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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Phenomenal Experience and the Perceptual Binding State</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Joscha Bach</string-name>
          <email>bach@fas.harvard.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Harvard Program for Evolutionary Dynamics</institution>
          ,
          <addr-line>Cambridge, MA 02138</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>How can a computational model of cognition account for the hard problem of consciousness? This contribution addresses some of our intuitions about the nature of phenomenal experience and the first person perspective, and suggests avenues for their realization in a cognitive architecture.</p>
      </abstract>
      <kwd-group>
        <kwd>phenomenal consciousness</kwd>
        <kwd>hard problem</kwd>
        <kwd>cortical conductor theory</kwd>
        <kwd>attention</kwd>
        <kwd>binding</kwd>
        <kwd>cognitive architectures</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        It seems that if Artificial Intelligence is pursued as a cognitive science, it cannot avoid
to account for the arguably most elusive and mercurial property of the human mind:
the conscious experience of phenomenal states. While I have tried to account for
some of the functional properties of machine consciousness elsewhere
        <xref ref-type="bibr" rid="ref2 ref22 ref4 ref5 ref6">(Bach 2018a,
2018b, 2009)</xref>
        , this contribution avoids technical and formal arguments and instead
tries to offer a brief introduction into some of the most relevant conceptual intuitions
with regard to understanding consciousness as a property of an intelligent system.
      </p>
      <p>Modeling perception, memory, decision making, reward based motivation provide
challenges to cognitive science, yet nothing about these faculties seems mysterious.
The same applies to extending AI systems with reflexive and metacognitive
capabilities. But how could an AI model ever hope to explain the feeling of what-it’s-like?
David Chalmers (1995) characterizes this as the Hard Problem of Consciousness: The
ability of an organism to be the “subject of experience”. To further specify what that
means, Giulio Tononi and Christof Koch (2015) have offered five axioms, which I
would briefly summarize as follows:</p>
      <p>1. Consciousness is real and actual (for the same reason that compelled Descartes
to his famous dictum “cogito, ergo sum”). 2. Consciousness is compositional (for
instance, visual experience is structured by color and shape). 3. Experience is specific,
it happens in ways that distinguishes it from other experiences. 4. Consciousness is
integrated (unified): the elements of an experience are interdependent so that they are
experienced together, and cannot be reduced to separate elements (e.g. color and
shape in visual perception). 5. Conscious experience has borders: it specifies certain
things and thereby excludes others.</p>
      <p>
        While these axioms are neither particularly axiomatic nor sufficient to explain
what we mean by consciousness
        <xref ref-type="bibr" rid="ref7">(see Bayne 2018)</xref>
        , they form the foundation of
Tononi’s Integrated Information Theory (IIT) that attempts to explain consciousness via
the degree of mutual information between the operations taking place in different
parts of a cognitive system
        <xref ref-type="bibr" rid="ref23 ref25">(Tononi 2012, 2016)</xref>
        .
      </p>
      <p>It seems to be entirely plausible that the observable behavior of humans results
from physical interactions that are orchestrated by the cells and chemical and
electrical signals of the nervous system, which is why contemporary neuroscience and
psychology largely subscribe to a physicalist world view. Yet it seems to be implausible
that a physical process can make a physical object (such as an organism) experience
anything. This apparent conundrum has several possible traditional resolutions:
1. Physicalism is false, and the world we inhabit is not physical, but entirely
experiential (a kind of dream, but with constraints that are given by a mind outside of our
own). This idealist position was advanced for instance by the 19th century
philosophers Schelling and Hegel, and is also found in many religious traditions. Because
physicalist theories of the universe (which describe it as a causally closed realm that
operates in accord with mechanical laws) are very successful in explaining our
observations, the denial of physicalism is not a popular position among scientists.</p>
      <p>
        2. The physical and the mental domain are separate realms of existence. This
dualist position is often attributed to René Descartes, and was further developed by
Gottfried Wilhelm Leibniz (who suggested that these separate domains co-evolve
according to a “prestabilized harmony”) and Nicolas Malebranche. A problem with dualism
is that the physical world is either defined or empirically observed as causally closed:
if the mind could change the physical world, it would violate conservation laws, and
if it cannot change the physical world, consciousness is a mere epiphenomenon. That
means: if an epiphenomenalist thinker has phenomenal experience outside of physics,
it cannot have caused the thinker’s argument, because the expression of an argument
must happen in the world of physics. The last substantial effort to find an avenue for
dualism that I am aware of was made by Karl
        <xref ref-type="bibr" rid="ref21">Popper and John Eccles (1977</xref>
        ), who
suggested that quantum effects in the neocortex might be random enough to not
violate conservation laws, but could still act as a conduit between the mental and the
physical realm. (Conservation laws indicate that information itself is conserved, so
this argument seems hopeless.)
      </p>
      <p>3. Understanding consciousness will require extending our understanding of
physics beyond computational principles. To escape the mechanist perspective, it will not
be sufficient to discover new ways in which information flows through the universe,
and our view of physical reality may have to break out of the computational
frameworks of existing physics. This is the position of Roger Penrose (1998). I would like
to argue that for epistemological reasons (we can only make finitely resolved, local
observations, and we have to describe our models in computational languages), such
principles would remain outside of the universe we can observe and model. From the
perspective of an embedded observer, they would therefore appear to be an
inseparable aspect of the material universe, which makes this position indistinguishable from
panpsychism. A problem with the position of physics being incomplete is similar to
dualism: the Standard Model of physics appears to be already sufficiently detailed to
explain all the necessary dynamics of organisms, and it does not leave obvious causal
gaps through which the non computational physics of phenomenal consciousness
could influence our actions. (The non-obvious gap that Penrose argues for is quantum
gravity, since current physics does not yet offer a generally accepted solution for
unifying quantum mechanics and curved space.)</p>
      <p>
        4. Consciousness can in principle not be explained. This is the mysterianist
position, which has been argued by Colin
        <xref ref-type="bibr" rid="ref17">McGinn (1999)</xref>
        , and more recently also by
Noam Chomsky.
      </p>
      <p>
        5. Scientific research should focus on the functional aspects of consciousness, such
as the fact that conscious attention relates different aspects of perceptual content and
knowledge to each other, which is explored in Bernard
        <xref ref-type="bibr" rid="ref1">Baars’ Global Workspace
theory (1993</xref>
        ), and its neuroscientific adaptation by Stanislas
        <xref ref-type="bibr" rid="ref9">Dehaene (2014)</xref>
        . A
detailed functional explanation of the performance of conscious agents will converge to
an explanation of phenomenal consciousness.
      </p>
      <p>
        6. Phenomenal consciousness does not exist and is an illusion
        <xref ref-type="bibr" rid="ref10 ref11 ref13">(Frankish 2016,
Dennett 1992, 2016)</xref>
        .
      </p>
      <p>
        We should notice that if mental events are produced by the nervous system, and the
relevant dynamics of the nervous system can in principle be described by known
physics, the conscious experience of events cannot happen in or very close to real
time. Due to the slow rate of signal propagation in the nervous system, the processing
of sensory modalities can take many hundreds of milliseconds. Also, different sensory
modalities of the same event (such as feeling how a foot touches the ground, and
hearing the sound of the foot step) do not take the same amount of time to process,
and will have to be fused later on, and later stimuli can change the experience of
earlier ones
        <xref ref-type="bibr" rid="ref22">(Stiles et al. 2018)</xref>
        . Thus, conscious experience cannot happen in actuality,
but must be constructed after the fact.
      </p>
      <p>
        Furthermore, conscious experience is also not simply time-shifted: the subjectively
immediate initiation and execution of intentional actions in response to sensory events
is part of our experience, too. The initiation of a deliberate act is not instantaneous,
but will require at least several hundred milliseconds of cortical activity
        <xref ref-type="bibr" rid="ref15">(Libet 1983)</xref>
        ,
and thus, a deliberate reaction to a sensory event such as stubbing one’s toe may
easily take more than a second. Since we don’t experience this delay, our subjective
conscious experience of agency in the present cannot be real. Despite our experience,
Tononi and Koch’s first axiom of conscious experience is incompatible with both
physicalism and neuroscientific evidence. From the perspective of physicalism,
Frankish and Dennett appear to be correct, and the solution to the Hard Problem is
clear: a physical system, such as an organism, cannot actually have phenomenal
experience. Thus, what needs to be explained is not how an organism can have
phenomenal experience, but why it appears to us that we do!
      </p>
      <p>This apparent paradox can be resolved when we realize that we are not actually
organisms, realized by physics, and living in a physical environment. The world we
experience is not the physical world, but a virtual world that is being generated by our
mind, which is implemented by the nervous system, in an attempt to explain sensory
patterns. The same circuitry that produces dreams when we sleep does so when we are
awake, but during wakefulness, the dream is tuned to predict the patterns generated by
our sensory nerves. The subject of experience, the self, is a virtual character
inhabiting this virtual world, just like the main character of a novel inhabits a fictional
universe. The self is not identical to the organism. Instead, the self is a model of the
regulation dynamics of that organism. The self is also not an agent. It is a passenger to all
the activities performed by the organism, a simulacrum that the brain generates to
predict, evaluate and plan the trajectory of the organism through its environment. The
apparent causal relationship between the self and behavior is simply due to the fact
that the organism uses the self as a model for regulating its actions. (For a detailed
argument about why the self does not possess agency but is a representation, see
Metzinger 2003.)</p>
      <p>
        While the idealist and physicalist positions are at odds with each other when we
understand them as ontological statements about reality, they are complementary with
respect to the mind: We do live in a dream, each one of us in a separate one, and the
dream, including all its inhabitants, is generated by a brain of an organism living in a
physical universe. The reason why we experience things in a particular way is the
same why a character in a novel does: because the contents of our experience and the
fact of the experience itself are written in exactly this way by its author. Like a
character in a novel, we generally also don’t notice that we are not real, as long as the
author does not write the discovery that we are not real into our story. (The
psychological phenomenon known as “derealization/depersonalization disorder” may
represent and exception from this rule.) Our phenomenal experience is very real to
ourselves, but our selves are not real. In other words, when
        <xref ref-type="bibr" rid="ref24">Tononi and Koch (2015)</xref>
        argue that only a physical organism can have conscious experience, but a simulation
cannot, they got it exactly backwards: a physical system cannot be conscious, only a
simulation can.
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>The architecture of perception</title>
      <p>
        For something to qualify as an experienced content, it is necessary and sufficient to be
recalled as having been the subject of our attention. We cannot recall what we do not
remember having attended to, and nothing we can recall as having attended to is not
conscious. This implies that we possess special attentional system that is combined
with an indexed memory that is integrated in such a way that all the different
memories can be related to each other. I call this attentional system the Cortical Conductor
        <xref ref-type="bibr" rid="ref4 ref5 ref6">(Bach 2018a)</xref>
        . The idea of treating consciousness as a model of attention has also
been suggested in several forms by
        <xref ref-type="bibr" rid="ref14">Graziano and Webb (2014)</xref>
        ,
        <xref ref-type="bibr" rid="ref11">Dennett (1992)</xref>
        ,
        <xref ref-type="bibr" rid="ref12">Drescher (2006)</xref>
        and others. The cortical conductor is a small part of a larger
architecture of perception, depicted in a simplified way in figure 1.
      </p>
      <p>
        Human perception likely begins with the formation of a somatosensory model in
utero. Hebbian learning can connect terminals of sensory neurons that fire at the same
time to allow the formation of a map of the body surface in the primary
somatosensory cortex, which is extended into a model of the spatial arrangement of the body by
combining it with proprioceptive, vestibular and muscle control information. The
correlation of the tactile, visual and auditory modalities allows extending the tactile
space into a model of the immediate environment. The presence of reward signals,
emotional modulators and motivational urges along with proprioception allows the
agent to model its motivational, emotional and hedonic state
        <xref ref-type="bibr" rid="ref3">(Bach 2015)</xref>
        .
Motivational states either relate to the somatic regulation (nutrition, health, rest etc.), the
social regulation (affiliation, nurturing, dominance etc.) or the cognitive regulation
(competence, exploration, aesthetics). Together with the attentional state and the
short-term and long-term biographical memory of the agent, they form the model of
the agent’s own regulation: the self. This model is not identical with the regulation,
but it allows the organism to explain, predict, and evaluate its own behavior, and
thereby improve the regulation. The self model and the current world state constitute
an ego centric local perceptual space of the organism. The agent is also able to create
counterfactual world states (imagined or remembered mental states that don’t
conform to the present state of the environment or self). This mental stage is crucial for
planning, learning and reasoning.
When the agent moves to a new location, or changes in the self and environment
happen, the perceptual space changes. These changes are modeled using global
allocentric maps and the biographical memory of the agent, and the knowledge and various
cognitive tools that allow us to predict, explain and evaluate the new states. At each
point in time, only a small part of the total world model of the agent is instantiated in
the perceptual space and the currently active percepts and sensory patterns. Together
with the state of the attentional system, this current instantiation amounts to the state
of the working memory of the agent. Working memory amounts to a set of values of
latent variables and relationships that bind them to each other: the binding state.
      </p>
      <p>The attentional system selects sensory patterns and percepts based on their
relevance for updating the perceptual space. A main role of the attentional system may
consist in its support for learning. Attentional learning works by making a local
intervention in the model, and storing this model together with the expected outcome of
the change, the current partial binding state of the perceptual space (a memory of the
present situation) and the conditions under which we expect to be able to learn
whether our intervention was successful. When the world state with the required learning
signal is encountered later on, the partial binding state during the time of the
intervention can be recalled, and the change to the model can be reinforced or undone.</p>
      <p>Storage and recall require that the attentional system has access to an integrated
protocol memory. Conscious attention may be understood as the ability to store
indexed memories.</p>
      <p>Phenomenal consciousness is the memory of a specific perceptual binding state.
Because the attentional system has itself to be trained by attentional learning, the act
of accessing it may be stored in the attentional protocol as well. Access consciousness
may be understood as the memory of accessing a specific binding state, as stored in
the attentional protocol. Reflexive consciousness is the memory of the experience of
that access, i.e. a model of the self as a system that has access to its own experience.
3</p>
    </sec>
    <sec id="sec-3">
      <title>The realization of the binding state</title>
      <p>The local perceptual space is a computational operator that explains the current
perceptual patterns, as they are available to the agent. This model can be understood as a
set of variable parameters (the state of the model) and computational relationships
between them (the invariances of the model). Perception is the process of creating
coherence between the variables by propagating their relationships between them
until a consistent state is reached. A perfect model would be constrained in such a
way that every possible stable configuration of the free model parameters corresponds
to exactly one possible state of the ground truth, and the available sensory patterns of
most ground truth states allow an efficient convergence of the model state to the
ground truth state. The role of attention in perception is to repair inconsistent parts of
the perceptual model, usually by modifying the relationships between the values, that
is, by changing the way these values are bound to each other. At each moment, only a
small fraction of the known relationships between the possible model parameters is
instantiated as a binding state in working memory (i.e. we only perceive a very small
part and moment of the entire possible universe). The more relationships we can
establish without breaking the coherence of the perceptual operator, the more sensory
data we can explain, and the better we can predict future states. Unlike many machine
learning models of perception that stop at recognizing individual, independent
patterns (such as datasets of unrelated bitmaps), all sensory inputs of an organism
correspond to an aspect in the same coherent and continuous universe, and thus, it should
ideally be interpreted as a part of a single unified modeling function.</p>
      <p>The binding problem of neuroscience is somewhat similar to the binding problem
of the internet: how is it possible that a very specific configuration of information
exchanging units, such as neurons or internet servers, can organize and stabilize itself
across a large network of possible connections? The answer to that problem may also
be similar: the neurons might be organized so that they can implement a protocol that
allows them to enter one of the currently bound sets of neurons in a specific
relationship, to stay in this group for as long as necessary, and to leave it when required.</p>
      <p>
        There seem to be two broad families of approaches to the binding problem, either
by sending repeated local codes between assemblies of neurons (such as cortical
columns) that can act similar to the “ping” and “ack” messages of computers on the
internet. Request Confirmation Networks
        <xref ref-type="bibr" rid="ref4 ref5 ref6">(Bach and Gallagher 2018)</xref>
        describe the
implementation of such a protocol. In neuroscience, a similar approach is found in
feature integration theory
        <xref ref-type="bibr" rid="ref26">(Treisman and Gelade 1980)</xref>
        . Another way of achieving
binding is called synchronization theory
        <xref ref-type="bibr" rid="ref16 ref19">(Milner 1974, von der Mahlsburg 1981)</xref>
        , and
suggests that the synchronous firing of neurons results in binding them. Both theories
continue to have new developments and proponents, presumably at least in part
because both of them predict somewhat similar observations: the implementation of a
local signaling protocol that connects large groups of neural assemblies across the
cortex will be observable as synchronized oscillations. Thus, the more interesting
question is about the causal order: is binding the result of synchronous firing, or is it
the other way around?
      </p>
      <p>
        An interesting nonlocal version of the synchronization theory that may explain
how the frequency of the firing itself could be causative for binding is advanced by
        <xref ref-type="bibr" rid="ref8">Crick and Koch (1990)</xref>
        and may perhaps be phrased as a neural ether theory. Here,
cortical neurons are interpreted as forming a lattice that propagates signals globally at
different frequencies, and by tuning in to a given frequency (i.e. sampling the signals
of other neurons at fixed intervals) neural assemblies can bind themselves to the
processing of different perceptual content, like a radio receiver can tune in to a particular
program. From the perspective of Tononi’s and Koch’s IIT, a state of increased
consciousness would correspond to one in which a large part of the cortical activity
would receive and participate in generating the same perceptual program. The
existence of a cohesive perceptual binding state is plausibly a necessary condition for
phenomenal experience, but not a sufficient one. If the brain creates a kind of perceptual
radio program and uses that to orchestrate the behavior of the organism, what is
listening? Rather than the universe itself, as some panpsychists believe, or some entity
outside of the physical universe, as dualists claim, I’d like to suggest that conscious
experience is a model of the contents of our attention: it is virtual, a component of the
organism’s simulated self model, and produced by an attentional conductor.
      </p>
    </sec>
    <sec id="sec-4">
      <title>Acknowledgements</title>
      <p>This work has been supported by the Harvard Program for Evolutionary Dynamics,
the MIT Media Lab and the Epstein Foundation. I am indebted to Katherine
Gallagher, Adam Marblestone, and the students of the Future of Artificial Intelligence
course at the MIT Media Lab for their contributions in discussions of the topic, as
well as to Martin Novak and Joi Ito for their support.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <string-name>
            <surname>Baars</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          (
          <year>1993</year>
          ).
          <source>A Cognitive Theory of Consciousness</source>
          . Cambridge University Press
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <string-name>
            <surname>Bach</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2009</year>
          ).
          <article-title>Principles of Synthetic Intelligence. Psi, an architecture of motivated cognition</article-title>
          . Oxford University Press (
          <year>2009</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <string-name>
            <surname>Bach</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>Modeling Motivation in MicroPsi 2</article-title>
          .
          <source>Artificial General Intelligence</source>
          , 8th International Conference,
          <source>AGI 2015</source>
          , Berlin, Germany:
          <fpage>3</fpage>
          -
          <lpage>13</lpage>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          <string-name>
            <surname>Bach</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2018a</year>
          ).
          <source>The Cortical Conductor Theory: Towards Addressing Consciousness in AI Models. Postproceedings of BICA 2018</source>
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          <string-name>
            <surname>Bach</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2018b</year>
          ).
          <article-title>Consciousness in Humans and other Machines. Postproceedings of AAAI Fall Symposium WS “Towards common model of cognition”</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          <string-name>
            <surname>Bach</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gallagher</surname>
            <given-names>K.</given-names>
          </string-name>
          (
          <year>2018</year>
          ).
          <article-title>Request Confirmation Networks in MicroPsi 2</article-title>
          .
          <source>Proceedings of AGI 2018</source>
          , Springer.
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          <string-name>
            <surname>Bayne</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          (
          <year>2018</year>
          )
          <article-title>On the axiomatic foundations of the integrated information theory of consciousness</article-title>
          ,
          <source>Neuroscience of Consciousness</source>
          , Volume
          <volume>2018</volume>
          , Issue 1
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          <string-name>
            <surname>Crick</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          ,
          <string-name>
            <given-names>C.</given-names>
            <surname>Koch</surname>
          </string-name>
          (
          <year>1990</year>
          ).
          <article-title>A Framework for Consciousness</article-title>
          .
          <source>Nature Neuroscience</source>
          .
          <volume>6</volume>
          :
          <fpage>119</fpage>
          -
          <lpage>26</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          <string-name>
            <surname>Dehaene</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          (
          <year>2014</year>
          ).
          <article-title>Consciousness and the Brain</article-title>
          . Viking Press
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          <string-name>
            <surname>Dennett</surname>
            ,
            <given-names>D. C.</given-names>
          </string-name>
          (
          <year>2016</year>
          ).
          <article-title>Illusionism as the Obvious Default Theory of Consciousness</article-title>
          .
          <source>Journal of Consciousness Studies</source>
          ,
          <volume>23</volume>
          , No.
          <fpage>11</fpage>
          -
          <issue>12</issue>
          , pp.
          <fpage>65</fpage>
          -
          <lpage>72</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          <string-name>
            <surname>Dennett</surname>
            ,
            <given-names>D. C.</given-names>
          </string-name>
          (
          <year>1992</year>
          ). Consciousness Explained. Back Bay Books, New York
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          <string-name>
            <surname>Drescher</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          (
          <year>2006</year>
          ).
          <article-title>Good and Real</article-title>
          . MIT Press
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          <string-name>
            <surname>Frankish</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          (
          <year>2016</year>
          ).
          <article-title>Illusionism as a Theory of Consciousness</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          <string-name>
            <surname>Graziano</surname>
            ,
            <given-names>M. S. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Webb</surname>
            ,
            <given-names>T. W.</given-names>
          </string-name>
          (
          <year>2014</year>
          ).
          <article-title>A Mechanistic Theory of Consciousness</article-title>
          .
          <source>International Journal on Machine Consciousness</source>
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          <string-name>
            <surname>Libet</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gleason</surname>
            ,
            <given-names>C.A</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wright</surname>
            ,
            <given-names>E.W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pearl</surname>
            ,
            <given-names>D.K.</given-names>
          </string-name>
          (
          <year>1983</year>
          ).
          <article-title>Time of conscious intention to act in relation to onset of cerebral activity (readiness-potential). The unconscious initiation of a freely voluntary act</article-title>
          .
          <source>Brain.1983 Sep; 106 (Pt</source>
          <volume>3</volume>
          ):
          <fpage>623</fpage>
          -
          <lpage>42</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          <string-name>
            <surname>von der Malsburg</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          (
          <year>1981</year>
          ).
          <article-title>The correlation theory of brain function</article-title>
          .
          <source>MPI Biophysical Chemistry, Internal Report 81-2</source>
          .
          <article-title>Reprinted in Models of Neural Networks II (</article-title>
          <year>1994</year>
          ), E. Domany,
          <string-name>
            <surname>J.L. van Hemmen</surname>
          </string-name>
          ,
          <article-title>and</article-title>
          K. Schulten, eds. (Berlin: Springer)
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          <string-name>
            <surname>McGinn</surname>
          </string-name>
          ,
          <string-name>
            <surname>Colin</surname>
          </string-name>
          (
          <year>1999</year>
          ).
          <article-title>The Mysterious Flame</article-title>
          .
          <source>Conscious Minds in a Material World. Basic Books</source>
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          <string-name>
            <surname>Metzinger</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          (
          <year>2003</year>
          ).
          <article-title>Being no One</article-title>
          . MIT Press
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          <string-name>
            <surname>Milner</surname>
            ,
            <given-names>P.M.</given-names>
          </string-name>
          (
          <year>1974</year>
          ).
          <article-title>A model for visual shape recognition</article-title>
          .
          <source>Psychol Rev</source>
          .
          <volume>81</volume>
          (
          <issue>6</issue>
          ):
          <fpage>521</fpage>
          -
          <lpage>35</lpage>
          . doi:
          <volume>10</volume>
          .1037/h0037149. PMID 4445414
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          <string-name>
            <surname>Penrose</surname>
          </string-name>
          ,
          <string-name>
            <surname>Roger</surname>
          </string-name>
          (
          <year>1989</year>
          ).
          <source>The Emperor's New Mind: Concerning Computers, Minds and The Laws of Physics</source>
          . Oxford University Press
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          <string-name>
            <surname>Popper</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Eccles</surname>
            ,
            <given-names>J.C.</given-names>
          </string-name>
          (
          <year>1977</year>
          ).
          <source>The Self and its Brain</source>
          . Springer
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          <string-name>
            <surname>Stiles</surname>
            ,
            <given-names>N.R.B.</given-names>
          </string-name>
          et al. (
          <year>2018</year>
          ).
          <article-title>What you saw is what you will hear: Two new illusions with audiovisual postdictive effects</article-title>
          ,
          <source>PLOS ONE</source>
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          <string-name>
            <surname>Tononi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          (
          <year>2012</year>
          ):
          <article-title>The integrated information theory of consciousness: an updated account</article-title>
          .
          <source>Arch. Ital. Biol</source>
          .
          <volume>150</volume>
          ,
          <fpage>56</fpage>
          -
          <lpage>90</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref24">
        <mixed-citation>
          <string-name>
            <surname>Tononi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Koch</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          (
          <year>2015</year>
          ).
          <article-title>Consciousness: here, there and everywhere? Philosophical Transactions of the Royal Society</article-title>
          B;
          <volume>370</volume>
          :
          <fpage>20140167</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref25">
        <mixed-citation>
          <string-name>
            <surname>Tononi</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Boly</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Massimini</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Koch</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          (
          <year>2016</year>
          ).
          <article-title>Integrated information theory: from consciousness to its physical substrate</article-title>
          .
          <source>Nature Reviews Neurosc</source>
          .
          <volume>17</volume>
          (
          <issue>7</issue>
          ):
          <fpage>450</fpage>
          -
          <lpage>461</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref26">
        <mixed-citation>
          <string-name>
            <surname>Treisman</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gelade</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          (
          <year>1980</year>
          ).
          <article-title>A feature-integration theory of attention</article-title>
          .
          <source>Cognitive Psychology</source>
          , Vol.
          <volume>12</volume>
          , No.
          <issue>1</issue>
          , pp.
          <fpage>97</fpage>
          -
          <lpage>136</lpage>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>