For decades, cognitive psychology and neuroscience have operated under a seemingly unshakeable dogma: the human brain is physically incapable of true multitasking. We were told that what we call multitasking is actually an illusion—a rapid, exhausting process of "task-switching" where the brain frantically flips its attentional spotlight back and forth between two demands. This constant context-switching comes with a heavy cognitive tax, causing performance to plummet, error rates to spike, and mental fatigue to set in.
But a landmark study published in the Journal of Cognitive Neuroscience has shattered this consensus, proving that the human brain can indeed be trained to perform multiple complex tasks simultaneously.
Led by senior author Dr. Maximilian Riesenhuber, a professor of neuroscience at Georgetown University School of Medicine and co-director of the Center for Neuroengineering, and first author Dr. Patrick H. Cox, researchers discovered that intensive training physically reorganizes the brain’s neural architecture. By tracking the brains of participants over a rigorous multi-week training protocol, the Georgetown team captured a stunning neurological migration.
Through sheer repetition, the brain learned to bypass its primary cognitive bottleneck—the prefrontal cortex—and offload a highly practiced task to specialized, automated circuits in the temporal cortex. Once this physical relocation occurred, the prefrontal cortex was left completely free to handle other demanding operations. The result was not faster task-switching, but genuine, cost-free parallel processing.
This discovery carries profound implications for how we understand human learning, neuroplasticity, occupational training, and even the development of next-generation artificial intelligence. It reveals that the absolute limits of human cognitive capacity are far more elastic than previously believed—provided we train the brain in a highly specific, structurally transformative way.
The Myth of the Single-Track Mind: Why Science Thought Multitasking Was an Illusion
To understand why the Georgetown study is so significant, one must understand the traditional scientific view of cognitive control. Since the information-processing revolution of the 1950s, psychologists have compared the human brain to a computer with a single, highly restricted central processing unit (CPU).
At the center of this model is Donald Broadbent’s filter theory and subsequent formulations of the "central bottleneck" of information processing. According to this classic framework, when sensory information enters the brain, it can be processed in parallel during the early stages of perception (we can see a shape and hear a sound at the same time). However, when it comes to higher-level cognitive operations—such as identifying what an object is, making a decision, or planning a physical response—the brain must funnel this information through a narrow neurological pathway.
This pathway is managed by the prefrontal cortex (pFC), particularly the dorsolateral prefrontal cortex (dlPFC) and the inferior frontal junction (IFJ). The pFC serves as the brain's executive director, responsible for working memory, selective attention, and goal-directed behavior. When you are presented with two tasks simultaneously—for instance, navigating a complex spreadsheet while listening to a detailed presentation—both tasks compete for the limited resources of this executive control network.
Because the prefrontal cortex cannot process two novel, effortful decisions at the exact same millisecond, it establishes a queue. This is known in cognitive psychology as the Psychological Refractory Period (PRP). If Task B is presented while the prefrontal cortex is still processing Task A, the brain physically delays the execution of Task B until the bottleneck clears.
[Sensory Input: Task A & Task B]
│
▼
[PREFRONTAL CORTEX (pFC)] <--- The "Frontal Bottleneck" (Processes sequentially)
│ │
▼ ▼
[Task A] [Task B (Delayed)]
│ │
▼ ▼
[Motor Output] [Motor Output]When people attempt to force simultaneous execution, they engage in rapid task-switching. Every time the brain switches from Task A to Task B, it must:
- Deconstruct the mental framework (or "task set") of the first activity.
- Retrieve the rules and parameters of the second activity from long-term memory.
- Reconfigure the prefrontal networks to execute the new rules.
This process takes time—sometimes only a few hundred milliseconds, but enough to cause noticeable performance drops. Historically, anyone looking to discover how to multitask effectively was met with a chorus of discouragement from the scientific community: You can't. Your brain is structurally hardwired to do one thing at a time.
Inside the 30,000-Trial Odyssey: How the Georgetown Study Was Designed
The primary reason previous scientific studies failed to observe true multitasking is that they simply did not train their participants long enough. Most laboratory experiments on cognitive training or category learning are brief, typically lasting only a few hours across one or two sessions.
"Most previous research on learning has focused on the early stages, but what happens to the brain long-term is harder to study and less understood," Dr. Riesenhuber explained. In these short-term studies, researchers consistently observe increased activation in the prefrontal cortex as participants struggle to grasp the rules of a task. Because the task remains novel and effortful, it never escapes the frontal bottleneck.
To capture what happens when a skill becomes truly second nature, the Georgetown research team designed an exceptionally rigorous, longitudinal training audit.
They recruited a cohort of healthy adult participants and tasked them with learning a highly complex visual categorization game on their smartphones. The game required participants to view highly detailed, morphed images of cars and rapidly sort them into two distinct categories. To make correct classifications, participants could not rely on simple, obvious cues; they had to learn to spot incredibly subtle, multidimensional physical differences in the vehicle designs.
Morph Stage 0% (Category A) ───► Morph Stage 50% (Boundary) ───► Morph Stage 100% (Category B)
[Subtle visual variations: grille shape, headlight angle, roof slope]The training protocol was grueling:
- Volume: Participants completed more than 30,000 individual trials.
- Duration: The training was distributed over a period of five to ten weeks.
- Testing: Researchers used high-resolution functional Magnetic Resonance Imaging (fMRI) and electroencephalography (EEG) to scan the participants' brains at multiple critical milestones—specifically after "initial learning" (roughly 4 hours of practice across 1–2 weeks) and after "extensive training" (an additional 16+ hours of practice across 4–8 weeks).
By comparing these two distinct phases of expertise, the researchers were able to track not just how the brain handles a new skill, but the physical structural remodeling that occurs when a skill is driven deep into the brain's subconscious processing architecture.
From Executive Dictation to Local Autonomy: The Neurological Relocation
The fMRI and EEG scans revealed a stark, beautiful transition in how the brain processed the categorization task before and after the 30,000-trial training regime.
During the initial learning phase (the first few thousand trials), the scans looked exactly as traditional cognitive theory predicted. When a participant viewed a morphed car image, their visual cortex registered the basic shape, but the heavy lifting of categorizing that shape was performed by the prefrontal cortex. The pFC was highly active, painstakingly analyzing the visual variables, comparing them to rule sets stored in working memory, and selecting the appropriate motor response (which button to press).
At this stage, the task was entirely dependent on the executive control network. Because the pFC was fully occupied, trying to perform any other cognitively demanding task simultaneously caused immediate, severe performance degradation. The frontal bottleneck was in full effect.
By the extensive training phase (after 30,000 trials), the neural architecture had completely reorganized.
The fMRI scans showed that the prefrontal cortex had gone largely quiet during the task. Instead, the processing had migrated backward to the ventral occipitotemporal cortex (vOTC), a region in the temporal lobe highly specialized for high-level visual object recognition and memory encoding.
[EARLY LEARNING]
Visual Input ──► [Prefrontal Cortex (dlPFC/IFJ)] ──► Motor Output
▲ (Conscious deliberation, bottlenecked)
[EXTENSIVE TRAINING]
Visual Input ──► [Ventral Occipitotemporal Cortex (vOTC)] ──► Motor Output
▲ (Automatic, direct categorization bypasses pFC)The researchers made two critical structural discoveries regarding this migration:
1. Shape Selectivity Shifted to Category Selectivity
Initially, the neurons in the visual areas of the vOTC only responded to basic physical shapes (e.g., the curves and angles of the cars). But after 30,000 trials, these sensory neurons physically remodeled themselves. They began exhibiting category selectivity.
The visual cortex itself had learned the abstract rules of the categories. Instead of sending raw sensory data to the prefrontal cortex for cognitive analysis, the vOTC processed the image, recognized the category instantly at a sensory level, and prepared the decision locally.
2. Synaptic Bypassing of the Frontal Bottleneck
Crucially, the functional connectivity—the communication pathway—between the vOTC and the prefrontal cortex dropped dramatically.
Simultaneously, the connectivity between the vOTC and the motor cortex (the region responsible for executing physical movements, like pressing a button) increased significantly.
The brain had physically built a new, direct neural pipeline. The information skipped the prefrontal cortex entirely, flowing directly from visual perception to motor output.
"Experience remodels the brain to bypass that frontal bottleneck," Dr. Riesenhuber explained. "The prefrontal cortex then stays free for whatever else you want to do, increasing your capacity."
Dismantling the Bottleneck: Why Freeing the Prefrontal Cortex Changes Everything
To confirm that this physical relocation of neural circuitry actually enabled true multitasking, the Georgetown researchers subjected the participants to a dual-task test. While sorting the morphed car images, participants were simultaneously presented with a completely unrelated, cognitively demanding secondary task.
The behavioral data was unequivocal: the more a participant's brain had offloaded the categorization task from the prefrontal cortex to the temporal cortex, the better they performed on the secondary task.
Prefrontal Offloading Score (vOTC-pFC decoupling) ───► High
│
▼
Dual-Task Interference (Performance Drop on Task B) ───► Near ZeroWhen the categorization task was processed in the vOTC, it ran like a background program on a computer. It no longer required conscious attention, working memory, or executive deliberation. The prefrontal cortex remained completely unburdened, allowing the participant to dedicate 100% of their conscious executive capacity to the second task.
This is the ultimate neurobiological blueprint for how to multitask effectively. True multitasking is not achieved by learning how to divide your attention more rapidly or by forcing your prefrontal cortex to work harder. Rather, it is achieved by driving a specific, highly repeatable task so deeply into the brain's specialized sensory and motor circuits that it no longer requires the prefrontal cortex to run.
We see this phenomenon in everyday life, though we rarely stop to analyze its profound neurological mechanics.
Consider driving a car. To a novice driver, operating a vehicle is a high-stakes, prefrontal-dominated nightmare. Every variable—the position of the steering wheel, the pressure on the gas pedal, the distance of the car ahead, the meaning of a road sign—must be consciously processed by the executive control network. If a passenger tries to engage a novice driver in a complex conversation, the driver will likely freeze, make a mistake, or miss a turn. Their prefrontal cortex is bottlenecked.
However, for a seasoned driver who has spent hundreds of hours behind the wheel, the mechanical and visual categorization tasks of driving have migrated out of the prefrontal cortex. The temporal and motor cortices handle the visual patterns of traffic and the physical dynamics of steering and braking. The prefrontal cortex is completely freed, allowing the experienced driver to hold a deep philosophical debate, listen to an intricate audiobook, or plan their entire work week—all while navigating safely through highway traffic.
This is not rapid task-switching. It is true, concurrent, parallel processing enabled by physical neural reorganization.
The Biological Limits of Parallel Processing: When Multitasking Still Fails
While the Georgetown study proves that true multitasking is possible, it also clearly defines the strict biological and structural boundaries of this capability. Remodeling your brain architecture does not give you an infinite capacity to process information simultaneously.
"Another really interesting question is what kinds of tasks can be learned well enough to do in parallel," Dr. Patrick Cox noted. "We can walk and chew gum at the same time, but looking at our phones to text while driving will never be safe, because we take our eyes away from the road. It comes down to being able to train fully separate neural circuits for two tasks to become compatible."
Three primary factors dictate whether two tasks can be successfully performed in parallel:
1. Structural and Sensory Interference
Even if a task is highly automated and bypasses the prefrontal cortex, it still requires physical sensory organs and motor pathways to execute. If two tasks compete for the exact same physical resources, multitasking will fail.
For example, texting while driving requires your eyes to look at a screen and your hands to type. Driving requires your eyes to look at the road and your hands to hold the steering wheel. Because these tasks create immediate physical and structural conflicts in visual attention and manual motor control, no amount of cognitive training can ever make them safe to perform simultaneously.
2. Modality Cross-Talk
In cognitive science, the modality effect refers to how the brain receives and processes information (e.g., visual vs. auditory, manual vs. vocal).
Multitasking is vastly more successful when the tasks utilize entirely different sensory input and motor output modalities. It is highly compatible to listen to a lecture (auditory input) while knitting a sweater (manual motor output) because the neural networks governing auditory processing and hand-eye tactile coordination are highly distinct and spatially segregated.
If both tasks require the same modality—such as reading a book while listening to a podcast (both requiring linguistic processing)—the linguistic networks of the brain experience intense cross-talk and collision, causing the system to fail.
┌───────────────────────── Multitasking Compatibility Matrix ─────────────────────────┐
│ Task A: Auditory Input │
│ (e.g., Audiobook) │
│ │ │
│ ┌────────────────────┴────────────────────┐ │
│ ▼ ▼ │
│ Task B: Visual/Manual Task B: Linguistic/Verbal │
│ (e.g., Knitting) (e.g., Writing Email) │
│ │ │ │
│ ▼ ▼ │
│ [ HIGH COMPATIBILITY ] [ EXTREME COLLISION ] │
│ Distinct neural pathways Overlapping linguistic networks │
└─────────────────────────────────────────────────────────────────────────────────────┘3. The Requirement of Dynamic Decision-Making
A task can only be offloaded to the automated sensory-motor circuits of the temporal cortex if it is highly predictable, patterned, and repeatable.
If a task requires continuous, non-patterned, novel decision-making in a rapidly changing environment, it must remain under the control of the prefrontal cortex. You can automate the physical mechanics of playing the piano, but you cannot automate the act of composing a brand-new melody on the spot. Composing requires conscious executive deliberation, meaning it will always remain subject to the frontal bottleneck.
A Science-Backed Protocol: How to Multitask Effectively
Armed with this new understanding of neuroplasticity and the physical reorganization of the brain, we can construct a practical, evidence-based protocol for how to multitask effectively in our daily, professional, and creative lives.
The old advice of "just focus on one thing" is increasingly impractical in a modern world that demands high cognitive throughput. Instead, the modern standard for cognitive performance is to strategically automate specific sub-tasks to free up our precious prefrontal resources.
To achieve this level of high-performance parallel processing, you must follow a structured training methodology:
Step 1: Identify the "Anchor Task" and its Sub-skills
You cannot automate an entire complex job, but you can automate the foundational sub-skills that make up that job. An "anchor task" is the primary activity that you want to run on autopilot while keeping your conscious mind free for other things.
- For a Public Speaker: The anchor task is the delivery of the memorized speech. The sub-skill to automate is the physical verbal delivery and pacing.
- For a Software Developer: The anchor task is typing syntax and using keyboard shortcuts. The sub-skill to automate is the mechanical interaction with the IDE (Integrated Development Environment).
- For a Musician: The anchor task is playing a complex chord progression. The sub-skill to automate is the finger muscle memory.
Step 2: Commit to the Rule of Hyper-Automation (Isolate and Drill)
The most common mistake people make when trying to learn how to multitask effectively is attempting to perform multiple tasks before any of them are truly automated. This is cognitive suicide; it locks both tasks in the prefrontal cortex, leading to sub-par performance, errors, and high stress.
To properly automate a sub-skill, you must isolate it and practice it in complete, undistracted isolation. You must run this practice far past the point of basic competence.
In the Georgetown study, participants didn't just practice until they were "good" at the visual categorization game; they performed over 30,000 trials. This level of extreme overlearning is what signals the brain that this pathway is of paramount importance, triggering the physical migration of the neural circuit from the prefrontal cortex to the temporal cortex.
- The Action: Take the core mechanical or visual pattern-recognition tasks of your profession and drill them with obsessive frequency. If you are a writer, master touch-typing and keyboard shortcuts so thoroughly that your physical fingers move instantly to express your thoughts without you having to consciously think about where the keys are.
[Isolate Sub-Skill]
│
▼
[Hyper-Automate Drill] (Target: 10,000+ Repetitions)
│
▼
[Validate Neural Relocation] (Execute task with zero cognitive load)
│
▼
[Safely Introduce Secondary Task]Step 3: Map Your Sensory and Motor Modalities
Before you attempt to perform your automated anchor task alongside a secondary task, map their sensory input and motor output channels to ensure there is zero physical or cognitive overlap.
- The Audit:
What sensory organs does Task A require? (Eyes, ears, touch?)
What motor outputs does Task A require? (Hands, vocal cords, feet?)
What does Task B require?
- The Strategy: If there is a clash (e.g., both require reading text), do not attempt them simultaneously. If they are structurally compatible (e.g., Task A requires manual motor output/visual processing, while Task B requires auditory processing/verbal output), they are prime candidates for high-performance parallel processing.
Step 4: Graduate to Dual-Task Integration
Once the anchor task requires zero conscious executive thought and you have verified modality compatibility, slowly introduce the secondary task.
Start in a low-stakes environment. For example, if you are a surgical resident training in laparoscopic surgery, you first practice the physical movements of the robotic arms in a simulator until they are entirely automated in your temporal and motor cortices. Once automated, your senior surgeon will intentionally ask you complex medical questions or demand decision-making during the procedure.
Because your physical movements have been offloaded from your prefrontal cortex, your executive brain is wide open to process the clinical decision-making without compromising the physical safety of the patient.
Compulsive Traps and Cognitive Resilience: The Clinical Implications
The discovery that extensive practice physically relocates task processing to subconscious, automated brain structures does more than help us understand how to optimize human performance. It provides a powerful new lens through which we can understand cognitive health, aging, and psychological disorders.
The Neurology of Habits and Addiction
"The findings can also have implications for understanding compulsive behaviors, because they demonstrate that learned behaviors move into brain circuits that are less accessible to conscious thought or executive function," Dr. Riesenhuber noted.
When a habit—whether it is a minor nervous tic, a compulsive smartphone-checking routine, or a deep-seated behavioral addiction—is repeated thousands of times, it undergoes the exact same structural migration as the car-sorting task in the Georgetown study. It bypasses the prefrontal cortex entirely.
This explains why common cognitive strategies, such as telling yourself to "just think of something else" or attempting to consciously "will" yourself to stop a compulsive behavior, are notoriously ineffective.
"The first step to unlearning something is understanding where it is actually happening in the brain," Riesenhuber explained. "This shows why strategies like telling someone to think of something else don't really help, because they don't really have the behavior under conscious control."
Because the behavior has bypassed the executive control center, it is triggered directly by sensory inputs (cues) reacting straight to motor outputs. To break these compulsions, therapeutic interventions must focus on disrupting the sensory cues themselves or physically rewriting the automated sensory-motor loop through behavioral therapy, rather than relying on conscious willpower.
[CONSCIOUS HABIT (pFC Managed)]
Trigger ──► Conscious Thought (pFC) ──► Action (Willpower can intervene)
[COMPULSIVE HABIT (Temporally Offloaded)]
Trigger ──► Automated Pathway (vOTC) ──► Action (Bypasses pFC; Willpower cannot reach)Cognitive Resilience and the Aging Brain
As we age, our prefrontal cortex naturally experiences a decline in grey matter volume and synaptic density, leading to a steady degradation of working memory and executive control. This decline is why older adults often struggle with multitasking, finding it increasingly difficult to manage complex, fast-paced environments.
However, this new research suggests that targeted cognitive training can help older adults bypass these age-related prefrontal bottlenecks.
To explore this potential, researchers at Rutgers Health launched the federally funded MUltitasking STrategy Training Study (MUST Study) in mid-2026. Supported by the National Institutes of Health’s National Institute on Aging, the study is recruiting healthy adults aged 60 to 75 to evaluate how online, targeted cognitive training can improve multitasking abilities.
Participants in the MUST Study engage with "The Breakfast Game," an online training program designed to simulate real-life multitasking environments. In the game, players must set dining tables according to highly specific rules while simultaneously cooking different food items under strict, timed conditions.
"While we are often told to avoid multitasking, life frequently demands it," said Dr. Sharon Sanz Simon, a neuropsychologist and assistant professor of psychiatry at Rutgers New Jersey Medical School. "Whether you are preparing a complex meal while managing a conversation or navigating a busy street while following directions, multitasking is unavoidable."
By training older adults to automate the basic, repeatable rules of daily tasks (such as kitchen mechanics or visual navigation cues), researchers aim to strengthen their attentional control and physically remodel their neural pathways. Offloading these tasks from a struggling prefrontal cortex to more resilient, automated sensory-motor structures can dramatically improve functional independence, safety, and overall quality of life in aging populations.
Human vs. Machine: What the Brain Can Teach Artificial Intelligence
The Georgetown study's findings also offer a profound masterclass for the field of computer science and the engineering of artificial intelligence.
Despite their staggering computational power, modern deep learning models and Large Language Models (LLMs) suffer from a fundamental architectural flaw known as catastrophic forgetting. When a modern AI model is trained on Task A, it adjusts its weights to maximize performance on that specific objective. However, if the same model is subsequently trained on Task B, the new training often overwrites the weights established for Task A. The machine "forgets" how to perform the first task unless it is constantly retrained on both tasks simultaneously.
Furthermore, artificial intelligence lacks the human ability of modular, continuous skill-building. Humans are incredibly adept at taking a highly automated, deeply learned skill and using it as a solid, modular building block to learn something new.
┌───────────────────────── Cognitive Architecture Comparison ────────────────────────┐
│ HUMAN BRAIN (Modular Reorganization) CURRENT ARTIFICIAL INTELLIGENCE │
│ │
│ [PREFRONTAL CORTEX (pFC)] [SINGLE NEURAL NETWORK] │
│ │ │ │
│ ▼ (Training automates skill) ▼ (New training overwrites old) │
│ [TEMPORAL CORTEX (vOTC)] [CATASTROPHIC FORGETTING] │
│ │ │ │
│ ▼ (Freed pFC learns next skill) ▼ │
│ Continuous, hierarchical learning Requires constant massive retraining │
└────────────────────────────────────────────────────────────────────────────────────┘According to Dr. Riesenhuber, the brain's ability to migrate learned skills out of the prefrontal cortex is the exact mechanism that prevents catastrophic forgetting in humans and enables our continuous, lifelong learning efficiency.
When we spend weeks automating a task, we physically move its processing to localized networks in the temporal cortex. This effectively "saves" the skill as a secure, independent, compiled background module. Because the prefrontal cortex is completely cleared and reset, we can immediately begin learning a brand-new, complex skill without corrupting or overwriting the skill we just automated. In fact, we can use that automated temporal module as a reliable, unconscious foundation to support the execution of the new skill.
By studying and mimicking this dual-system architecture—where a flexible, high-level reasoning core (the "artificial prefrontal cortex") dynamically offloads stabilized, highly repetitive tasks to separate, specialized, low-level sensory networks (the "artificial temporal cortex")—AI engineers could build neural networks that are dramatically more efficient, modular, and capable of adapting to complex, real-world environments without constant, energy-intensive retraining.
What to Watch: The Next Frontiers of Neuroplasticity
As we move forward, the breakthrough discovery that the brain physically remodels itself to escape the frontal bottleneck opens up a series of exciting scientific and technological questions.
Currently, the Georgetown research team is pivoting to investigate the precise neurological triggers that initiate this migration.
- What are the exact neurochemical signals that tell the brain a task has been practiced enough to be moved out of the prefrontal cortex?
- Can we use targeted non-invasive brain stimulation, such as Transcranial Direct Current Stimulation (tDCS) or Transcranial Magnetic Stimulation (TMS), to accelerate this migration process?
- Could we theoretically reduce the required 30,000 trials of practice down to 5,000 trials by structurally priming the visual and temporal cortices during training?
Furthermore, researchers want to establish a comprehensive map of "circuit compatibility," identifying exactly which types of professional, athletic, and cognitive skills can be successfully paired in parallel, and which are destined to eternally clash due to physical, sensory, or motor bottlenecks.
For the general public, the lesson of this neurological breakthrough is highly empowering.
The frustrating mental blocks and exhausting cognitive drops we experience during a busy workday are not a permanent, unchangeable limitation of human biology. They are simply a sign of an unoptimized brain—a system where too many tasks are still competing for the precious, limited resources of the prefrontal cortex.
By selecting our core skills, committing to disciplined, isolated hyper-automation, and understanding how our brains physically process information, we can literally rebuild our neural architecture. We can bypass the frontal bottleneck, run our most complex skills on autopilot, and step into a new realm of human cognitive potential.
Scientific References & Resources
- Study Title: Extensive Experience Remodels Neural Task Circuitry to Escape the Frontal Bottleneck and Increase Automaticity of Categorization
- Journal: Journal of Cognitive Neuroscience*
- Lead Researchers: Dr. Patrick H. Cox, Dr. Maximilian Riesenhuber (Georgetown University Medical Center)
- Funding Bodies: National Science Foundation, Army Research Laboratory, ARCS Foundation
Reference:
- https://www.sciencedaily.com/releases/2026/07/260712011912.htm
- https://neurosciencenews.com/true-multitasking-brain-rewiring-30821/
- https://www.whalesbook.com/news/English/science-space/Georgetown-Study-Reveals-Brain-Can-Truly-Multitask-With-Practice/6a54bcdb1210e3dc99a7f102
- https://pmc.ncbi.nlm.nih.gov/articles/PMC4655545/
- https://www.sciencedaily.com/releases/2026/07/260712011912.htm
- https://www.epocrates.com/online/article/multitasking-the-brain-rewires-to-make-it-work
- https://medicine.georgetown.edu/news-releases/georgetown-researchers-show-how-brain-rewires-itself-to-enable-true-multitasking/
- https://pmc.ncbi.nlm.nih.gov/articles/PMC2713348/
- https://wrnjradio.com/rutgers-researchers-seek-participants-for-study-on-multitasking-and-aging/
- https://read.qxmd.com/read/42237636/extensive-experience-remodels-neural-task-circuitry-to-escape-the-frontal-bottleneck-and-increase-automaticity-of-categorization
- https://jov.arvojournals.org/article.aspx?articleid=2809326
- https://medicine.georgetown.edu/news-releases/georgetown-researchers-show-how-brain-rewires-itself-to-enable-true-multitasking/
- https://direct.mit.edu/jocn/article/doi/10.1162/JOCN.a.2618/136691/Extensive-Experience-Remodels-Neural-Task
- https://scitechdaily.com/scientists-discover-the-brain-can-rewire-itself-to-truly-multitask/
- https://neurosciencenews.com/true-multitasking-brain-rewiring-30821/
- https://www.inc.com/lucia-auerbach/think-multitasking-is-impossible-new-brain-study-says-we-have-been-wrong-for-years/91355752
