary source of inhibition to the KCs. A better understanding of how inhibitory motifs impact post-synaptic neuronal activity could be used to reveal unknown inhibitory structures within biological networks.
Tiffany Kee, Pavel Sanda, Nitin Gupta 0002, Mark Stopfer, Maxim Bazhenov
PLoS Comput. Biol.3
2007 QNet: A Tool for Querying Protein Interaction Networks
Banu Dost, Tomer Shlomi, Nitin Gupta 0002, Eytan Ruppin, Vineet Bafna, Roded Sharan
RECOMB3