User profiles for Urvashi Dalvi
Urvashi DalviUniversity of Bordeaux Verified email at etu.u-bordeaux.fr Cited by 22 |
Relaxation of synaptic inhibitory events as a compensatory mechanism in fetal SOD spinal motor networks
…, W Cazenave, L Supiot, F Hodeib, A Laupénie, U Dalvi… - Elife, 2019 - elifesciences.org
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease affecting
motor neurons (MNs) during late adulthood. Here, with the aim of identifying early changes …
motor neurons (MNs) during late adulthood. Here, with the aim of identifying early changes …
Excitatory action of low frequency depolarizing GABA/glycine synaptic inputs is prevalent in prenatal spinal SOD1G93A motoneurons
H Zhu, U Dalvi, W Cazenave, D Cattaert… - The Journal of …, 2024 - Wiley Online Library
Amyotrophic lateral sclerosis (ALS) is a fatal adult‐onset neurodegenerative disease
characterized by progressive motor neuron degeneration and muscle paralysis. Recent evidence …
characterized by progressive motor neuron degeneration and muscle paralysis. Recent evidence …
[HTML][HTML] Multimodal learning of pheromone locations
…, SD Marathe, MM Purnapatre, U Dalvi… - … : official publication of …, 2021 - ncbi.nlm.nih.gov
Memorizing pheromonal locations is critical for many mammalian species as it involves finding
mates and avoiding competitors. In rodents, pheromonal information is perceived by the …
mates and avoiding competitors. In rodents, pheromonal information is perceived by the …
Smita Patil: Fiercely Feminine
L Ramanathan - 2017 - academicworks.cuny.edu
… Bhumika is about Usha/Urvashi Dalvi, a successful actress of her time, tracing both her
personal and professional story arcs. It delineates her struggle to retain a semblance of …
personal and professional story arcs. It delineates her struggle to retain a semblance of …
[PDF][PDF] DYSFONCTIONNEMENTS PRÉNATAUX DE L'INHIBITION LIÉE AU CHLORURE DANS LES MOTONEURONES LOMBAIRES DU MODÈLE DE SOURIS ALS …
ZHU Hongmei - theses.hal.science
… To two internship students of Master (Urvashi DALVI) and Bachelor (Alissa Dimitrova) –
thank you for showing me instantaneous frequency analysis and helping me to re-check the …
thank you for showing me instantaneous frequency analysis and helping me to re-check the …
Analyzing individual neurons in pre-trained language models
While a lot of analysis has been carried to demonstrate linguistic knowledge captured by
the representations learned within deep NLP models, very little attention has been paid …
the representations learned within deep NLP models, very little attention has been paid …
Representation Learning on Heterogeneous Graphs for Link Prediction
AS Dalvi - 2021 - search.proquest.com
Low dimensional embeddings of nodes in graphs using Graph Neural Networks (GNNs)
have proved extremely useful in various prediction tasks, from content recommendations to …
have proved extremely useful in various prediction tasks, from content recommendations to …
Breaking of the Silence: The Novels of Shashi Deshpande URVASHI SINHA AND GUR PYARI JANDIAL
U Sinha - Studies in Women Writers in English, 2007 - books.google.com
If I were a man and cared to know the world I lived in, I almost think it would make me a shade
uneasy-the weight of that long silence of one-half the world. ¹ In the context of literature …
uneasy-the weight of that long silence of one-half the world. ¹ In the context of literature …
Similarity analysis of contextual word representation models
This paper investigates contextual word representation models from the lens of similarity
analysis. Given a collection of trained models, we measure the similarity of their internal …
analysis. Given a collection of trained models, we measure the similarity of their internal …
[PDF][PDF] Analyzing Individual Neurons in Pre-trained Language Models
NDHSF Dalvi, Y Belinkov - alt.qcri.org
While a lot of analysis has been carried to demonstrate linguistic knowledge captured by
the representations learned within deep NLP models, very little attention has been paid …
the representations learned within deep NLP models, very little attention has been paid …