Zobrazeno 1 - 10
of 43
pro vyhledávání: '"David M. Groppe"'
Autor:
Marjan Rafiee, Kramay Patel, David M. Groppe, Danielle M. Andrade, Eduard Bercovici, Esther Bui, Peter L. Carlen, Aylin Reid, Peter Tai, Donald Weaver, Richard Wennberg, Taufik A. Valiante
Publikováno v:
Epilepsia Open, Vol 5, Iss 2, Pp 285-294 (2020)
Abstract Objective Epilepsy is one of the most common neurological disorders . Many individuals continue to have seizures despite medical and surgical treatments, suggesting adjunctive management strategies are required. Promising effects of daily li
Externí odkaz:
https://doaj.org/article/3f397f46946d4587a733480a4864aed6
Autor:
Shany Grossman, Guy Gaziv, Erin M. Yeagle, Michal Harel, Pierre Mégevand, David M. Groppe, Simon Khuvis, Jose L. Herrero, Michal Irani, Ashesh D. Mehta, Rafael Malach
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Deep convolutional neural networks (DCNNs) are able to identify faces on par with humans. Here, the authors record neuronal activity from higher visual areas in humans and show that face-selective responses in the brain show similarity to those in th
Externí odkaz:
https://doaj.org/article/e98fc9d58d49400dacc21b3515cf7cb8
Autor:
Shany Grossman, Erin M. Yeagle, Michal Harel, Elizabeth Espinal, Roy Harpaz, Niv Noy, Pierre Mégevand, David M. Groppe, Ashesh D. Mehta, Rafael Malach
Publikováno v:
Cell Reports, Vol 29, Iss 12, Pp 3775-3784.e4 (2019)
Summary: The unique profile of strong and weak cognitive traits characterizing each individual is of a fundamental significance, yet their neurophysiological underpinnings remain elusive. Here, we present intracranial electroencephalogram (iEEG) meas
Externí odkaz:
https://doaj.org/article/0b64fd5d7cd64839823cb43182e6c164
Autor:
Elana Zion Golumbic, David M. Groppe, Manuel R. Mercier, Nima Mesgarani, Charles E. Schroeder, Michael S. Beauchamp, Pierre Mégevand, Ashesh D. Mehta
Publikováno v:
Journal of Neuroscience (2020)
J Neurosci
J Neurosci
Natural conversation is multisensory: when we can see the speaker's face, visual speech cues improve our comprehension. The neuronal mechanisms underlying this phenomenon remain unclear. The two main alternatives are visually mediated phase modulatio
Autor:
Michal Harel, Jose L. Herrero, Michal Irani, Ashesh D. Mehta, Guy Gaziv, Shany Grossman, Rafael Malach, Simon Khuvis, Pierre Mégevand, David M. Groppe, Erin M. Yeagle
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Nature Communications
Nature Communications, Vol. 10, No 1 (2019) P. 4934
Nature Communications
Nature Communications, Vol. 10, No 1 (2019) P. 4934
The discovery that deep convolutional neural networks (DCNNs) achieve human performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties to such tasks. Here we show that the face-space geometry, revealed through pa
Publikováno v:
IEEE Journal of Solid-State Circuits. 53:3150-3162
The advancement of implantable medical devices for the treatment of neurological disorders demands energy-efficient, low-latency processors for responsive, safe, and personalized neuromodulation. A 130-nm CMOS neural interface processor is presented
Data-driven graph learning models a network by determining the strength of connections between its nodes. The data refers to a graph signal which associates a value with each graph node. Existing graph learning methods either use simplified models fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ae4e558c6bae221b06a5e23a489e478
http://arxiv.org/abs/2011.02179
http://arxiv.org/abs/2011.02179
Autor:
David M. Groppe
Publikováno v:
Psychophysiology. 54:139-145
A symptom of the need for greater reproducibility in scientific practice is the decline effect-the fact that the size of many experimental effects decline with subsequent study or fail to replicate entirely. A simple way to combat this problem is for
Autor:
Olivier David, Rob Knight, Christopher J. Honey, Chris Holdgraf, Jean-Philippe Lachaux, Andrea Pigorini, Sasha D'Ambrosio, Nick F. Ramsey, Brian A. Wandell, Liberty S. Hamilton, Christopher Lee-Messer, Nader Pouratian, Jonathan Winawer, Kristofer E. Bouchard, Lyuba Zehl, Benjamin Dichter, Jeffrey G. Ojemann, Dora Hermes, Orrin Devinsky, Bradley Voytek, Arjen Stolk, David M. Groppe, Jonathan C. Lau, Natalia Petridou, Krzysztof J. Gorgolewski, Nicole C. Swann, Robert Oostenveld, François Tadel, Stefan Appelhoff, Gio Piantoni, Brian Nils Lundstrom, Adeen Flinker, Iris I. A. Groen, Mainak Jas, Kai J. Miller, Kirstie Whitaker, Stephan Bickel, Aysegul Gunduz, Brett L. Foster
Publikováno v:
Scientific data 6(1), 102 (2019). doi:10.1038/s41597-019-0105-7
Scientific Data
Scientific Data, Vol 6, Iss 1, Pp 1-6 (2019)
Scientific data, vol 6, iss 1
Scientific Data
Scientific Data, Vol 6, Iss 1, Pp 1-6 (2019)
Scientific data, vol 6, iss 1
The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cd5aac1ad370b4c4856b0212f1c488e
Autor:
Ashesh D. Mehta, Elizabeth Espinal, Shany Grossman, Pierre Mégevand, Rafael Malach, Roy Harpaz, David M. Groppe, Niv Noy, Michal Harel, Erin M. Yeagle
Publikováno v:
Cell Reports, Vol 29, Iss 12, Pp 3775-3784.e4 (2019)
Cell Reports, Vol. 29, No 12 (2019) pp. 3775-3784.e4
Cell Reports, Vol. 29, No 12 (2019) pp. 3775-3784.e4
Summary: The unique profile of strong and weak cognitive traits characterizing each individual is of a fundamental significance, yet their neurophysiological underpinnings remain elusive. Here, we present intracranial electroencephalogram (iEEG) meas