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Open AccessJournal ArticleDOI

Principles of Temporal Processing Across the Cortical Hierarchy.

TLDR
It is concluded that multiple consecutive stages of cortical processing can be understood to perform temporal pooling, temporal normalization and temporal pattern completion.
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This article is published in Neuroscience.The article was published on 2018-10-01 and is currently open access. It has received 71 citations till now. The article focuses on the topics: Pattern completion.

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Citations
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Journal ArticleDOI

Atypical intrinsic neural timescale in autism.

TL;DR: This study shows that functional and structural atypicality in local brain areas is linked to higher-order cognitive symptoms in autism.
Journal ArticleDOI

Constructing and Forgetting Temporal Context in the Human Cerebral Cortex.

TL;DR: It is found that when two groups of participants heard the same sentence in a narrative, preceded by different contexts, the neural responses of each group were initially different but gradually fell into alignment.
Journal ArticleDOI

The frequency gradient of human resting-state brain oscillations follows cortical hierarchies.

TL;DR: The result indicates that the dominant frequency changes systematically and globally along the spatial and hierarchical gradients and establishes a new structure-function relationship pertaining to brain oscillations as a core organization that may underlie hierarchical specialization in the brain.
Journal ArticleDOI

Movies and narratives as naturalistic stimuli in neuroimaging

TL;DR: Using movies and narratives as naturalistic stimuli in human neuroimaging studies has yielded significant advances in understanding of cognitive and emotional functions, including discovering a cortical hierarchy of temporal receptive windows, which supports processing of dynamic information that accumulates over several time scales.
References
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Journal ArticleDOI

Neural networks and physical systems with emergent collective computational abilities

TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.
Journal ArticleDOI

A fast learning algorithm for deep belief nets

TL;DR: A fast, greedy algorithm is derived that can learn deep, directed belief networks one layer at a time, provided the top two layers form an undirected associative memory.
Journal ArticleDOI

Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

TL;DR: This method is used to examine receptive fields of a more complex type and to make additional observations on binocular interaction and this approach is necessary in order to understand the behaviour of individual cells, but it fails to deal with the problem of the relationship of one cell to its neighbours.
Book ChapterDOI

Visualizing and Understanding Convolutional Networks

TL;DR: A novel visualization technique is introduced that gives insight into the function of intermediate feature layers and the operation of the classifier in large Convolutional Network models, used in a diagnostic role to find model architectures that outperform Krizhevsky et al on the ImageNet classification benchmark.
Journal ArticleDOI

A model of saliency-based visual attention for rapid scene analysis

TL;DR: In this article, a visual attention system inspired by the behavior and the neuronal architecture of the early primate visual system is presented, where multiscale image features are combined into a single topographical saliency map.
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