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Results 11 - 20
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1,406
The perceptual magnet effect as an emergent property of neural map formation
- Journal of the Acoustical Society of America
, 1996
"... The perceptual magnet effect is one of the earliest known language-specific phenomena arising in infant speech development. The effect is characterized by a warping of perceptual space near phonemic category centers. Previous explanations have been formulated within the theoretical framework of cogn ..."
Abstract
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Cited by 111 (7 self)
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literature: (1) sensory experience guides language-specific development of an auditory neural map, and (2) a population vector can predict psychological phenomena based on map cell activities. These hypotheses are realized in a selforganizing neural network model. The magnet effect arises in the model from
Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
- IEEE Trans. Biomed. Eng
, 1997
"... Abstract—A spatial filtering method for localizing sources of brain electrical activity from surface recordings is described and analyzed. The spatial filters are implemented as a weighted sum of the data recorded at different sites. The weights are chosen to minimize the filter output power subject ..."
Abstract
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Cited by 148 (4 self)
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power as a function of location to obtain a neural activity index map. Locations of source activity correspond to maxima in the neural activity index map. The method does not require any prior assumptions about the number of active sources of their geometry because it exploits the spatial covariance
A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells
- Journal of Neuroscience
, 1998
"... The problem of predicting the position of a freely foraging rat based on the ensemble firing patterns of place cells recorded from the CA1 region of its hippocampus is used to develop a two-stage statistical paradigm for neural spike train decoding. In the first,or encoding stage,place cell spiking ..."
Abstract
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Cited by 132 (13 self)
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The problem of predicting the position of a freely foraging rat based on the ensemble firing patterns of place cells recorded from the CA1 region of its hippocampus is used to develop a two-stage statistical paradigm for neural spike train decoding. In the first,or encoding stage,place cell spiking
Patent Overlay Mapping: Visualizing Technological Distance
- Journal of the Association for Information Science and Technology
, 2014
"... Abstract This paper presents a new global patent map that represents all technological categories, and a method to locate patent data of individual organizations and technological fields on the global map. This overlay map technique can support competitive intelligence and policy decision-making. T ..."
Abstract
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Cited by 3 (1 self)
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400 IPC categories. The paper overlays nanotechnology-related patenting activities of two companies and two different nanotechnology subfields on the global patent map. The exercise shows the potential of patent overlay maps to visualize technological areas and potentially support decision
Map Overlay Summary Acquisition Behavior Conversions
, 2010
"... Until now, ICSH collected 171 registered active participants from 54 countries plus many other “friends”. Figure: Geographical distribution of STAHY website visitors. Since January 2010 the Google Analytics service was linked to the STAHY website. It was useful to monitor the site visitors. Until no ..."
Abstract
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Until now, ICSH collected 171 registered active participants from 54 countries plus many other “friends”. Figure: Geographical distribution of STAHY website visitors. Since January 2010 the Google Analytics service was linked to the STAHY website. It was useful to monitor the site visitors. Until
Map Displays for Information Retrieval
- Journal of the American Society for Information Science
, 1997
"... The focus of this article is to develop a map display for to stack in the dark, without knowing what stacks that information retrieval. Through an examination of relationships among visual displays, information retrieval, and browsing, advantages of visual displays for informa-tion retrieval are cha ..."
Abstract
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Cited by 90 (1 self)
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neural network’s self-organizing al-this situation, success in finding a book greatly depends on whether we can walk to the right place in the dark (to generate a good query), and whether we know how to gorithm. The map display detects complex relationships adjust our locations until we get to the right
Mapping information flow in sensorimotor networks
- PLoS Computational Biolology, 2(10:e144). (DOI
, 2006
"... Biological organisms continuously select and sample information used by their neural structures for perception and action, and for creating coherent cognitive states guiding their autonomous behavior. Information processing, however, is not solely an internal function of the nervous system. Here we ..."
Abstract
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Cited by 82 (0 self)
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show, instead, how sensorimotor interaction and body morphology can induce statistical regularities and information structure in sensory inputs and within the neural control architecture, and how the flow of information between sensors, neural units, and effectors is actively shaped by the interaction
Mapping Cognition to the Brain Through Neural Interactions
- Memory
, 1999
"... Brain imaging methods, such as positron emission tomography (PET) and functional magnetic resonance imaging (fMRI), provide a unique opportunity to study the neurobiology of human memory. Since these methods can measure most of the brain, it is possible to examine the operations of large-scale neura ..."
Abstract
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Cited by 48 (6 self)
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-scale neural systems and their relation to cognition. Two neuroimaging studies, one concerning working memory and the other episodic memory retrieval, serve as examples of application of two analytic methods that are optimized for the quantification of neural systems, structural equation modeling and partial
Sequence to sequence learning with neural networks
- in Advances in Neural Information Processing Systems, 2014
"... Deep Neural Networks (DNNs) are powerful models that have achieved excel-lent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end-to-end approac ..."
Abstract
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Cited by 76 (7 self)
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Deep Neural Networks (DNNs) are powerful models that have achieved excel-lent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end
An Efficient Map Overlay Algorithm Based on Spatial Access Methods and Computational Geometry
- Proceedings of the International Workshop on DBMS's for Geographic Applications
, 1991
"... Geographic database systems, known as geographic information systems (GISs) particularly among noncomputer scientists, are one of the most important applications of the very active research area named spatial database systems. Additionally to other spatial database systems where query and manipulati ..."
Abstract
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Cited by 6 (0 self)
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and manipulation processing are emphasized, the most important purpose of a GIS is to analyze geographical data. The basic building block for analysis operations in GIS is the operation map overlay. However, available map overlay algorithms suffer from poor performance. In this paper, we present an efficient map
Results 11 - 20
of
1,406
