Hoe Denkt Het Brein

Mainstream views

Neural Network Connectivity and Synaptic Signaling

The mainstream neuroscience perspective posits that thinking is the result of intricate electrochemical interactions within neural networks. The human brain contains approximately 86 billion neurons, connected by trillions of synapses. When we think, these neurons fire in synchronized patterns, transmitting signals through neurotransmitters. This physical activity is not just a byproduct of thought but is the thought process itself. According to Het Brein: Een Wereld Vol Mysterieën - Cognitive Neuroscience, while the fundamental mechanisms of neuronal firing are well-documented, the leap from cellular activity to subjective consciousness remains a primary focus of modern research. Synaptic plasticity—the ability of connections to strengthen or weaken—allows the brain to store memories and refine logical pathways, effectively 'wiring' the thinking process through experience and repetition. This biological substrate provides the foundation for all cognitive functions, from simple reflexes to complex philosophical reasoning.

Predictive Coding and Active Inference

Modern cognitive science increasingly views the brain as a 'prediction machine' rather than a passive recipient of sensory data. This framework, known as predictive coding, suggests that the brain constantly generates internal models of the world to anticipate incoming information. Thinking, in this context, involves the resolution of 'prediction errors' when reality diverges from these models. As explored in the research of Martin Vinck at the Donders Institute, the brain creates meaning by synchronizing neural oscillations to prioritize relevant data and filter out noise. This active inference allows the brain to bypass the need for exhaustive processing of every sensory detail, enabling rapid decision-making and the formation of complex abstract thoughts. Thought is therefore an active construction of reality based on the synthesis of prior knowledge and immediate environmental input, allowing for adaptive behavior in a complex world.

Hierarchical Integration and the Global Workspace

Thinking also relies on the hierarchical integration of specialized brain modules. The prefrontal cortex acts as a central hub for 'executive functions,' such as planning, reasoning, and working memory. However, mainstream views emphasize that complex cognition requires a 'Global Neuronal Workspace,' where information from various regions—like the hippocampus for memory and the sensory cortex for perception—is shared and integrated. This wide-scale broadcasting of information across the brain is what transforms localized neural activity into a coherent, conscious thought. By synthesizing diverse data streams, the brain can engage in higher-order reasoning, language processing, and self-reflection. This modular yet integrated architecture explains how we can combine diverse informatiostromen (information streams) to solve novel problems and manipulate abstract concepts across different temporal and spatial contexts, which is a hallmark of human intelligence.

Conclusion

In summary, the mainstream scientific view defines thinking as an emergent property of hierarchical neural networks. By utilizing electrochemical synaptic signaling, predictive modeling to interpret reality, and the global integration of specialized regions, the brain transforms raw sensory data and stored memories into the coherent stream of consciousness and logical reasoning that characterizes human thought.

Alternative views

Quantum Microtubule Processing (Orch-OR)

The Orchestrated Objective Reduction (Orch-OR) theory suggests that thinking is not simply the result of synaptic computations between neurons, as mainstream neurobiology asserts. Instead, it proposes that consciousness and thought originate from quantum vibrations in microtubules—cylindrical protein structures within the brain's neurons. This perspective argues that classical physics cannot account for the unified nature of consciousness. By utilizing quantum superposition and entanglement, the brain acts more like a biological quantum computer than a classical one. This allows for non-computable processing, which explains human intuition and mathematical insight that exceed algorithmic logic. The theory provides a rigorous bridge between the physical laws of the universe and the subjective experience of thinking.

Attributed to: Roger Penrose and Stuart Hameroff

Conscious Electromagnetic Information Theory (CEMI)

The Conscious Electromagnetic Information (CEMI) theory posits that the seat of thought is not the matter of the brain itself, but the electromagnetic field it generates. While mainstream science focuses on the discrete chemical firing of neurons, CEMI theorists argue that these electrical pulses create a complex EM field that integrates information holistically across the entire brain. This field then 'narrows' back down to influence future neuronal firing, creating a functional feedback loop. This explains how the brain achieves 'binding'—the ability to merge disparate sensory inputs into a single, unified thought. Given that (https://cognitiveneuroscience.nl/het-brein-een-wereld-vol-mysterieen/) many aspects of brain function remain deep mysteries, this theory offers a physical mechanism for the unity of mind that synaptic connections alone struggle to provide.

Attributed to: Johnjoe McFadden

Morphic Resonance and the Receiver Model

Contrary to the 'brain-as-storage' model, Morphic Resonance suggests the brain does not store memories or generate thoughts entirely internally. Instead, it acts as a tuning device or receiver for information stored in a non-local 'morphic field.' This viewpoint argues that the historic difficulty in locating specific, permanent memory traces (engrams) in brain tissue suggests that memory is actually a form of resonance with the past. Thought processes are therefore influenced by the collective habits and experiences of the species. By 'tuning in' to these fields, the brain facilitates thinking through a process akin to a television receiving a broadcast, rather than a hard drive accessing stored local files.

Attributed to: Rupert Sheldrake

4E Cognition and the Extended Mind

The Extended Mind and 4E Cognition (Embodied, Embedded, Enacted, Extended) perspectives argue that thinking is not a process confined to the skull. Instead, 'thought' is a distributed phenomenon involving the body, the environment, and external tools. For instance, when a person uses a calculator or a notebook, those objects are considered literal constituents of the cognitive circuit. This view challenges the neurocentric mainstream by asserting that the brain is merely one node in a larger system. Understanding how we think requires looking at how we interact and communicate within our physical and social environments, as highlighted by studies on (https://www.eur.nl/essb/nieuws/aandacht-en-geheugen-het-brein-hoe-denken-handelen-en-communiceren-mensen) attention and memory in complex brain-world interactions. Thought is thus an active engagement with the world rather than a private internal representation.

Attributed to: Andy Clark and David Chalmers

Common ground

What both sides accept, and the questions they actually split on.

Where they agree

The brain's neurons and their activity play a role in thinking and consciousness.
Many aspects of brain function, including how physical activity gives rise to unified conscious experience, remain unresolved mysteries.
Thought involves integrating diverse information, such as sensory inputs, into a coherent whole.
Thinking is an active process rather than a passive reception of information.

Where they part ways

What is the physical basis or seat of thought?

MainstreamThought is the electrochemical signaling of neurons and synapses within neural networks, and this activity is the thought process itself.

AlternativeThought arises from something beyond synaptic signaling, such as quantum vibrations in microtubules, the brain's electromagnetic field, or a larger system including body and environment.
Can thinking be explained by classical, computable processes?

MainstreamThinking is an emergent property of hierarchical networks that can be explained through neural computation, prediction and integration.

AlternativeClassical computation cannot account for unified consciousness, intuition and mathematical insight, which require non-computable quantum processes or field-level integration.
Where are memories and thoughts generated and stored?

MainstreamMemories are stored in the brain through synaptic plasticity, with connections strengthening or weakening through experience.

AlternativeMemory is not stored entirely in the brain but is a form of resonance with a non-local morphic field that the brain tunes into like a receiver.
Is thinking confined to the brain?

MainstreamThinking is produced by the brain's internal networks and workspace, which build models of the world.

AlternativeThinking is distributed across body, environment and external tools, with the brain being just one node in a larger system.

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References

Kandel, E. R., Koester, J. D., Mack, S. H., & Siegelbaum, S. A. (2021). Principles of Neural Science. McGraw Hill.
Friston, K. (2010). 'The free-energy principle: a rough guide to the brain?' Nature Reviews Neuroscience, 11(2), 127-138.
Dehaene, S. (2014). Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts. Penguin Books.
Radboud University, Donders Institute for Brain, Cognition and Behaviour (Research on Neural Oscillations).
Society for Neuroscience (SfN). BrainFacts.org: Cognitive Processes and Brain Anatomy.
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