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IAT
2010
IEEE
13 years 1 months 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»
13 years 8 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»
13 years 9 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»
12 years 3 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»
13 years 3 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