Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Ann M. Hermundstad"'
Autor:
Christopher F. Angeloni, Wiktor Młynarski, Eugenio Piasini, Aaron M. Williams, Katherine C. Wood, Linda Garami, Ann M. Hermundstad, Maria N. Geffen
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-19 (2023)
Abstract Neurons throughout the sensory pathway adapt their responses depending on the statistical structure of the sensory environment. Contrast gain control is a form of adaptation in the auditory cortex, but it is unclear whether the dynamics of g
Externí odkaz:
https://doaj.org/article/74aacda736de4c7092193967dc316ee2
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 6 (2023)
To interpret the sensory environment, the brain combines ambiguous sensory measurements with knowledge that reflects context-specific prior experience. But environmental contexts can change abruptly and unpredictably, resulting in uncertainty about t
Externí odkaz:
https://doaj.org/article/c93b13a9787e453f9e49d2ef29e13516
Autor:
Kamesh Krishnamurthy, Ann M. Hermundstad, Thierry Mora, Aleksandra M. Walczak, Vijay Balasubramanian
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Animals smelling in the real world use a small number of receptors to sense a vast number of natural molecular mixtures, and proceed to learn arbitrary associations between odors and valences. Here, we propose how the architecture of olfactory circui
Externí odkaz:
https://doaj.org/article/eda9b2a8a81e4333be77ab2a37579436
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
Identifying coordinated activity within complex systems is essential to linking their structure and function. We study collective activity in networks of pulse-coupled oscillators that have variable network connectivity and integrate-and-fire dynamic
Externí odkaz:
https://doaj.org/article/72aa39a906804d9e9d373bfe6f47dd98
Autor:
Brad K Hulse, Hannah Haberkern, Romain Franconville, Daniel Turner-Evans, Shin-ya Takemura, Tanya Wolff, Marcella Noorman, Marisa Dreher, Chuntao Dan, Ruchi Parekh, Ann M Hermundstad, Gerald M Rubin, Vivek Jayaraman
Publikováno v:
eLife, Vol 10 (2021)
Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study. In insects, recurrent circuit dynamics in a brain region called the central complex (CX) ena
Externí odkaz:
https://doaj.org/article/a51912fc28054783ad9182b56a3a6ef3
Autor:
Tiberiu Tesileanu, Mary M Conte, John J Briguglio, Ann M Hermundstad, Jonathan D Victor, Vijay Balasubramanian
Publikováno v:
eLife, Vol 9 (2020)
Previously, in Hermundstad et al., 2014, we showed that when sampling is limiting, the efficient coding principle leads to a ‘variance is salience’ hypothesis, and that this hypothesis accounts for visual sensitivity to binary image statistics. H
Externí odkaz:
https://doaj.org/article/0d00073e7af34c77a68a26c4d8fbdfce
Autor:
Wiktor F Młynarski, Ann M Hermundstad
Publikováno v:
eLife, Vol 7 (2018)
Behavior relies on the ability of sensory systems to infer properties of the environment from incoming stimuli. The accuracy of inference depends on the fidelity with which behaviorally relevant properties of stimuli are encoded in neural responses.
Externí odkaz:
https://doaj.org/article/e239b4d8ffaf4d5c9db6c13ccfbb4d7f
Autor:
Tzuhsuan Ma, Ann M Hermundstad
When foraging in dynamic and uncertain environments, animals can benefit from basing their decisions on smart inferences about hidden properties of the world. Typical theoretical approaches to understand the strategies that animals use in such settin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f902548e0c0b6933d74896abe89a1881
https://doi.org/10.1101/2022.08.10.503471
https://doi.org/10.1101/2022.08.10.503471
Autor:
Ann M Hermundstad, Wiktor Mlynarski
Publikováno v:
Nature Neuroscience. 24:998-1009
Animals exhibit remarkable behavioral flexibility, robustly performing demanding tasks —such as searching for food or avoiding predators— in a variety of different contextual and environmental conditions. However, the demands that detecting and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d53f5bd155cc13d77a7edd76d9c9fc7
https://doi.org/10.1038/s41593-021-00846-0
https://doi.org/10.1038/s41593-021-00846-0
To flexibly navigate, many animals rely on internal spatial representations that persist when the animal is standing still in darkness, and update accurately by integrating the animal’s movements in the absence of localizing sensory cues. Theories
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::792c2627b53f01952872b94b351dca82
https://doi.org/10.1101/2022.05.23.493052
https://doi.org/10.1101/2022.05.23.493052