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IAT
2010
IEEE
10 years 24 days ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
10 years 7 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
ISPD
2005
ACM
239views Hardware» more  ISPD 2005»
10 years 8 months ago
Mapping algorithm for large-scale field programmable analog array
Modern advances in reconfigurable analog technologies are allowing field-programmable analog arrays (FPAAs) to dramatically grow in size, flexibility, and usefulness. With thes...
I. Faik Baskaya, Sasank Reddy, Sung Kyu Lim, Tyson...
BIOSTEC
2011
247views Healthcare» more  BIOSTEC 2011»
9 years 2 months ago
Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology
Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, ...
IJON
2000
85views more  IJON 2000»
10 years 2 months ago
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
Michael Howe, Risto Miikkulainen
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