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COGSR
2011
99views more  COGSR 2011»
12 years 12 months ago
A biologically realistic cleanup memory: Autoassociation in spiking neurons
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
COGSR
2011
77views more  COGSR 2011»
12 years 12 months ago
Learning to use episodic memory
This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...
Nicholas A. Gorski, John E. Laird
COGSR
2011
88views more  COGSR 2011»
12 years 12 months ago
Reactive goal management in a cognitive architecture
Goals play an important role in human cognition. Different aspects of human mind influence the generation of goals they pursue, and the goals guide their behaviors. In psychology...
Dongkyu Choi
COGSR
2011
82views more  COGSR 2011»
12 years 12 months ago
Executive control of retrieval in noun and verb generation
In verb/noun generation experiments, participants have to produce a word associated with a stimulus (usually a noun) and belonging to a given syntactic category (“verb” or “...
Fabio Del Missier, Cristiano Crescentini
COGSR
2011
109views more  COGSR 2011»
12 years 12 months ago
How groups develop a specialized domain vocabulary: A cognitive multi-agent model
We simulate the evolution of a domain vocabulary in small communities. Empirical data show that human communicators can evolve graphical languages quickly in a constrained task (P...
David Reitter, Christian Lebiere