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Medical Hypotheses
journal homepage: www.elsevier.com/locate/mehy
Mirror self recognition as a product of forward models; implications for
delusions of body image and visual neglect
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Sean O'Connor
568A Jericho Road, Whittier, NC 28789, United States
ARTICLE INFO
Keywords:
Forward models
Mirror self-recognition
Mirrored-self misidentification
Body identity integrity disorder
Phantom limbs
Gender dysphoria
Sensory attenuation
Prediction error
ABSTRACT
Forward models allow individuals to learn to predict the sensory consequences of their own behavior. Social
forward models have been proposed as an extension of forward models, allowing individuals to learn to predict
the response of another to the individual's own behavior. This article proposes similarly that an individual who
treats their reflection as another may learn to predict the behavior of their reflection, offering a new perspective
on mirror self-recognition and a potential framework through which to investigate visual delusions. Specifically
this article investigates this framework by considering four body image delusions; mirrored-self misidentifica-
tion, body integrity disorder (BID), phantom limbs, and gender dysphoria, and two delusions associated with
visual neglect; somatoparaphrenia and mirror agnosia.
Introduction
Forward models have been proposed as a mechanism for the central
nervous system to differentiate between sensory input from the en-
vironment and sensory input from self-generated behavior [1]. Pick-
ering & Garrod [2] use an example of moving a hand to a target to
demonstrate how a motor act is proposed to consist of two parallel
processes simultaneously triggered by a motor command:
“First, it (the motor command) causes the action implementer to
generate the act, which in turn leads the perceptual implementer to
construct a percept of the experience of moving the hand….Second,
it sends an efference copy of the action command to cause the for-
ward action model to generate the predicted act of moving the
hand….The predicted act then causes the forward perceptual model
to construct a predicted percept of the experience of moving the
hand.”
These two processes allow the individual to differentiate between
sensory input from self-generated behavior and sensory input from the
environment by comparing the predicted sensory experience with the
actual sensory experience. When the prediction generated by the for-
ward model = perceptual experience (also referred to as P = E) a
phenomenon known as sensory attenuation occurs, dampening atten-
tion to the sensory experience and allowing the individual to know that
the experience is a result of their own behavior [3]. A common example
used to display this sensory attenuation is that an individual cannot
tickle himself. According to motor theory this is because the predicted
experience of the efference copy for the tickling motor act matches the
experience of tickling; thus, P = E and the tickling sensation is canceled
[2].
When the predicted sensory experience and actual sensory experi-
ence do not match (also referred to as P=/=E), sensory neurons fire,
drawing the attention of the individual to this prediction error [3]. This
prediction error corrects the forward model such that the next action
can be modified. A simple example to demonstrate this is that if a
forward model is used to predict where an individual’s hand will be
during a grasp, and the hand is a little further to the right than pre-
dicted, this prediction error is noted and the next time the individual
attempted the same grasp, he would grasp a little further to the right
[2].
Thus, forward models can be used for predicting the perceptual
outcomes of an action and granting agency of the sensory experience by
attenuating the sensory effects of self-motion. Forward models have
further been extended beyond simple motor control to social control. As
Wolpert, Doya, and Kawato [4] write,
“We can consider a similar forward or predictive model for social
interaction. In this case another person’s response to my motor
commands or communicative behaviour is modelled. Again, dis-
crepancies between anticipated and actual behaviour can be used to
refine such a model. Therefore, by monitoring one’s own action and
the response of others it is possible to learn a predictive model of the
likely behaviour of someone in response to our actions.”
https://doi.org/10.1016/j.mehy.2019.109292
Received 3 June 2019; Received in revised form 25 June 2019; Accepted 26 June 2019
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No sources of support in the form of grants.
E-mail address: spoconno@gmail.com.
Medical Hypotheses 130 (2019) 109292
0306-9877/ © 2019 Elsevier Ltd. All rights reserved.
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