Neural blackboard architectures of combinatorial structures in cognition

F Van der Velde, M De Kamps - Behavioral and Brain Sciences, 2006 - cambridge.org
Human cognition is unique in the way in which it relies on combinatorial (or compositional)
structures. Language provides ample evidence for the existence of combinatorial structures …

Brain embodiment of syntax and grammar: Discrete combinatorial mechanisms spelt out in neuronal circuits

F Pulvermüller - Brain and language, 2010 - Elsevier
Neuroscience has greatly improved our understanding of the brain basis of abstract lexical
and semantic processes. The neuronal devices underlying words and concepts are …

Thinking in circuits: toward neurobiological explanation in cognitive neuroscience

F Pulvermüller, M Garagnani, T Wennekers - Biological cybernetics, 2014 - Springer
Cognitive theory has decomposed human mental abilities into cognitive (sub) systems, and
cognitive neuroscience succeeded in disclosing a host of relationships between cognitive …

[HTML][HTML] Human-inspired autonomous driving: A survey

A Plebe, H Svensson, S Mahmoud, M Da Lio - Cognitive Systems …, 2024 - Elsevier
Autonomous vehicles promise to revolutionize society and improve the daily life of many,
making them a coveted aim for a vast research community. To enable complex reasoning in …

Dimensions of neural-symbolic integration-a structured survey

S Bader, P Hitzler - arXiv preprint cs/0511042, 2005 - arxiv.org
Research on integrated neural-symbolic systems has made significant progress in the
recent past. In particular the understanding of ways to deal with symbolic knowledge within …

A review of cell assemblies

CR Huyck, PJ Passmore - Biological cybernetics, 2013 - Springer
Since the cell assembly (CA) was hypothesised, it has gained substantial support and is
believed to be the neural basis of psychological concepts. A CA is a relatively small set of …

Vector symbolic architectures are a viable alternative for Jackendoff's challenges

RW Gayler - Behavioral and Brain Sciences, 2006 - cambridge.org
The authors, on the basis of brief arguments, have dismissed tensor networks as a viable
response to Jackendoff's challenges. However, there are reasons to believe that …

Creating hierarchical categories using cell assemblies

CR Huyck - Connection science, 2007 - Taylor & Francis
Highly recurrent neural networks can learn reverberating circuits called Cell Assemblies
(CAs). These networks can be used to categorize input, and this paper explores the ability of …

A new approach to higher-level information fusion using associative learning in semantic networks of spiking neurons

NA Bomberger, AM Waxman, BJ Rhodes, NA Sheldon - Information Fusion, 2007 - Elsevier
This paper presents a new approach to higher-level information fusion in which knowledge
and data are represented using semantic networks composed of coupled spiking neuron …

Multiple instantiation and rule mediation in SHRUTI

C Wendelken, L Shastri - Connection Science, 2004 - Taylor & Francis
The SHRUTI model demonstrates how a neurally motivated connectionist architecture can
support encoding of complex evidential and relational knowledge and perform rapid …