Cortex and Memory: Emergence of a New Paradigm

Fuster, Joaquı́n M.

doi:10.1162/jocn.2009.21280

Cited by 490 publications

(245 citation statements)

References 182 publications

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“…They allow a network to maintain its active state without the need for synaptic modification. There is increasing evidence that cortical reverberation by re-entry is important for working memory (Fuster, 2009;Wang, 1999). We hypothesise that the same is true for language.…”

Section: Baggio and Hagoortmentioning

confidence: 71%

The balance between memory and unification in semantics: A dynamic account of the N400

Baggio

Hagoort

2011

Language and Cognitive Processes

200

164

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At least three cognitive brain components are necessary in order for us to be able to produce and comprehend language: a Memory repository for the lexicon, a Unification buffer where lexical information is combined into novel structures, and a Control apparatus presiding over executive function in language. Here we describe the brain networks that support Memory and Unification in semantics. A dynamic account of their interactions is presented, in which a balance between the two components is sought at each word-processing step. We use the theory to provide an explanation of the N400 effect

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Section: Baggio and Hagoortmentioning

confidence: 71%

The balance between memory and unification in semantics: A dynamic account of the N400

Baggio

Hagoort

2011

Language and Cognitive Processes

200

164

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“…Studies of brain damage, as well as functional imaging studies of healthy subjects have evidenced the existence of dissociable neural systems that are specialized in representing knowledge of different conceptual domains [42][43][44]: living or non-living things, man-made tools, vegetables, animals, etc. On the other hand, micro-electrode recordings have evidenced that memories are physically stored involving distributed and overlapping networks of neurons, where individual neurons participate in more than one memory [9,12,45,46].…”

Section: Memory Networkmentioning

confidence: 99%

Characterizing the complexity of brain and mind networks

Zamora-López

Russo

Gleiser

et al. 2011

Phil. Trans. R. Soc. A.

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Recent studies of brain connectivity and language with methods of complex networks have revealed common features of organization. These observations open a window to better understand the intrinsic relationship between the brain and the mind by studying how information is either physically stored or mentally represented. In this paper, we review some of the results in both brain and linguistic networks, and we illustrate how modelling approaches can serve to comprehend the relationship between the structure of the brain and its function. On the one hand, we show that brain and neural networks display dynamical behaviour with optimal complexity in terms of a balance between their capacity to simultaneously segregate and integrate information. On the other hand, we show how principles of neural organization can be implemented into models of memory storage and recognition to reproduce spontaneous transitions between memories, resembling phenomena of memory association studied in psycholinguistic experiments.

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“…The coarse picture that one gets from long-distance fasciculus organization in the brain is that of a globally symmetrical pattern, in accordance with the fact that the right and left hemispheres have comparable organization in terms of cortical hierarchy and cognitive network organization (Mesulam 2000;Fuster 2009). Only a few investigations have reported WM asymmetries, and all focused on the arcuate fasciculus, which is known to support language on the left, and on the cortico-spinal tract that connects the motoneurons to the medulla.…”

Section: Intra-hemispheric Structural Connectivitymentioning

confidence: 65%