Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ezequiel M Arneodo"'
Autor:
Daril E Brown, Jairo I Chavez, Derek H Nguyen, Adam Kadwory, Bradley Voytek, Ezequiel M Arneodo, Timothy Q Gentner, Vikash Gilja
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1008100 (2021)
Neuronal activity within the premotor region HVC is tightly synchronized to, and crucial for, the articulate production of learned song in birds. Characterizations of this neural activity detail patterns of sequential bursting in small, carefully ide
Externí odkaz:
https://doaj.org/article/d0003db28ee94801b869ad86964ec34e
Autor:
Homare Yamahachi, Anja T Zai, Ryosuke O Tachibana, Anna E Stepien, Diana I Rodrigues, Sophie Cavé-Lopez, Corinna Lorenz, Ezequiel M Arneodo, Nicolas Giret, Richard H R Hahnloser
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0236333 (2020)
Research on the songbird zebra finch (Taeniopygia guttata) has advanced our behavioral, hormonal, neuronal, and genetic understanding of vocal learning. However, little is known about the impact of typical experimental manipulations on the welfare of
Externí odkaz:
https://doaj.org/article/00b7fa44ad74448ab016c272a090c156
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 6, p e1002546 (2012)
Because of the parallels found with human language production and acquisition, birdsong is an ideal animal model to study general mechanisms underlying complex, learned motor behavior. The rich and diverse vocalizations of songbirds emerge as a resul
Externí odkaz:
https://doaj.org/article/3d455e8cb253498fa04e9b48fbead9f4
Autor:
John Hermiz, Lorraine Hossain, Ezequiel M. Arneodo, Mehran Ganji, Nicholas Rogers, Nasim Vahidi, Eric Halgren, Timothy Q. Gentner, Shadi A. Dayeh, Vikash Gilja
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
High-fidelity measurements of neural activity can enable advancements in our understanding of the neural basis of complex behaviors such as speech, audition, and language, and are critical for developing neural prostheses that address impairments to
Externí odkaz:
https://doaj.org/article/3a8fe952a6544f81909edfce7eba44c8
Autor:
Tim Sainburg, Trevor S McPherson, Ezequiel M. Arneodo, Srihita Rudraraju, Michael Turvey, Brad Thielman, Pablo Tostado Marcos, Marvin Thielk, Timothy Q Gentner
Vocal communication in both songbirds and humans relies on categorical perception of smoothly varying acoustic spaces. Vocal perception can be biased by expectation and context, but the mechanisms of this bias are not well understood. We developed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6d47293cad6270800d38dd5f1f4ba44
https://doi.org/10.1101/2022.04.14.488412
https://doi.org/10.1101/2022.04.14.488412
Autor:
Adam Kadwory, Timothy Q. Gentner, Jairo Ismahar Chavez, Bradley Voytek, Vikash Gilja, Daril E. Brown, Derek Hung Nguyen, Ezequiel M. Arneodo
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 9, p e1008100 (2021)
PLoS computational biology, vol 17, iss 9
PLoS Computational Biology, Vol 17, Iss 9, p e1008100 (2021)
PLoS computational biology, vol 17, iss 9
Neuronal activity within the premotor region HVC is tightly synchronized to, and crucial for, the articulate production of learned song in birds. Characterizations of this neural activity detail patterns of sequential bursting in small, carefully ide
Publikováno v:
Current biology : CB, vol 31, iss 15
Curr Biol
Curr Biol
Brain Machine Interfaces (BMIs) hold promise to restore impaired motor function and serve as powerful tools to study learned motor skill. While limb-based motor prosthetic systems have leveraged nonhuman primates as an important animal model,(1–4)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0455d7c955c5f7a959135cbbc097c235
https://escholarship.org/uc/item/2dc789sc
https://escholarship.org/uc/item/2dc789sc
Autor:
Sang Heon Lee, Timothy Q. Gentner, Joel R. Martin, Hongseok Oh, Sang Baek Ryu, Shelley I. Fried, Ezequiel M. Arneodo, Michiko Shigyo, Anna Devor, Atsunori Tanaka, Shadi A. Dayeh, Vikash Gilja, Martin Marsala, Youngbin Tchoe, Jimmy C. Yang, Daniel R. Cleary, Ren Liu, Eric Halgren, Angelique C. Paulk, Mehran Ganji, Lorraine Hossain, Nasim W. Vahidi, Martin Thunemann, Sydney S. Cash, Seungwoo Lee
Publikováno v:
Nano Letters. 19:6244-6254
The enhanced electrochemical activity of nanostructured materials is readily exploited in energy devices, but their utility in scalable and human-compatible implantable neural interfaces can significantly advance the performance of clinical and resea
Autor:
Neil C. Rabinowitz, Kristina B. Penikis, Jingji Zhang, Angela Licata, Annika Cichy, Ezequiel M. Arneodo, Dmitry Rinberg, Thomas Bozza
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Nature Communications
Nature Communications, 9 (1)
Nature Communications
Nature Communications, 9 (1)
Olfactory inputs are organized in an array of functional units (glomeruli), each relaying information from sensory neurons expressing a given odorant receptor to a small population of output neurons, mitral/tufted (MT) cells. MT cells respond heterog
Brain Machine Interfaces (BMIs) hold promise to restore impaired motor function and, because they decode neural signals to infer behavior, can serve as powerful tools to understand the neural mechanisms of motor control. Yet complex behaviors, such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9571a2a61f7c075eae44a83b49de735