Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yashar Ahmadi"'
Publikováno v:
Iranian Journal of Electrical and Electronic Engineering, Vol 5, Iss 2, Pp 67-92 (2009)
In this study, a mathematical model is developed based on algebraic equations which is capable of generating artificially normal events of electrocardiogram (ECG) signals such as P-wave, QRS complex, and T-wave. This model can also be implemented for
Externí odkaz:
https://doaj.org/article/fd75ada2eccf432e86f7ccba16e3ff0c
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1012190 (2024)
When stimulated, neural populations in the visual cortex exhibit fast rhythmic activity with frequencies in the gamma band (30-80 Hz). The gamma rhythm manifests as a broad resonance peak in the power-spectrum of recorded local field potentials, whic
Externí odkaz:
https://doaj.org/article/c6f2e7c4bac34959adbf4ccfdeb8d11e
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S794- (2023)
Externí odkaz:
https://doaj.org/article/04f6cb1db6a54cbeb0c1189183751f77
Autor:
Kiyohito Iigaya, Yashar Ahmadian, Leo P. Sugrue, Greg S. Corrado, Yonatan Loewenstein, William T. Newsome, Stefano Fusi
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Recent experience can only provide limited information to guide decisions in a volatile environment. Here, the authors report that the choices made by a monkey in a dynamic foraging task can be better explained by a model that combines learning on bo
Externí odkaz:
https://doaj.org/article/a688406c53864b749f691bf87f05f1cc
Autor:
Teresa M Findley, David G Wyrick, Jennifer L Cramer, Morgan A Brown, Blake Holcomb, Robin Attey, Dorian Yeh, Eric Monasevitch, Nelly Nouboussi, Isabelle Cullen, Jeremea O Songco, Jared F King, Yashar Ahmadian, Matthew C Smear
Publikováno v:
eLife, Vol 10 (2021)
For many organisms, searching for relevant targets such as food or mates entails active, strategic sampling of the environment. Finding odorous targets may be the most ancient search problem that motile organisms evolved to solve. While chemosensory
Externí odkaz:
https://doaj.org/article/aa161e2f77054a14b58e9df594309c85
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 4, p e1006816 (2019)
Tuning curves characterizing the response selectivities of biological neurons can exhibit large degrees of irregularity and diversity across neurons. Theoretical network models that feature heterogeneous cell populations or partially random connectiv
Externí odkaz:
https://doaj.org/article/07a4245dca9843d0a4f8382be6919ebf