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Face processing in the temporal lobe
2022Face perception is a socially important but complex process with many stages and many facets. There is substantial evidence from many sources that it involves a large extent of the temporal lobe, from the ventral occipitotemporal cortex and superior temporal sulci to anterior temporal regions.
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Temporal pattern processing in songbirds
Current Opinion in Neurobiology, 2014Understanding how the brain perceives, organizes and uses patterned information is directly related to the neurobiology of language. Given the present limitations, such knowledge at the scale of neurons, neural circuits and neural populations can only come from non-human models, focusing on shared capacities that are relevant to language processing ...
Jordan A, Comins, Timothy Q, Gentner
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Processing of uncertainty temporal relations
Journal of Computer Science and Technology, 1996A kind of classification on temporal relations of propositions is presented. By introducing temporal approaching relation, a new temporal logic based on time-point and time-interval is proposed, which can describe uncertain temporal relations. Finally, some properties of temporal proposition under uncertain relations are proposed.
Shaochun Zhong, Dayou Liu
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Temporal Information Processing and Psychopathology
Perceptual and Motor Skills, 1975Prior studies showed impaired temporal discrimination by schizophrenic and neurologic patients reflected in decreased information transmission. This report describes a study of 8 more carefully diagnosed schizophrenic patients, separating those with neurologic signs.
P, Crain, S, Goldstone, W T, Lhamon
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Clustering of temporal event processes
International Journal of Geographical Information Science, 2013A temporal point process is a sequence of points, each representing the occurrence time of an event. Each temporal point process is related to the behavior of an entity. As a result, clustering of temporal point processes can help differentiate between entities, thereby revealing patterns of behaviors.
Tao Pei +4 more
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Stochastic processes and temporal rules
2006 IEEE International Conference on Granular Computing, 2006This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from an up-to-date temporal data keeps its cofidence/support on future data". A possible solution is given by using, on the one hand, a temporal logic formalism which allows the definition of the main notions (event ...
Paul Cotofrei, Kilian Stoffel
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Verifying temporal properties of processes
2006Many interesting concurrent systems have infinite state spaces: examples include concurrent while programs; Petri Nets; CCS (or CSP) processes with value passing. All of these examples can be interpreted operationally as infinite labelled transition systems, structures of the form (7 ~, { --% : a E L }) where 7 ~ is a set of points (states, markings ...
Julian C. Bradfield, Colin Stirling
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Temporal processing with volatile memristors
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013Short-term synaptic plasticity (STP) is a mechanism identified in brain systems according to which the effective connection strength (synaptic strength) between two neurons varies dynamically with recent communication history. As a consequence, the amplitude of the post-synaptic potential in response to a single pre-synaptic event, so-called “spike ...
Radu Berdan +6 more
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Temporal Information Processing in Schizophrenia
Archives of General Psychiatry, 1973Time judgment by unselected schizophrenic patients was studied with measures of potential and transmitted information. Schizophrenic and healthy subjects judged lights or sounds as more or less than a clock second, or as long or short with category scales using two ranges of durations.
W T, Lhamon, S, Goldstone
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2014
This chapter introduces approaches to the processing of time-related constructs in natural language. It covers information extraction systems that can interpret time expressions and create a chronology of events in a narrative, as well as systems that can generate such expressions and render an ordering of events in a fluent discourse.
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This chapter introduces approaches to the processing of time-related constructs in natural language. It covers information extraction systems that can interpret time expressions and create a chronology of events in a narrative, as well as systems that can generate such expressions and render an ordering of events in a fluent discourse.
openaire +1 more source