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2020 – today
- 2025
[c5]Pietro Stabile, Neil Ashim Mehta, Inês Gonçalves, Andrea Farabbi, Athanasios Vourvopoulos, Pulkit Grover, Patrícia Figueiredo:
Deep Learning Prediction of BOLD-fMRI Signals from Simultaneous EEG During Motor Imagery. EUSIPCO 2025: 1025-1029- [c4]Giorgio Scavalli Veccia, Neil Ashim Mehta, Shay Englander Bendor, Pulkit Grover, Athanasios Vourvopoulos, Patrícia Figueiredo:
Motor Imagery EEG Classification with Convolutional Neural Networks: Impact of Reduced Trials, Channels and Samples Across Different Datasets. EUSIPCO 2025: 1487-1491 - [i2]Neil Ashim Mehta, Inês Gonçalves, Alberto Montagna, Mathis Fleury, Gustavo Caetano, Inês Esteves, Athanasios Vourvopoulos, Pulkit Grover
, Patrícia Figueiredo:
Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity. CoRR abs/2504.10752 (2025) - 2023
- [c3]Jiaming Cao, Neil Ashim Mehta, Jingyi Wu, Sossena Wood, Jana M. Kainerstorfer, Pulkit Grover:
Scaling of Algorithmic Bias in Pulse Oximetry with Signal-to-Noise Ratio. EMBC 2023: 1-4 - 2022
- [c2]Neil Ashim Mehta, Pulkit Grover:
Efficient interventions in a neural circuit from observations: an information-theoretic study. ITW 2022: 356-361 - 2021
- [c1]Praveen Venkatesh, Sanghamitra Dutta, Neil Ashim Mehta, Pulkit Grover:
Can Information Flows Suggest Targets for Interventions in Neural Circuits? NeurIPS 2021: 3149-3162 - [i1]Praveen Venkatesh, Sanghamitra Dutta, Neil Ashim Mehta, Pulkit Grover:
Can Information Flows Suggest Targets for Interventions in Neural Circuits? CoRR abs/2111.05299 (2021)
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