You do not see the world. You see your brain.
That may sound like a philosophical exaggeration, but in modern neuroscience it is a fairly conservative statement. Perception is not a direct readout of external reality. It is the result of continuous neural construction based on sensory input, prior expectations, and internal models.
What you experience as “reality” is therefore not a raw image of the world, but a generated interpretation.
And the crucial point is: this system is not fixed.
1. Perception is not a window, but a construction process
The intuitive picture of perception is simple: the world is “out there,” and we passively observe it.
Neuroscience suggests otherwise.
The brain does not function like a camera. It behaves more like a prediction and inference system. It continuously generates hypotheses about the world and updates them based on incoming sensory signals.
This leads to a fundamental inversion:
You do not first see the world and then interpret it.
You receive already interpreted representations of the world.
2. The lens in your head is not a fixed device
A central concept in modern neuroscience is neuroplasticity.
The brain is not a static structure. It changes in response to experience, learning, and sustained mental activity.
This is not metaphorical. It is measurable:
- Neural connections strengthen or weaken over time
- Attention training alters activation patterns
- Long-term practice can reshape functional and structural networks
Functional MRI studies show that even relatively short-term training—such as meditation or attention exercises—can measurably change how brain regions activate and interact.
In other words:
The “lens” is not a fixed optical device. It is a dynamic biological system.
3. What MRI and brain imaging actually show
Techniques such as fMRI and PET scans do not reveal subjective experience directly. Instead, they reveal something more fundamental:
Perception corresponds to dynamic patterns of neural activity, not fixed states.
When people:
- reinterpret pain
- train attention
- regulate emotional responses
we observe corresponding changes in brain activity and network connectivity.
This indicates that perception is not a stable snapshot, but a continuously reorganized process.
4. Perception is trainable, but not arbitrary
A common misunderstanding is that if perception is changeable, then it must be arbitrary.
Neuroscience suggests the opposite.
Neuroplasticity does not imply unlimited flexibility. It implies structured adaptability:
 |
| Picture by Notorious V1rus on Unsplash |
The system is malleable, but within biological constraints.
Examples:
- Attention can be trained, but not infinitely expanded
- Emotional responses can be regulated, but not erased at will
- Sensory perception can be refined, but not detached from its biological basis
The brain is therefore not a free interface to reality, but an adaptive system with constraints.
5. Meditation and the modulation of perception
One of the most studied examples of this plasticity is meditation.
Research indicates that sustained meditative practice is associated with changes in:
- attentional networks
- emotional regulation systems
- stress-related processing
- and, in some cases, cortical structure
The key point is not a mystical interpretation, but a biological one:
Systematic mental training produces measurable changes in how the brain processes experience.
This implies that perception is not merely given—it is shaped.
6. The consequence: reality is not directly accessible
Taken together, these findings suggest a clear distinction:
- There is an external world
- But our access to it is mediated
- And that mediation is biologically constructed and modifiable
This does not lead to radical relativism.
It leads to a more precise position:
The world may be stable, but our access to it is always constructed.
7. Why this matters
This insight is not only theoretical. It changes how we understand cognition itself:
- Thoughts are not direct truths, but constructed representations
- Perception is not a mirror, but an active process
- Cognitive change is not purely philosophical—it is biological
This shifts the central question:
Not “What is true?”
but “How does my system construct what I take to be true?”
8. Conclusion: the lens remains, but it is changeable
The brain is not a fixed camera-like device, but a continuously reorganizing system shaped by experience and training.
What you perceive depends not only on what exists outside you, but also on how your internal system is currently configured.
And this leads to the central insight:
You cannot remove the lens.
But you can change it.
Reference List
Brandt, R. (2025). A New Science of Consciousness? An In-Depth Interview with Guest Dr. Harsh Bir Singh Puar. Research Reviewer Blog. https://research-reviewer.blogspot.com/2025/10/hbs-puar-consciousness-science.html
Brandt, R. & Singh, K. (2026). Reconceptualizing Objectivity Through Structural Attenuation of Self Reference Integrating Neurocognitive Plasticity Contemplative Practice and Altered States into Epistemic Methodology. Zenodo/Cern 2.0. https://doi.org/10.5281/zenodo.19476158
Chalmers, D. J. (1995). Facing up to the problem of consciousness. Journal of Consciousness Studies, 2(3), 200–219.
Chalmers, D. J. (1996). The conscious mind: In search of a fundamental theory. Oxford University Press.
Dehaene, S. (2014). Consciousness and the brain: Deciphering how the brain codes our thoughts. Viking.
Dehaene, S., & Changeux, J.-P. (2011). Experimental and theoretical approaches to conscious processing. Neuron, 70(2), 200–227. https://doi.org/10.1016/j.neuron.2011.03.018
Dennett, D. C. (1991). Consciousness explained. Little, Brown and Company.
Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138. https://doi.org/10.1038/nrn2787
Koch, C. (2012). Consciousness: Confessions of a romantic reductionist. MIT Press.
Lamme, V. A. F. (2006). Towards a true neural stance on consciousness. Trends in Cognitive Sciences, 10(11), 494–501. https://doi.org/10.1016/j.tics.2006.09.001
Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020). Conscious processing and the global neuronal workspace hypothesis. Neuron, 105(5), 776–798. https://doi.org/10.1016/j.neuron.2020.01.026
Nagel, T. (1974). What is it like to be a bat? The Philosophical Review, 83(4), 435–450. https://doi.org/10.2307/2183914
Revonsuo, A. (2006). Inner presence: Consciousness as a biological phenomenon. MIT Press.
Seth, A. K. (2021). Being you: A new science of consciousness. Faber & Faber.
Singh, K. H. B. (2023). Discovery of consciousness: Foundations of a new science. Amazon KDP. ISBN 978‑93‑5680‑316‑9.
Tononi, G. (2004). An information integration theory of consciousness. BMC Neuroscience, 5(1), 42. https://doi.org/10.1186/1471-2202-5-42
Tononi, G. (2015). Integrated information theory. Scholarpedia, 10(1), 4164. https://doi.org/10.4249/scholarpedia.4164
Inspired by HBS Puar