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pro vyhledávání: '"Howard, Marc W."'
Working memory $\unicode{x2013}$ the ability to remember recent events as they recede continuously into the past $\unicode{x2013}$ requires the ability to represent any stimulus at any time delay. This property requires neurons coding working memory
Externí odkaz:
http://arxiv.org/abs/2409.20484
Autor:
Daniels, Bryan C., Howard, Marc W.
Many cognitive models, including those for predicting the time of future events, can be mapped onto a particular form of neural representation in which activity across a population of neurons is restricted to manifolds that specify the Laplace transf
Externí odkaz:
http://arxiv.org/abs/2406.04545
Firing across populations of neurons in many regions of the mammalian brain maintains a temporal memory, a neural timeline of the recent past. Behavioral results demonstrate that people can both remember the past and anticipate the future over an ana
Externí odkaz:
http://arxiv.org/abs/2302.10163
Autor:
Howard, Marc W.
The idea that memory behavior relies on a gradually-changing internal state has a long history in mathematical psychology. This chapter traces this line of thought from statistical learning theory in the 1950s, through distributed memory models in th
Externí odkaz:
http://arxiv.org/abs/2201.01796
Human learners can readily understand speech, or a melody, when it is presented slower or faster than usual. Although deep convolutional neural networks (CNNs) are extremely powerful in extracting information from time series, they require explicit t
Externí odkaz:
http://arxiv.org/abs/2107.04616
Extracting temporal relationships over a range of scales is a hallmark of human perception and cognition -- and thus it is a critical feature of machine learning applied to real-world problems. Neural networks are either plagued by the exploding/vani
Externí odkaz:
http://arxiv.org/abs/2104.04646
In recent years it has become clear that the brain maintains a temporal memory of recent events stretching far into the past. This paper presents a neurally-inspired algorithm to use a scale-invariant temporal representation of the past to predict a
Externí odkaz:
http://arxiv.org/abs/2101.10953
Autor:
Howard, Marc W., Hasselmo, Michael E.
Memory for the past makes use of a record of what happened when---a function over past time. Time cells in the hippocampus and temporal context cells in the entorhinal cortex both code for events as a function of past time, but with very different re
Externí odkaz:
http://arxiv.org/abs/2003.11668
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