Show Tag: normative

Select Other Tags

Decision theoretical approaches have been used successfully to explain both behavior and neural activities in sensorimotor tasks.

Neural responses in parietal cortex have been suggested to reflect expected reward.

Sensorimotor processing may be interpreted as decision making. Therefore, it makes sense to look for representation of expected reward in neural activities.

Multisensory integration is a way to reduce uncertainty. This is both a normative argument and it states the evolutionary advantage of using multisensory integration.

Fetsch et al. provide some sort of normative motivation to the model due to Ohshiro et al.

Anastasio et al. present a model of the response properties of multi-sensory SC neurons which explains enhancement, depression, and super-addititvity using Bayes' rule: If one assumes that a neuron integrates its input to infer the posterior probability of a stimulus source being present in its receptive field, then these effects arise naturally.

Computational theories of the brain account not only for how it works, but why it should work that way.

Nature has had millions of years to optimize the performance of cognitive systems. It is therefore reasonable to assume that they perform optimally wrt. natural tasks and natural conditions.

Bayesian theory provides a framework to determine optimal strategies. Therefore, it makes sense to operate under the assumption that the processes we observe in nature can be understood as implementations of Bayes-optimal strategies.