[图书][B] Cognitive neuroscience of language
D Kemmerer - 2022 - taylorfrancis.com
Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …
pedagogically practical survey of the most important developments in this exciting field. It …
[HTML][HTML] Reservoir computing properties of neural dynamics in prefrontal cortex
P Enel, E Procyk, R Quilodran… - PLoS computational …, 2016 - journals.plos.org
Primates display a remarkable ability to adapt to novel situations. Determining what is most
pertinent in these situations is not always possible based only on the current sensory inputs …
pertinent in these situations is not always possible based only on the current sensory inputs …
Symbol emergence in robotics: a survey
Humans can learn a language through physical interaction with their environment and
semiotic communication with other people. It is very important to obtain a computational …
semiotic communication with other people. It is very important to obtain a computational …
Narrative constructions for the organization of self experience: Proof of concept via embodied robotics
It has been proposed that starting from meaning that the child derives directly from shared
experience with others, adult narrative enriches this meaning and its structure, providing …
experience with others, adult narrative enriches this meaning and its structure, providing …
Experimental and numerical demonstration of hierarchical time-delay reservoir computing based on cascaded VCSELs with feedback and multiple injections
X Guo, S Xiang, X Cao, B Gu - Science China Information Sciences, 2024 - Springer
In this paper, we propose and demonstrate experimentally and numerically a hierarchical
time-delay optical reservoir computing (RC) system based on cascaded vertical-cavity …
time-delay optical reservoir computing (RC) system based on cascaded vertical-cavity …
A spiking neurocomputational model of high-frequency oscillatory brain responses to words and pseudowords
Experimental evidence indicates that neurophysiological responses to well-known
meaningful sensory items and symbols (such as familiar objects, faces, or words) differ from …
meaningful sensory items and symbols (such as familiar objects, faces, or words) differ from …
[HTML][HTML] Implementing associative memories by Echo State Network for the applications of natural language processing
H Kage - Machine Learning with Applications, 2023 - Elsevier
Abstract This paper presents Echo State Network (ESN) based associative memories and
their applications to English words. Among the papers describing ESN applications in …
their applications to English words. Among the papers describing ESN applications in …
[PDF][PDF] Neural network models of language acquisition and processing
STEFAN L. FRANK, PADRAIC MONAGHAN, AND CHARA TSOUKALA to (aspects of) the
statistical structure of input exam ples without mapping to target outputs (eg, discovery of …
statistical structure of input exam ples without mapping to target outputs (eg, discovery of …
A recurrent neural network for multiple language acquisition: Starting with english and french
How humans acquire language, and in particular two or more different languages with the
same neural computing substrate, is still an open issue. To address this issue we suggest to …
same neural computing substrate, is still an open issue. To address this issue we suggest to …
Cortico-striatal origins of reservoir computing, mixed selectivity, and higher cognitive function
PF Dominey - Reservoir Computing: Theory, Physical …, 2021 - Springer
The computational richness and complexity of recurrent neural networks is well known, and
has yet to be fully exploited and understood. It is interesting that in this context, one of the …
has yet to be fully exploited and understood. It is interesting that in this context, one of the …