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CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
15 years 8 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
NN
2006
Springer
15 years 1 months ago
Neural systems implicated in delayed and probabilistic reinforcement
This review considers the theoretical problems facing agents that must learn and choose on the basis of reward or reinforcement that is uncertain or delayed, in implicit or proced...
Rudolf N. Cardinal
123
Voted
IJCNN
2008
IEEE
15 years 8 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 1 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
CEC
2009
IEEE
14 years 11 months ago
A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot
This work proposes a biologically inspired system for the coordination of multiple and possible conflicting behaviours in an autonomous mobile robot, devoted to explore novel scena...
Renan C. Moioli, Patrícia Amâncio Var...