Seeing ‘What is real?’ is the central aspect of mindfulness and
perceptual clarity is an important dimension of it. Hence, it is not surprising
that I got attracted to Karl
Friston’s “active inference” framework which sheds a fresh light on perceptual
processing. Karl Friston, currently at University College London, is one of the
world’s leading neuroscientists. This body of work – championed by Friston
known with various names such as active inference, free energy
principle, predictive processing, Bayesian brain hypothesis – has turned
the dominant neuroscience view upside down. It proposes, to borrow Andy Clark’s
words, that “We are not cognitive couch potatoes idly awaiting the next ‘input’,
so much as proactive predictavores – nature’s own guessing machines forever
trying to stay one step ahead by surfing the incoming waves of sensory
stimulation.”1
I must admit that I haven’t looked at the mathematical
formulation of “active inference” in detail yet. And I hope to do so in the future.
However, there are sufficient non-mathematical articles by Friston & others
available for us to get a gist of the concept. Please see the endnotes for further
reading.
Here are my 3 takeaways from the “active inference” framework.
1. Perception is
primarily a prediction: According to active-inference framework, the brain
infers the causes of the sensory input. This predictive information flows
top-down and meets the sensory data coming from bottom-up. What flows up are
prediction errors. Based on the perceived reliability of the prediction errors,
the prediction gets refined and/or the prediction errors get suppressed. In
short, perceptual processing involves precision weighted prediction error
minimization. Friston says, “Our percepts are ‘fantasies’ generated by the
brain to explain our sensations. Quite literally, the brain is a ‘fantastic’
organ.”2
2. Perception-action is
a unitary process: Is my action, say to lift my foot while walking, a
response to the incoming sensory data? No, says Active-inference framework. It
says, brain’s top level goal of walking is translated into predicting the
position where my foot needs to be to touch the ground. My action of putting
the foot forward is a way of testing this prediction. Thus action is just
another way of minimizing prediction errors. Friston says, “Action and
perception are facets of the same underlying imperative – namely, to minimize
hierarchical prediction errors through selective sampling of our sensor inputs.”3
Another way Friston puts it is, “Perception is enslaved by action”.4
3. There is no “one”
home: Is there an independent entity or agent or self, doing the thinking,
making decisions and taking actions? No, says the active-inference framework. According
to Friston, each individual is a model or a hypothesis of what might ‘work’ in
its ecological niche.5 The model is unique in that ‘You can only see
your own red’6 and is constantly being updated to adapt to the
changing environment. However, the model is not independent of its environment.
It is engaged in minimizing the surprise by increasing the accuracy of its
prediction by selective sampling through appropriate action and also by reducing
complexity by simplifying its model.
Then what about the sense of self I carry? According to
Friston, self-consciousness is an emergent statistical property just like
temperature and pressure.7 Friston calls this view – dual-aspect
monism as opposed to Cartesian dualism. Consciousness is an inference process with
material properties like mass, position, speed and emergent statistical
properties like beliefs and self.8
Friston brings out the essence of active-inference through the
following interesting example. He says, “In one sense, these ideas are also
your ideas (however latent), because you have to know what you are going to see
next before you can confirm it by reading these words – this is the essence of
active inference and how we sample the
world to minimize surprise.”9
Notes:
1.
Andy Clark, “Surfing uncertainty: Prediction,
action and the embodied self”, Oxford University Press, 2016, pp. 52.
3.
Same as above (Picard and Friston, Neurology
2014).
7.
Same as above (Hobson and Friston, 2014).
8.
Same as above (Hobson and Friston, 2014).
9.
Same as above (Hobson and Friston, 2014).
Image source: ucl.academia.edu