Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Fred Rieke"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Adaptation is a universal aspect of neural systems that changes circuit computations to match prevailing inputs. These changes facilitate efficient encoding of sensory inputs while avoiding saturation. Conventional artificial neural networks
Externí odkaz:
https://doaj.org/article/44cd04f28f5348b5aa06d2f1e66defad
Autor:
Markku Kilpeläinen, Johan Westö, Jussi Tiihonen, Anton Laihi, Daisuke Takeshita, Fred Rieke, Petri Ala-Laurila
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract How the spike output of the retina enables human visual perception is not fully understood. Here, we address this at the sensitivity limit of vision by correlating human visual perception with the spike outputs of primate ON and OFF parasol
Externí odkaz:
https://doaj.org/article/78bf784c369c41f89c57fce1ef4127ea
Publikováno v:
eLife, Vol 13 (2024)
Externí odkaz:
https://doaj.org/article/47a8a50399ec44d7a5a73c829564cc3d
Publikováno v:
Frontiers in Ophthalmology, Vol 3 (2023)
Linking the activity of neurons, circuits and synapses to human behavior is a fundamental goal of neuroscience. Meeting this goal is challenging, in part because behavior, particularly perception, often masks the complexity of the underlying neural c
Externí odkaz:
https://doaj.org/article/fc164089842c410abb76fa51b472cccf
Publikováno v:
eLife, Vol 11 (2022)
Neural circuits are constructed from nonlinear building blocks, and not surprisingly overall circuit behavior is often strongly nonlinear. But neural circuits can also behave near linearly, and some circuits shift from linear to nonlinear behavior de
Externí odkaz:
https://doaj.org/article/71365ef2c274418592a30f0547b10e70
Autor:
Levi Todd, Marcus J. Hooper, Alexandra K. Haugan, Connor Finkbeiner, Nikolas Jorstad, Nicholas Radulovich, Claire K. Wong, Phoebe C. Donaldson, Wesley Jenkins, Qiang Chen, Fred Rieke, Thomas A. Reh
Publikováno v:
Cell Reports, Vol 37, Iss 3, Pp 109857- (2021)
Summary: Regenerative neuroscience aims to stimulate endogenous repair in the nervous system to replace neurons lost from degenerative diseases. Recently, we reported that overexpressing the transcription factor Ascl1 in Müller glia (MG) is sufficie
Externí odkaz:
https://doaj.org/article/4e22db68d209415691d36918e753da31
Autor:
Haruhisa Okawa, Wan-Qing Yu, Ulf Matti, Karin Schwarz, Benjamin Odermatt, Haining Zhong, Yoshihiko Tsukamoto, Leon Lagnado, Fred Rieke, Frank Schmitz, Rachel O. L. Wong
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Ribbon synapses in our sensory nervous system are central to hearing and sight, yet little is known about how these synapses are assembled and maintained during development. In this study, authors use live imaging techniques to monitor ribbon appeara
Externí odkaz:
https://doaj.org/article/fab6c0f6151e4201945361b7613c377a
Autor:
Nikolas L. Jorstad, Matthew S. Wilken, Levi Todd, Connor Finkbeiner, Paul Nakamura, Nicholas Radulovich, Marcus J. Hooper, Alex Chitsazan, Brent A. Wilkerson, Fred Rieke, Thomas A. Reh
Publikováno v:
Cell Reports, Vol 30, Iss 7, Pp 2195-2208.e5 (2020)
Summary: Müller glia (MG) serve as sources for retinal regeneration in non-mammalian vertebrates. We find that this process can be induced in mouse MG, after injury, by transgenic expression of the proneural transcription factor Ascl1 and the HDAC i
Externí odkaz:
https://doaj.org/article/92d77537dc5a471fb270672b687e7c22
Publikováno v:
eLife, Vol 8 (2019)
Descriptive statistical models of neural responses generally aim to characterize the mapping from stimuli to spike responses while ignoring biophysical details of the encoding process. Here, we introduce an alternative approach, the conductance-based
Externí odkaz:
https://doaj.org/article/bda624d0d0344709a386685ad455d8c0
Publikováno v:
eLife, Vol 8 (2019)
Daylight vision starts with signals in three classes of cone photoreceptors sensitive to short (S), middle (M), and long (L) wavelengths. Psychophysical studies show that perceptual sensitivity to rapidly varying inputs differs for signals originatin
Externí odkaz:
https://doaj.org/article/10d926be36f8442a9d26535462840e9d