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Menoua Keshishian - Publications

Affiliations: 
Electrical Engineering Columbia University, New York, NY 
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7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Keshishian M, Norman-Haignere SV, Mesgarani N. Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems. Advances in Neural Information Processing Systems. 34: 24455-24467. PMID 38737583  0.648
2023 Mischler G, Raghavan V, Keshishian M, Mesgarani N. naplib-python: Neural acoustic data processing and analysis tools in python. Software Impacts. 17. PMID 37771949 DOI: 10.1016/j.simpa.2023.100541  0.678
2023 Mischler G, Raghavan V, Keshishian M, Mesgarani N. naplib-python: Neural Acoustic Data Processing and Analysis Tools in Python. Arxiv. PMID 37064534  0.678
2023 Keshishian M, Akkol S, Herrero J, Bickel S, Mehta AD, Mesgarani N. Joint, distributed and hierarchically organized encoding of linguistic features in the human auditory cortex. Nature Human Behaviour. PMID 36864134 DOI: 10.1038/s41562-023-01520-0  0.624
2022 Mischler G, Keshishian M, Bickel S, Mehta AD, Mesgarani N. Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex. Neuroimage. 266: 119819. PMID 36529203 DOI: 10.1016/j.neuroimage.2022.119819  0.639
2020 Keshishian M, Akbari H, Khalighinejad B, Herrero JL, Mehta AD, Mesgarani N. Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models. Elife. 9. PMID 32589140 DOI: 10.7554/Elife.53445  0.708
2020 Keshishian M, Akbari H, Khalighinejad B, Herrero JL, Mehta AD, Mesgarani N. Author response: Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models Elife. DOI: 10.7554/Elife.53445.Sa2  0.69
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