AI: What is the Neuroscience of Albert Einstein’s Brain and Human Intelligence?

By David Stephen who looks at Albert Einstein in this article.

Why was Einstein able to do what others could not? The brain of Einstein was studied. Certain anatomical observations were made. But the question is how exactly does human intelligence work? Why did Einstein’s brain work the way it did? What are the candidates for a conceptual analysis? If the types of neurons in the brain of Einstein are similar to others, then what must have been different? It is theorized here that the candidates are electrical and chemical signals. That their work, in sets — conceptually — in clusters of neurons, were different for Einstein than for others. Simply, the brain of Einstein had better splits for electrical signals, better overlaps for thick sets of chemical signals. There were also new sequences, in the ways that electrical signals relayed, conceptually. The genius of Einstein can be summarized to be obtained in the distinct interactions and attributes of electrical and chemical signals.

The Neuroscience of Albert Einstein’s Brain and Human Intelligence

There is a recent [April 7, 2026] analysis on Diario AS, Scientists discover new clues in Einstein’s brain that could explain his thinking abilities, stating that, “One of those investigations was a 2013 study published in the journal Brain, which found that Einstein had a thicker corpus callosum. His study identified an additional fold in the frontal lobe of Einstein’s brain. Her research found that the upper region of the brain, which is involved in abstract thinking and information processing, contained a higher number of glial cells. According to their study, Einstein’s parietal lobes were approximately 15% wider than those of other individuals. According to Falk, Einstein’s motor cortex resembled that of musicians.”

Human Intelligence

What exactly is human intelligence? What does it mean that an individual is intelligent? This question, at this time, factors that other organisms are intelligent and that there is artificial intelligence.

Since humans are known to have superior intelligence among organisms, what are the variations between humans like? For someone like Einstein or even say Newton, how did their brains work that made them excel at great things, which was rare for others.

Yes, they did regular human activities. They had experiences like others and even had great imagination, still lots of people can imagine general things.

So, what was there? The first step is to define what human intelligence is, in the brain. The next step is to state the types and how they are mechanized by the components responsible, conceptually.

Intelligence is the use of memory for desired, expected or advantageous outcome. It is not just the use of memory, in which case, thought is also the use of memory, but intelligence is specifically for certain outcomes, for example to evade a predator or to trap a prey.

There are two types of intelligence, one is operational intelligence and the other is improvement intelligence. Operational intelligence is focused on doing routine things, for those outcomes.

For example, several instances of avoiding a predator are routine, the same for catching a prey. Those are general operations. However, to build a colony or store some meal away from other species, may require new strategies that may be an improvement from the last.

Operational and improvement intelligence have mild, mid and extreme ranges. So, there are cases where they can both apply to extents, for outcomes. Imagination for example, could be operational, it may also be improvement.

Imagination of relativity, or the laws of motion, are extreme improvement intelligence. And that is where the difference is, for them, from a lot of people.

Components of Intelligence

In neuroscience, neurons are implicated in all functions for human lives and experiences. This means that neurons are directly linked to how humans live. Neurons are cells and they have capped anatomic variations. However, when neurons function, they do so with electrical and chemical signals.

So, it is possible to postulate that electrical and chemical signals are the configurators or formation of functions. They can be said to do so in sets. Their sets are available conceptually in clusters of neurons. Electrical signals interact with chemical signals. There are attributes that determine how much they interact, helping to specify functions.

Simply, it is basic that electrical and chemical signals interact. But there are attributes that decide how much they interact ensuring that one function is different from the other or even the extent to those functions.

Some attributes of electrical signals are splits, intensity, edge sharpness, width and so forth. Some of the attributes of chemical signals are volume variation from one side of the set to the next, maximized volume, thick set, thin set, and so on.

Even as electrical and chemical signals are interacting all the time for functions, attributes determine how they do and by how much. So, all the labels like memory, emotions, feelings, intelligence, imagination, thinking, perception and so on are all by interactions, but with respective adjustments in attributes.

Improvement intelligence and operational intelligence often use similar attributes but there are deviations that make extreme cases possible at instances, and for some people.

For example, there is a lot of thinness in the width of electrical signals for improvement intelligence. There is also a lot of overlap between thick sets of chemical signals. Thick sets collect whatever is common between two or more thin sets. So, door is a thick set, having all the features of a door. It makes interpretation of any door fast and quick, while whatever is unique about a certain door is a thin set.

Now, thick sets are the maximum of collections. But there is an overlap of thick sets where some parts of thick sets align and change.

For example, a door is a thick set. It means the door has different parts. However, some of the parts like the materials, are also their own thick sets. What then happens is that some of those thick sets align, at times, overlapping, and then later, those overlaps change.

It is these overlaps that make it possible to have spontaneous imagination in some cases while not actively thinking about a problem, and so forth. The overlaps also help to do things differently at times or have a new insight to a problem, sometimes.

Einstein’s Brain

While there have been studies on the anatomy of the brain of Albert Einstein, explanations for its exceptionality could be physiological, conceptually, at least.

This means that the operations of its electrical and chemical signals are distinct enough to pierce through those problems at a level that other people would not match.

Simply, some sets may send off some electrical signals with very sharp edges that gets across thick sets, combining them into overlaps, faster than the natural course for other individuals.

Also, for thick sets that overlap, instead of maybe one to one, for Einstein, it could be one to four or more, in the same instance and then quick changes again, to new overlaps, varying across all possibilities.

There can also be splits in many directions, such that even if a set is not prioritized or in attention, it is possible that there are splits that bring a number of sets that should not really be reached, into consideration.

There are also sequences. Regularly, whatever is routine uses old sequences. This means that for procedures, there are repeated paths that electrical signals travel, making the relays and destinations feel normal. This is what makes it become somehow, once something in a procedure is missed.

Normally, sequences are a part of memory. For example, even without remembering all the details of an audio or say video, hearing or seeing it again, sometimes, would mean electrical signals used the same routes to get to sets.

It works the same way for things that are done regularly. It makes one thing follow another. Hence, sequences.

Old sequences however can be responsible for boredom. New sequences are useful for adventure, discovery and exploration. For some people, new sequences to regular routine might make things feel new.

This is the possibility for Einstein’s brain, where many processes go through new sequences, such that even old things appear like new, circumventing regular routes, and using new ones, with a fresh view on things.

This makes it possible to look at the same problem differently, even without trying and having the mind go to new directions as well for answers. It is what often makes it easy for Einstein to see regular things in new ways often.

There are other attributes for Einstein’s brain, as postulated in Conceptual Biomarkers and Theoretical Biological Factors for Psychiatric and Intelligence Nosology.

AI

Some people continue to argue that AI is not intelligent. That in general, humans are more similar to each other than AI is close to any human.

The way to measure intelligence is at least conceptual brain science, using mechanisms in the brain. This standard or nosology will apply to humans, animals and artificial intelligence.

This means that the same way that human intelligence is measured, AI also can. So, that it is possible to know how far it is coming, especially towards artificial general intelligence [AGI].

AI already has a substantial amount of operational knowledge [or say intelligence]. It knows about things and what to do with things.

AI also has new and old sequences. It can match some patterns in data, especially in biology and some of their fields that were not previously done by humans. This means it can use new sequences to improve knowledge [or say intelligence], aside from operating it.

AI uses computer memory — which is more permanent than human memory. Although, the memory does not collect similarities like thick sets of humans, limiting how much can be done for creativity.

Simply, since human memory is not that accurate, because of thick sets and variations in sequences, it is easier to come up with new things, or new perspectives, than the fixed pattern of memory.

AI is definitely intelligent at an operational level for many processes, especially how it can guide across knowledge areas — social and productively.

There are process necessities that AI can provide answers to, beyond the reach of several humans. Also, the economic value placed on priced human intelligence is in several professional areas, where AI can already provide guidance. So, in many work settings, people are accepted based on what they know [or say useful for], AI is already able to provide fractions of those. And there are human activities that use intelligence that are not considered economically competitive.

While there can be rewards for improvement intelligence, operational intelligence takes a chunk of regular labor value, even if humans still have the dynamism than AI. It means that AI is closer to humans for viable economic intelligence than distant.

For Einstein, the possible secret to his genius are the interactions and attributes of his electrical and chemical signals.

David Stephen currently does research in conceptual brain science with focus on the electrical and chemical configurators for how they mechanize the human mind with implications for mental health, disorders, neurotechnology, consciousness, learning, artificial intelligence and nurture. He was a visiting scholar in medical entomology at the University of Illinois at Urbana-Champaign, IL. He did computer vision research at Rovira i Virgili University, Tarragona.

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