Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Jonathan W, Pillow"'
Autor:
Alexandre Hyafil, Jaime de la Rocha, Cristina Pericas, Leor N Katz, Alexander C Huk, Jonathan W Pillow
Publikováno v:
eLife, Vol 12 (2023)
Making informed decisions in noisy environments requires integrating sensory information over time. However, recent work has suggested that it may be difficult to determine whether an animal’s decision-making strategy relies on evidence integration
Externí odkaz:
https://doaj.org/article/af88cd727780428ea1999c6c5f11aaec
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
The authors analyze the Allen Institute Brain Observatory Ca2+ imaging data, focusing on mouse visual cortex during locomotive and quiescent states. They find that locomotion increases neural coding fidelity, regardless of whether population activity
Externí odkaz:
https://doaj.org/article/52ef0db29a7c41f9aba63d28b2e5cb43
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 9, p e1010421 (2022)
Imaging neural activity in a behaving animal presents unique challenges in part because motion from an animal's movement creates artifacts in fluorescence intensity time-series that are difficult to distinguish from neural signals of interest. One ap
Externí odkaz:
https://doaj.org/article/7162956abf504098ac0e9a791642ef55
Autor:
Anqi Wu, Samuel A. Nastase, Christopher A. Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118580- (2021)
A key problem in functional magnetic resonance imaging (fMRI) is to estimate spatial activity patterns from noisy high-dimensional signals. Spatial smoothing provides one approach to regularizing such estimates. However, standard smoothing methods ig
Externí odkaz:
https://doaj.org/article/7953409cdc8143cca57ed3d4ffd1a406
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Neural representations in working memory are susceptible to internal noise, which scales with memory load. Here, the authors show that attractor dynamics mitigate the influence of internal noise by pulling memories towards a few stable representation
Externí odkaz:
https://doaj.org/article/7dc7a9bc12354148a2112c3668c27c12
Publikováno v:
Neural Computation. 35:995-1027
An important problem in systems neuroscience is to characterize how a neuron integrates sensory inputs across space and time. The linear receptive field provides a mathematical characterization of this weighting function and is commonly used to quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6011167e97b926d820fd9fe8d59f2b43
https://doi.org/10.1162/neco_a_01584
https://doi.org/10.1162/neco_a_01584
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 11, p e1008261 (2020)
An important problem in computational neuroscience is to understand how networks of spiking neurons can carry out various computations underlying behavior. Balanced spiking networks (BSNs) provide a powerful framework for implementing arbitrary linea
Externí odkaz:
https://doaj.org/article/93f36296e7044bd0922844a2c18a7b17
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:
PLoS Computational Biology, Vol 15, Iss 5, p e1006299 (2019)
The activity of neural populations in the brains of humans and animals can exhibit vastly different spatial patterns when faced with different tasks or environmental stimuli. The degrees of similarity between these neural activity patterns in respons
Externí odkaz:
https://doaj.org/article/94a64e5a1fd847ac9c17e02483efcc14
