Zobrazeno 1 - 10
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pro vyhledávání: '"Ma, Wei Ji"'
Autor:
Pohl, Stephan, Walker, Edgar Y., Barack, David L., Lee, Jennifer, Denison, Rachel N., Block, Ned, Meyniel, Florent, Ma, Wei Ji
This paper develops a systematic framework for the evidence neuroscientists use to establish whether a neural response represents a feature. Researchers try to establish that the neural response is (1) sensitive and (2) specific to the feature, (3) i
Externí odkaz:
http://arxiv.org/abs/2403.14046
Autor:
Schütt, Heiko H., Ma, Wei Ji
A visual system has to learn both which features to extract from images and how to group locations into (proto-)objects. Those two aspects are usually dealt with separately, although predictability is discussed as a cue for both. To incorporate featu
Externí odkaz:
http://arxiv.org/abs/2205.14195
Autor:
Walker, Edgar Y, Pohl, Stephan, Denison, Rachel N, Barack, David L, Lee, Jennifer, Block, Ned, Ma, Wei Ji, Meyniel, Florent
The study of the brain's representations of uncertainty is a central topic in neuroscience. Unlike most quantities of which the neural representation is studied, uncertainty is a property of an observer's beliefs about the world, which poses specific
Externí odkaz:
http://arxiv.org/abs/2202.04324
Autor:
Ma, Wei Ji, Peters, Benjamin
What might sound like the beginning of a joke has become an attractive prospect for many cognitive scientists: the use of deep neural network models (DNNs) as models of human behavior in perceptual and cognitive tasks. Although DNNs have taken over m
Externí odkaz:
http://arxiv.org/abs/2005.02181
The fate of scientific hypotheses often relies on the ability of a computational model to explain the data, quantified in modern statistical approaches by the likelihood function. The log-likelihood is the key element for parameter estimation and mod
Externí odkaz:
http://arxiv.org/abs/2001.03985
Autor:
de Silva, Nuwan, Ma, Wei Ji
In natural perception, different items (objects) in a scene are rarely equally relevant to the observer. The brain improves performance by directing attention to the most relevant items, for example the ones most likely to be probed. For a general se
Externí odkaz:
http://arxiv.org/abs/1802.06456
Autor:
Acerbi, Luigi, Ma, Wei Ji
Computational models in fields such as computational neuroscience are often evaluated via stochastic simulation or numerical approximation. Fitting these models implies a difficult optimization problem over complex, possibly noisy parameter landscape
Externí odkaz:
http://arxiv.org/abs/1705.04405
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