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Abstract Recurrent Temporal Network(ATRN) Model (Dominey, Hoen,Blanc,Lelekov) (Dominey et al.)
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The model developed during the research and tested against real life neurophysiological
data is focused on the benefits of the particular features of sequential cognition for
human language skills.A model which is based on the functional neuroanatomy
of primate cortex and basal ganglia is constructed with the purpose of cognitive sequence
processing.Then the capabilities of this model in human infant simulation for drawing out
3 important structures of serial, temporal and abstract concepts from language-like sound
sequence input. Current research presented how this model can perform adult level syntactic
understanding by training based on open and closed class words.Two main predictions are made in relevance
to model and their validity has been tested against existent data in literature. Those predictions are
that impaired syntactic processing is associated with non-linguistic cognitive sequencing task relevant
damages and syntactic processing should be involved in non-linguistic cognitive sequence tasks as well as
it is involved in neurophysiological processes. As a result of this research it is concluded that sequential
cognition will provide a valuable pattern in neurophysiological language studies.
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An Integrative Account Model of Language Learning (Rodriguez-Fornells et al.)
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Initial language acquisition at infants and learning second languages at adult level are two different subjects that have been widely scrutinized both by neurophysiologically and neuropsychologically. But still there are much more unknown parts about the brain mechanisms involved in these processes. Several researchers employed brain imaging techniques such as ERPs and magnetic resonance to find out some cues about the interaction of brain regions in achieving and then maintain this complex task of language learning. Current study focuses on this issue in terms of word extraction from speech, figuring out the grammatical construction of them and finally understanding the mechanism which conveys meaning of verbal context. Several other related brain imaging data have been reviewed during the current research and this data is used in the justification of the proposed model with respect to interaction of different paths in the brain for language processing.
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Development of Goal-Specificity in Mirror Neurons (Thill - Svensson - Ziemke)
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A model that gives a biologically plausible mechanism for the development of goal-specificity within some mirror neurons.
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Imitating Neonatal Motor Babbling (Chaminade et al.)
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This model assess the extent of imitation features that can be bootstrapped by combining
a robotic human-like hand with a minimal visual retina using biologically inspired associative network to reproduce an infant’s early visuomotor experiences.
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Imitation experiments on a Robotic Hand (Oztop et al.)
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A model to illustrate the idea that all the imitative learning systems can be broadly seen as learning by self-observation or social learning.
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Visuomotor associated model based on a robotic hand (Chaminade et al.)
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This model combines video capture, low-level hand control server and high-level coordinator to provide a visuomotor associated Hebbian-like learning resulting from self-observation. The model is tested in terms of generalization between agents and generalization between gestures.
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