Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Stephen A Baccus"'
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 11, p e1006560 (2018)
To transmit information efficiently in a changing environment, the retina adapts to visual contrast by adjusting its gain, latency and mean response. Additionally, the temporal frequency selectivity, or bandwidth changes to encode the absolute intens
Externí odkaz:
https://doaj.org/article/18eca5bd598948838ca78afc9c1010b0
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 8, p e1006291 (2018)
A central challenge in sensory neuroscience involves understanding how neural circuits shape computations across cascaded cell layers. Here we attempt to reconstruct the response properties of experimentally unobserved neurons in the interior of a mu
Externí odkaz:
https://doaj.org/article/77bfc50ae8204262b7b178d74520ec81
Autor:
Pablo D Jadzinsky, Stephen A Baccus
Publikováno v:
eLife, Vol 4 (2015)
Sensory stimuli have varying statistics influenced by both the environment and by active sensing behaviors that rapidly and globally change the sensory input. Consequently, sensory systems often adjust their neural code to the expected statistics of
Externí odkaz:
https://doaj.org/article/298559edf6df47c4b58296e4be6a4efb
Autor:
Bongsoo Suh, Stephen A Baccus
Publikováno v:
PLoS Biology, Vol 12, Iss 10, p e1001973 (2014)
Sensory systems must be able to extract features of a stimulus to detect and represent properties of the world. Because sensory signals are constantly changing, a critical aspect of this transformation relates to the timing of signals and the ability
Externí odkaz:
https://doaj.org/article/563e5ee198d242d2b5b25cabe0661639
Publikováno v:
bioRxiv
The ability to discriminate visual stimuli is constrained by their retinal representations. Previous studies of visual discriminability were limited to either low-dimensional artificial stimuli or theoretical considerations without a realistic model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::792821ae537a85c048ed39f946c6788e
https://doi.org/10.1101/2023.05.17.541206
https://doi.org/10.1101/2023.05.17.541206
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
Autor:
Hidenori, Tanaka, Aran, Nayebi, Niru, Maheswaranathan, Lane, McIntosh, Stephen A, Baccus, Surya, Ganguli
Publikováno v:
Adv Neural Inf Process Syst
Recently, deep feedforward neural networks have achieved considerable success in modeling biological sensory processing, in terms of reproducing the input-output map of sensory neurons. However, such models raise profound questions about the very nat
Publikováno v:
CISS
The retina provides an excellent system for understanding the trade-offs that influence distributed information processing across multiple neuron types. We focus here on the problem faced by the visual system of allocating a limited number neurons to
Retinal amacrine cells are a diverse population of inhibitory interneurons, posing a challenge to understand the specific roles of those interneurons in computations of the similarly diverse ganglion cell population. Here we study the predictive comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdeb94c10ada4a404e17868e75bea932
Autor:
Amin Nikoozadeh, Stephen A. Baccus, Mike D. Menz, Pierre Khuri-Yakub, Kamyar Firouzi, Kim Butts Pauly, Patrick Peiyong Ye
Focused ultrasound has been shown to be effective at stimulating neurons in many animal models, both in vivo and ex vivo. Ultrasonic neuromodulation is the only noninvasive method of stimulation that could reach deep in the brain with high spatial-te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062a834d09c3745c843797947a3b6085
https://europepmc.org/articles/PMC6687898/
https://europepmc.org/articles/PMC6687898/
Publikováno v:
Cell Reports. 35:109158
Modulation of neuronal thresholds is ubiquitous in the brain. Phenomena such as figure-ground segmentation, motion detection, stimulus anticipation, and shifts in attention all involve changes in a neuron's threshold based on signals from larger scal