Humans process language with their neurons. Memory in neurons is supported by neural firing, and short and long-term synaptic weight change; the emergent behaviour of neurons, synchronous firing and cell assembly dynamics, is also a form of memory. As the language signal moves to later stages, it is processed with different mechanisms that are slower but more persistent
Prior language input is not lost but integrated with the current input. This principle is demonstrat...
How can one conceive of the neuronal implementation of the processing model we proposed in our targe...
In this paper evidence is provided that individual neurons possess language, and that the basic unit...
Recent advances in deep neural language models combined with the capacity of large scale datasets ha...
This paper is based on our previous work on neural coding. It is a self-organized model supported by...
Language processing involves the ability to store and integrate pieces of information in working mem...
Contains fulltext : 207580pre.pdf (preprint version ) (Open Access)Language produc...
Several major innovations in artificial intelligence (AI) (e.g. convolutional neural networks, exper...
This commentary raises two issues: (1) Language processing is hastened not only by internal pressure...
Communicative interactions involve a kind of procedural knowledge that is used by the human brain fo...
In this didactic and information-packed article by Friederici and Singer (2015), entitled Grounding ...
Item does not contain fulltextThe human capacity to acquire language is an outstanding scientific ch...
Abstract. Human brain is exceptionally complex and simple at the same time. Its extremely composite ...
As a highly consequential biological trait, a memory “bottleneck” cannot escape selection pressures....
Neural networks are successfully used to imitate and model cognitive processes. However, to provide ...
Prior language input is not lost but integrated with the current input. This principle is demonstrat...
How can one conceive of the neuronal implementation of the processing model we proposed in our targe...
In this paper evidence is provided that individual neurons possess language, and that the basic unit...
Recent advances in deep neural language models combined with the capacity of large scale datasets ha...
This paper is based on our previous work on neural coding. It is a self-organized model supported by...
Language processing involves the ability to store and integrate pieces of information in working mem...
Contains fulltext : 207580pre.pdf (preprint version ) (Open Access)Language produc...
Several major innovations in artificial intelligence (AI) (e.g. convolutional neural networks, exper...
This commentary raises two issues: (1) Language processing is hastened not only by internal pressure...
Communicative interactions involve a kind of procedural knowledge that is used by the human brain fo...
In this didactic and information-packed article by Friederici and Singer (2015), entitled Grounding ...
Item does not contain fulltextThe human capacity to acquire language is an outstanding scientific ch...
Abstract. Human brain is exceptionally complex and simple at the same time. Its extremely composite ...
As a highly consequential biological trait, a memory “bottleneck” cannot escape selection pressures....
Neural networks are successfully used to imitate and model cognitive processes. However, to provide ...
Prior language input is not lost but integrated with the current input. This principle is demonstrat...
How can one conceive of the neuronal implementation of the processing model we proposed in our targe...
In this paper evidence is provided that individual neurons possess language, and that the basic unit...
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