Browsing by Subject "Spiking neural networks"
Now showing items 1-6 of 6
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Conference Object
Computational modeling of visual selective attention
(2011)An overview of a nerocomputational model of visual selective attention that has been properly implemented is presented in this abstract. Visual selective attention is a fundamental function of human cognition and a highly ...
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Article
A generic model of visual selective attention
(2014)We present a computational model for the understanding of the fundamental principles of visual selective attention. The model has important medical, social and engineering applications that could benefit the general public. ...
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Conference Object
A neurocomputational model of visual selective attention for human computer interface applications
(2011)An overview of a neurocomputational model of visual selective attention that has been properly implemented is presented in this report. We briefly explain the basic components and neural interactions that comprise the model ...
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Article
Selective Attention and Consciousness: Investigating Their Relation Through Computational Modelling
(2011)The present study aimed at investigating the possible connection between conscious awareness and attention through the implementation of a neurocomputational model of visual selective attention. The development of the model ...
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Article
Self-control with spiking and non-spiking neural networks playing games
(2010)Self-control can be defined as choosing a large delayed reward over a small immediate reward, while precommitment is the making of a choice with the specific aim of denying oneself future choices. Humans recognise that ...
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Article
Spiking neural networks with different reinforcement learning (RL) schemes in a multiagent setting
(2010)This paper investigates the effectiveness of spiking agents when trained with reinforcement learning (RL) in a challenging multiagent task. In particular, it explores learning through rewardmodulated spike-timing dependent ...