In conditional discriminative choice learning, one learns the relations between discriminative/cue stimuli, associated choices, and their outcomes. When each correct cue-choice occurrence is followed by a cue-unique trial outcome (differential outcomes, DO, procedure), learning is faster and more accurate than when all correct cue-choice occurrences are followed by a common outcome (CO procedure)—differential outcomes effect (DOE). Superior DO performance is theorized to be mediated by the additional learning of cue-unique outcome expectations that "enrich" the prospective code available over the delay between cue and choice. We anticipated that such learned expectations comprise representations of expected outcomes. Here, we conducted an e...
How do expectations about the identity of a forthcoming visual stimulus influence the neural mechani...
Avoiding repeated mistakes and learning to reinforce rewarding decisions is critical for human survi...
Contains fulltext : 179643.pdf (publisher's version ) (Open Access)Optimal decisio...
In conditional discriminative choice learning, one learns the relations between discriminative/cue s...
[Extract] In conditional discrimination choice tasks, one learns to make a choice conditionally base...
[Extract] This study examined a form of prospection that involved minimal self-projection. The condi...
The functional-neuroanatomical substrates for short-term retrospective versus prospective memory pro...
Abstract As we gather noisy sensory information from the environment, prior knowledge about the like...
A central challenge of systems neuroscience is to understand how we make decisions based on informat...
SummaryPerceptual inference is biased by foreknowledge about what is probable or possible. How prior...
In an uncertain environment, probabilities are key to predicting future events and making adaptive c...
Humans make choices every day, which are often intended to lead to desirable outcomes. While we ofte...
Incidental learning affords a behavioural advantage when sensory information matches regularities th...
Recent findings indicate that individuals overweight small probability events when given full descri...
Accurate associative learning is often hindered by confirmation bias and success-chasing, which toge...
How do expectations about the identity of a forthcoming visual stimulus influence the neural mechani...
Avoiding repeated mistakes and learning to reinforce rewarding decisions is critical for human survi...
Contains fulltext : 179643.pdf (publisher's version ) (Open Access)Optimal decisio...
In conditional discriminative choice learning, one learns the relations between discriminative/cue s...
[Extract] In conditional discrimination choice tasks, one learns to make a choice conditionally base...
[Extract] This study examined a form of prospection that involved minimal self-projection. The condi...
The functional-neuroanatomical substrates for short-term retrospective versus prospective memory pro...
Abstract As we gather noisy sensory information from the environment, prior knowledge about the like...
A central challenge of systems neuroscience is to understand how we make decisions based on informat...
SummaryPerceptual inference is biased by foreknowledge about what is probable or possible. How prior...
In an uncertain environment, probabilities are key to predicting future events and making adaptive c...
Humans make choices every day, which are often intended to lead to desirable outcomes. While we ofte...
Incidental learning affords a behavioural advantage when sensory information matches regularities th...
Recent findings indicate that individuals overweight small probability events when given full descri...
Accurate associative learning is often hindered by confirmation bias and success-chasing, which toge...
How do expectations about the identity of a forthcoming visual stimulus influence the neural mechani...
Avoiding repeated mistakes and learning to reinforce rewarding decisions is critical for human survi...
Contains fulltext : 179643.pdf (publisher's version ) (Open Access)Optimal decisio...