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 …
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 …
and semantic processes. The neuronal devices underlying words and concepts are …
Thinking in circuits: toward neurobiological explanation in cognitive neuroscience
Cognitive theory has decomposed human mental abilities into cognitive (sub) systems, and
cognitive neuroscience succeeded in disclosing a host of relationships between cognitive …
cognitive neuroscience succeeded in disclosing a host of relationships between cognitive …
[HTML][HTML] Human-inspired autonomous driving: A survey
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 …
making them a coveted aim for a vast research community. To enable complex reasoning in …
Dimensions of neural-symbolic integration-a structured survey
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 …
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 …
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 …
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 …
(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 …
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 …
support encoding of complex evidential and relational knowledge and perform rapid …