Learning and selective attention

@article{Dayan2000LearningAS,
  title={Learning and selective attention},
  author={Peter Dayan and Sham M. Kakade and P. Read Montague},
  journal={Nature Neuroscience},
  year={2000},
  volume={3 Suppl 1},
  pages={1218-1223}
}
Selective attention involves the differential processing of different stimuli, and has widespread psychological and neural consequences. Although computational modeling should offer a powerful way of linking observable phenomena at different levels, most work has focused on the relatively narrow issue of constraints on processing resources. By contrast, we consider statistical and informational aspects of selective attention, divorced from resource constraints, which are evident in animal… Expand

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References

SHOWING 1-10 OF 57 REFERENCES
Statistical models and sensory attention
Physiological investigations into the neural basis of sensory attention have led to puzzling and contradictory results. Attention can seemingly lead to increased, decreased and unchanged neuralExpand
Converging operations in the study of visual selective attention
This volume provides a guide to current research in visual selective attention, with a focus on the broad theme of converging operations. It presents four approaches: behavioural studies;Expand
Selective attention gates visual processing in the extrastriate cortex.
TLDR
The filtering of irrelevant information from the receptive fields of extrastriate neurons may underlie the ability to identify and remember the properties of a particular object out of the many that may be represented on the retina. Expand
A Theory of Attention: Variations in the Associability of Stimuli with Reinforcement
According to theories of selective attention, learning about a stimulus depends on attending to that stimulus; this is represented in two-stage models by saying that subjects switch in analyzers asExpand
Feature-based attention influences motion processing gain in macaque visual cortex
TLDR
Non-spatial, feature-based attentional modulation of visual motion processing is demonstrated, and it is shown that attention increases the gain of direction-selective neurons in visual cortical area MT without narrowing the direction-tuning curves. Expand
Processing of expected and unexpected events during conditioning and attention: a psychophysiological theory.
TLDR
A unified processing framework is suggested wherein attentional and orienting subsystems coexist in a complementary relationship that controls the adaptive self-organization of internal representations in response to expected and unexpected events. Expand
A Neural Substrate of Prediction and Reward
TLDR
Findings in this work indicate that dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events can be understood through quantitative theories of adaptive optimizing control. Expand
Neural substrates of latent inhibition: the switching model.
  • I. Weiner
  • Psychology, Medicine
  • Psychological bulletin
  • 1990
TLDR
It is proposed that the preexposed stimulus loses its capacity to affect behavior in conditioning, even though it predicts reinforcement, because the hippocampus inhibits the switching mechanism of the nucleus accumbens via the subiculum-accumbens pathway. Expand
Disruption of Decrements in Conditioned Stimulus Processing by Selective Removal of Hippocampal Cholinergic Input
TLDR
Results indicate that cholinergic neurons in the MS/VDB play a role in the regulation of CS processing and implicate both rostral (hippocampal-projecting) and caudal (cortical- projecting) regions of the basal forebrain cholinerg system in the modulation of attention. Expand
External noise distinguishes attention mechanisms
TLDR
A powerful method for identifying and characterizing the effect of attention on performance in visual tasks as due to signal enhancement, distractor exclusion, or internal noise suppression is developed and tested. Expand
...
1
2
3
4
5
...