1. Presented by: Rezvan Kianifar January 2009
Prediction in Human
Presented by: Rezvan Kianifar
January 2009

2. Syllabus Prediction Levels senasorimotor level cognitive level
Related brain regions at cognitive level
Characteristics which emerge by prediction
Discussion

3. Motor prediction
biological systems need to be able to predict the sensory
consequences of their actions to be capable of rapid,
robust, and adaptive behavior.
Control Strategies:
direct directly maps sensations to actions, without meaningful
intermediate steps and, in particular, without any
attempts to explicitly model the movement system or task.
indirect explicitly employs multiple information-processing steps to
build the control policy, and in particular it employs internal
models.

4. What is internal model?
Internal models are neural substrates that model
input/output relationships and their inverses of
kinematic and dynamic processes of the motor
system and the environment

5. Why seek for internal model?
Helmholtz observation
Holst and Sperry 1950s(efferent copy)
Other studies

6. Motor Prediction Influences
State estimation
Sensory confirmation and cancellation
Context estimation

7. State estimation

8. Sensory confirmation and cancellation

9. Context estimation

10. Mental practice, imitation and social cognition
Forward model is used to predict the sensory outcome of an action, without actually performing the action.
In perception of action we could usemultiple forward models to
make multiple predictions and, based on the correspondence
between these predictions and the observed behaviour, we could
infer which of our controllers would be used to generate the observed action.
in social interaction, a forward social model could be used to predict the reactions of others to our actions.

11. How to investigate prediction in cognitive level?
Cognitive Tests
FMRI-Functional Magnetic Resonance Imaging

12. Related brain regions in cognitive level of prediction
DLPFC- DorsoLateral PreFrontal Cortex
OFC- OrbitoFrontal Cortex
ACC- Anterior Cingulated Cortex

13. DLPFC- DorsoLateral PreFrontal Cortex
DLPFC- DorsoLateral PreFrontal Cortex is known
as a neural substrate for working memory in which
a model of environment could exist

14. OFC- OrbitoFrontal Cortex
OFC provides an updated representation of value
through interactions with other brain areas, such
as the amygdale, which can affect adaptive behavior

15. ACC- Anterior Cingulated Cortex
ACC detects the state of conflict and drives control
processes to resolve the internal conflict. Because of its
anatomical position which receives information from limbic
and prefrontal regions as well as having direct access to the
motor system, it seems to play a key role in monitoring the
outcomes of voluntary choices under uncertainty when the
environment is changing.

16. Midbrain regions
OFC have connections with the amygdala and ventral striatum, both of which have been involved in anticipating the contingencies between environmental stimuli, actions and rewards.
The serial flow of information between the amygdala and ACC is essential for guiding efficient decision making

17. relations

18. Characteristics which emerge by prediction
Prediction: capability of predicting
future properties
Anticipation: mechanisms that use
predictions to improve
other mechanisms including
learning and behavior

19. predictive capabilities
(1) the types of predictions represented,
(2) the quality or accuracy of the predictions,
(3) the time scales of the predictions,
(4) the generality of the predictions,
(5) the capability of incorporating context information and action
decision information for improving predictions,
(6) the focusing and attentional capabilities of prediction
generation,
(7) the capability of predicting inner states .

20. Anticipatory capabilities
(I) learning,
(II) attention,
(III) action initiation and control,
(IV) decision making.

21. Epigenetic Robotic
goal of Epigenetic robotics is to understand, and model, the role of development in the emergence of increasingly complex cognitive structures from physical and social interaction.
It is being driven by two main, somewhat parallel, motivations:
(a) to understand the brain by constructing embodied
systems the so-called synthetic approach,
(b) to build better systems by learning from human
studies.

22. Discussion 1- Prediction is a main characteristic of human activity.
2-new modeling approaches should consider prediction aspect of human behavior (model-based control algorithms such as MPC or RL are good candidates)
3- neural substrates under brain prediction is not well understood but it seems it is better to consider a general framework which covers all prediction levels.

23. thank you

24. References
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25. References
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