Journal Publications

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• Contextual feature selection with conditional stochastic gates
  D. S. Ram, O. Lindenbaum, M. Lavzin, J. Schiller, G. Mishne and H. Benisty (available on arxiv).
   

• VTA projections to M1 are essential for reorganization of layer 2-3 network dynamics underlying motor learning
  A. Ghanayim*, H. Benisty*, A. Cohen-Rimon, S. Schwartz, R. Talmon, and J. Schiller
  Under review (available on bioRxiv, code)
   

• Back to Normal? Harnessing long short-term memory to examine the associations between social interactions and depressive symptoms during different stages of COVID-19H. Benisty*, A. Zhang*, J. Joormann, H. Kober, R. Gadassi Polack. Under review (code)
   

• Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior
  H. Benisty, A. Moberly, S. Lohani, D. Barson, R.R. Coifman, G. Mishne, J. Cardin, and M.J. Higley
  Nature Neuroscience, 2023 (code)
   

• Data processing of functional optical Microscopy for neuroscience
  H. Benisty, A. Song, G. Mishne, and A.S. Charles
  SPIE, Neurophoton, 2022
   

• Which features of repetitive negative thinking and positive reappraisal predict depression? An in-depth investigation using artificial neural networks with feature selection
  J. Everaert*, H. Benisty*, R. Gadassi-Polack, J. Joormann and G. Mishne
  Journal of Psychopathology and Clinical Science, 2022 (code)

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• Dual color mesoscopic imaging reveals spatiotemporally heterogeneous coordination of cholinergic and neocortical activity
  S. Lohani*, A. Moberly*, H. Benisty, B. Landa, M. Jing, Y. Li, M.J. Higley, and J.A. Cardin
  Nature Neuroscience, 2022

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• Better together: A systematic review of studies combining Magnetic Resonance Imaging with Ecological Momentary Assessment
  R. Gadassi Polack, G. Paganini, J. Winschel, H. Benisty , J.  Joorman, H. Kober and G. Mishne
  Submitted (available on PsyArXiv)
   

• Dynamic compartmental computations in tuft dendrites of layer 5 neurons during motor behavior
  Y. Otor*, S. Achvat* , N. Cermak , H. Benisty , M., Abboud, O. Barak , Y. Schiller , A. Poleg-Polsky and J. Schiller
  Science, 2022
   

• Alliance rupture profiles by personality disorder pathology in psychotherapy for depression: Tendencies, development, and timing
  I. Lipsitz-Odess, H. Benisty, T. Dolev and S. Zilcha-Mano
  Clinical Psychology & Psychotherapy, 2021

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• Cell-Type-Specific Outcome Representation in the Primary Motor Cortex
  S. Levy*, M. Lavzin*, H. Benisty*, A. Ghanayim, U. Dubin, S. Achvat, Z. Brosh, F. Aeed, B.D. Mensh, Y. Schiller, R. Meir, O. Barak, R. Talmon, A. Hantman and J. Schiller
  Neuorn, 2020 (code)
   

• NMDAR-dependent emergence of behavioral representation in primary visual cortex
  A. Puścian, H. Benisty and M.J. Higley
  Cell Reports, 2020

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• Discriminative Keyword Spotting for limited-data applications
  H. Benisty, I. Katz, K. Crammer and D. Malah
  Speech Communication, 2018

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• Mapping piezoelectric response in nanomaterials using a dedicated non-destructive scanning probe technique
  Y. Calahorra, M. Smith, A. Datta, H. Benisty and S. Kar-Nayaran
  Nanoscale, 2017

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• Grid-based approximation for voice conversion in low resource environments
  H. Benisty, D. Malah and K. Crammer
  EURASIP Journal on Audio, Speech, and Music Processing, 2016
  
  *Equal contribution.

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Conference Proceedings

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• Audio Retrieval By Voice Imitation
  S. Khawaled, M. Khateeb and H. Benisty
  IEEE-ICSEE, 2018
   

• Enhancement of BCI classifiers through domain adaptation
  H. Benisty, D. Furman, A. Ivry and H. Pratt
  IEEE-ICSEE, 2016

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• Sequential voice conversion using grid-based approximation
  H. Benisty, D. Malah and K. Crammer
  IEEEI, 2016 (Best student paper award)

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• Metric learning using labeled and unlabeled data for semi-supervised/domain adaptation classification
  H. Benisty and K. Crammer
  IEEEI, 2014

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• Non-parallel voice conversion using joint optimization of alignment by temporal context and spectral distortio
  H. Benisty, D. Malah and K. Crammer
  ICASSP, 2014
   

• Modular global variance enhancement for voice conversion systems
  H. Benisty, D. Malah and K. Crammer
  EUSIPCO, 2021
   

• Voice conversion using GMM with enhanced global variance
  H. Benisty and D. Malah
  ISCA, 2011
   

• Adaptive system identification using time-varying Fourier transform
  H. Benisty, Y. Avergil and I. Cohen
  IEEE, 2009

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Peer-Reviewed Abstracts/Talks

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• Dynamic cortical network architecture corresponds to state-dependent visual perception
  H. Benisty*, L. Mark*, L. Tang, J.A. Cardin and M.J. Higley
  Cosyne 2021 (abstract)

 

• Hierarchical Tensor Partitioning and Tiling for Learning Coupled Multiscale Neuronal Dynamics
  G. Mishne*, H. Benisty*, M. Lavzin, S. Levy, R. Talmon, R. Meir, J. Schiller and R.R. Coifman
  Cosyne 2020 (abstract)
   

• Dynamic functional connectivity of cortical networks during behavior
  H. Benisty
  Yale University, 2019 (seminar)
   

• Manifold Learning – Theory and Applications for Analysis of Mesoscopic Imaging Data
  H. Benisty
  Janelia Research Campus, 2019 (workshop)
   

• Quantifying relationships between behavior and cell type specific neuronal activity in motor cortex using a generalized linear model
  H. Benisty, M. Lavzin, S. Levi, G. Mishne R. Talmon R. Meir J. Schiller and R.R. Coifman
  CRCNS, 2019 (abstract)

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• Data-driven geometry learning for parametrically dependent dynamical systems
  H. Benisty
  Yale University, 2018 (seminar)