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» Computational model for amygdala neural networks
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NECO
2007
258views more  NECO 2007»
14 years 11 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
ICIC
2009
Springer
14 years 9 months ago
An Intelligent Prediction Model for Generating LGD Trigger of IEEE 802.21 MIH
IEEE recently standardized 802.21-2008 Media Independent Handover (MIH) standard. MIH is a key milestone toward the evolution of integrated heterogeneous 4G wireless networks. MIH ...
Muhammad Yousaf, Sohail Bhatti, Maaz Rehan, Amir Q...
ECAL
2001
Springer
15 years 4 months ago
The Shifting Network: Volume Signalling in Real and Robot Nervous Systems
This paper presents recent work in computational modelling of diffusing gaseous neuromodulators in biological nervous systems. It goes on to describe work in adaptive autonomous sy...
Phil Husbands, Andrew Philippides, Tom Smith, Mich...
ICIP
2001
IEEE
16 years 1 months ago
A novel hybrid face profile recognition system using the FERET and MUGSHOT databases
Face recognition has established itself as an important subbranch of pattern recognition within the field of computer science. Many state-of-the-art systems have focused on the ta...
Frank Wallhoff, Gerhard Rigoll, Payman Moallem
IJCNN
2008
IEEE
15 years 6 months ago
Stable reciprocal image associations in cognitive systems
—Sensory inputs such as visual images or audio spectrograms can act as symbols in a new cognitive model. The stability of direct image association operators allows the discrete b...
Douglas S. Greer