802 research outputs found
Shaping dynamical neural computations using spatiotemporal constraints
Dynamics play a critical role in computation. The principled evolution of
states over time enables both biological and artificial networks to represent
and integrate information to make decisions. In the past few decades,
significant multidisciplinary progress has been made in bridging the gap
between how we understand biological versus artificial computation, including
how insights gained from one can translate to the other. Research has revealed
that neurobiology is a key determinant of brain network architecture, which
gives rise to spatiotemporally constrained patterns of activity that underlie
computation. Here, we discuss how neural systems use dynamics for computation,
and claim that the biological constraints that shape brain networks may be
leveraged to improve the implementation of artificial neural networks. To
formalize this discussion, we consider a natural artificial analog of the brain
that has been used extensively to model neural computation: the recurrent
neural network (RNN). In both the brain and the RNN, we emphasize the common
computational substrate atop which dynamics occur -- the connectivity between
neurons -- and we explore the unique computational advantages offered by
biophysical constraints such as resource efficiency, spatial embedding, and
neurodevelopment.Comment: 7 figures, 18 page
2021 Adult Foster Home Resident and Community Characteristics Report on Adult Foster Homes
This report describes results from an annual study of Oregon adult foster homes (AFH). Data contained in this report include home and owner characteristics; monthly charges and payment sources; and resident characteristics, personal and health-related needs. The study’s purpose was to collect and report data that can inform and advise policymakers, state and county agency staff, aging advocates and AFH owners about the status of AFHs in Oregon. These data were collected between December 2020 and February 2021. This report constitutes the first year during the COVID-19 pandemic that these annual data were collected
2021 Community-Based Care: Resident and Community Characteristics Report on Assisted Living, Residential Care, and Memory Care Communities
This report summarizes findings from the 7th annual study of Oregon assisted living (AL) and residential care (RC) facilities, including memory care (MC) communities. The purpose of this report is to inform Oregon Department of Human Services (ODHS), providers, consumers, and other interested parties about this sector of long-term services and supports (LTSS) and ensure data-informed policy decisions. The report contains information about various resident and community characteristics, including capacity and supply, resident demographics and health services use, and community services, policies, fees, and staffing. These data were collected between winter 2020 and spring 2021. This report constitutes the first year during the COVID-19 pandemic that these annual data were collected
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