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pro vyhledávání: '"Behrens, Timothy"'
Neurons in the brain are often finely tuned for specific task variables. Moreover, such disentangled representations are highly sought after in machine learning. Here we mathematically prove that simple biological constraints on neurons, namely nonne
Externí odkaz:
http://arxiv.org/abs/2210.01768
To afford flexible behaviour, the brain must build internal representations that mirror the structure of variables in the external world. For example, 2D space obeys rules: the same set of actions combine in the same way everywhere (step north, then
Externí odkaz:
http://arxiv.org/abs/2209.15563
Autor:
Kurth-Nelson, Zeb, Behrens, Timothy, Wayne, Greg, Miller, Kevin, Luettgau, Lennart, Dolan, Ray, Liu, Yunzhe, Schwartenbeck, Philipp
Replay in the brain has been viewed as rehearsal, or, more recently, as sampling from a transition model. Here, we propose a new hypothesis: that replay is able to implement a form of compositional computation where entities are assembled into relati
Externí odkaz:
http://arxiv.org/abs/2209.07453
Learning and interpreting the structure of the environment is an innate feature of biological systems, and is integral to guiding flexible behaviours for evolutionary viability. The concept of a cognitive map has emerged as one of the leading metapho
Externí odkaz:
http://arxiv.org/abs/2202.01682
Many deep neural network architectures loosely based on brain networks have recently been shown to replicate neural firing patterns observed in the brain. One of the most exciting and promising novel architectures, the Transformer neural network, was
Externí odkaz:
http://arxiv.org/abs/2112.04035
Knowing how the effects of directed actions generalise to new situations (e.g. moving North, South, East and West, or turning left, right, etc.) is key to rapid generalisation across new situations. Markovian tasks can be characterised by a state spa
Externí odkaz:
http://arxiv.org/abs/2006.03355
Autor:
Schwartenbeck, Philipp, Baram, Alon, Liu, Yunzhe, Mark, Shirley, Muller, Timothy, Dolan, Raymond, Botvinick, Matthew, Kurth-Nelson, Zeb, Behrens, Timothy
Publikováno v:
In Cell 26 October 2023 186(22):4885-4897
Autor:
Whittington, James C. R., Muller, Timothy H., Mark, Shirley, Barry, Caswell, Behrens, Timothy E. J.
A central problem to understanding intelligence is the concept of generalisation. This allows previously learnt structure to be exploited to solve tasks in novel situations differing in their particularities. We take inspiration from neuroscience, sp
Externí odkaz:
http://arxiv.org/abs/1805.09042
Akademický článek
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Autor:
Kelly, Cheryl, Carpenter, Dick, Behrens, Timothy K., Field, Julaine, Luna, Carmen, Tucker, Elizabeth, Holeva-Eklund, Whitney M.
Publikováno v:
Health Promotion Practice, 2019 Sep 01. 20(5), 697-702.
Externí odkaz:
https://www.jstor.org/stable/27008676