> ## Content Index
> Fetch the complete content index at: https://www.thegalacticmind.com/llms.txt
> Use this file to discover other available public pages before exploring further.

# Earl Miller and the Brain’s Hidden Wave Language
- URL: https://www.thegalacticmind.com/earl-miller-and-the-brains-hidden-wave-language/
- Published: 2026-10-04T18:25:17.000Z
- Updated: 2026-10-04T18:25:17.000Z
- Description: A map of the brain’s connections may reveal its possible pathways without explaining how thought finds its way through them. Earl Miller and his colleagues propose that moving waves help organize the journey and may perform some of the computation.
- Author: James Cloman II
- Tags: Dossier, Consciousness, Mind & Influence, Speculative Science

*MIT neuroscientist Earl K. Miller has spent decades studying how the brain organizes thought. A proposal developed with Scott L. Brincat and Jefferson E. Roy asks whether moving waves of activity help perform that organization—and some of the computation itself.*

A map of a brain could tell you which neurons connect to which others. It would not, by itself, tell you why the same person can spend one moment remembering a name, the next resisting a distraction, and the next reconsidering what someone meant.

The physical connections make these activities possible. Something also has to organize their use as circumstances change.

That problem runs through the work of Earl K. Miller, the Picower Professor of Neuroscience at MIT. His laboratory studies how we keep information available, apply rules, and direct behavior toward a goal. These are ordinary abilities with an extraordinary requirement: large populations of neurons must cooperate quickly, then rearrange their cooperation when the situation changes.

In [“Analog Cognition and Consciousness,” published in the *Journal of Neuroscience* on August 19, 2026](https://www.jneurosci.org/content/46/33/e0711262026?ref=thegalacticmind.com), Miller and MIT research scientists Scott L. Brincat and Jefferson E. Roy propose a mechanism. Traveling patterns of electrical activity could coordinate neural populations, while interactions between those patterns could perform analog computations. The paper is a review and theoretical synthesis, rather than a new experiment demonstrating the complete mechanism.

Its central question is worth holding onto: **Could the brain’s moving patterns reveal something that a map of its connections alone cannot?**

“Wave language” is an editorial metaphor for that possibility. It means patterns that could organize information and influence its use; it does not mean researchers have discovered a literal alphabet of thought.

![](https://storage.ghost.io/c/2b/dd/2bddb260-75ab-46da-9a88-bea104d7a531/content/images/2026/10/Quiet-Editorial-Portrait-in-Monochrome.png)

Earl K. Miller, MIT’s Picower Professor of Neuroscience, studies how neural activity supports working memory, attention, and the flexible control of thought. [Picower Institute](https://picower.mit.edu/earl-k-miller?utm%5Fsource=chatgpt.com)

## How a goal changes what a neuron does

Miller’s route to this question began with experimental work on memory and cognition. He earned his doctorate in psychology and neuroscience at Princeton, completed postdoctoral training at the National Institute of Mental Health, and joined MIT in 1995\. His laboratory combines recordings from multiple electrodes with behavioral tasks and computational analysis, concentrating much of its work on the prefrontal cortex, toward the front of the brain. [MIT’s research profile](https://picower.mit.edu/earl-k-miller?ref=thegalacticmind.com) describes a consistent concern: how neural activity helps an animal pursue a goal rather than simply react.

Working memory is the temporary availability of information you still need: the beginning of a sentence while you read its ending, or a direction while you look for the next turn. Cognitive control is the broader ability to guide attention and action using goals and rules. It allows the same input to lead to different responses in different circumstances.

In their [2001 theory of prefrontal cortex function](https://doi.org/10.1146/annurev.neuro.24.1.167?ref=thegalacticmind.com), Miller and Jonathan D. Cohen proposed that activity representing goals biases processing elsewhere in the brain. Imagine seeing a familiar notification while trying to finish a paragraph. Recognizing it and choosing whether to respond are different operations. The current goal has to influence which action wins.

The flexibility appears inside individual neurons, too. A cell may respond to a combination of an object, a task, and the object’s position in a sequence. Its activity cannot always be explained by assigning it one permanent job.

A [2013 *Nature* study led by Mattia Rigotti, with Miller, Stefano Fusi, and other collaborators](https://doi.org/10.1038/nature12160?ref=thegalacticmind.com), examined this “mixed selectivity” in monkeys remembering sequences of objects. The apparently untidy responses gave the population a richer way to represent task information. The researchers also found that a measure of this representational richness fell on error trials.

For Miller, such findings sharpened the organizational problem. A reusable population can support many combinations of information. How does the brain select the combination needed now?

## A memory can return in bursts

An electrode can record the brief electrical impulses called spikes, as well as slower voltage fluctuations generated by collective neural activity. The latter are called local field potentials. Looking at both provides different views of the same working tissue.

Miller’s collaborators began finding that the time structure mattered more than an average might suggest. In [“Gamma and Beta Bursts Underlie Working Memory,” published online March 17, 2016](https://doi.org/10.1016/j.neuron.2016.02.028?ref=thegalacticmind.com), Mikael Lundqvist and colleagues reported brief bursts of activity during monkey working-memory tasks. Gamma bursts were associated with spiking that carried information about the remembered items. Beta activity showed a different, often opposing pattern.

This challenged a familiar picture in which a memory is maintained by an uninterrupted elevation of firing. Averaging many trials can make intermittent events appear more continuous, especially when those events occur at different moments on different trials. The finding did not make sustained activity disappear from neuroscience; it made the distinction between an average and an individual episode harder to ignore.

A [2018 follow-up by Lundqvist, Pawel Herman, Melissa R. Warden, Brincat, and Miller](https://www.nature.com/articles/s41467-017-02791-8?ref=thegalacticmind.com) examined monkeys comparing remembered object sequences. Before an object’s memory was needed for a decision, gamma bursting and information about that object increased while beta decreased. When the information was no longer needed, the relationship reversed. Departures from these patterns predicted mistakes.

The implication was more specific than “brain waves accompany memory.” Different rhythms appeared to track when information became available for use and when it was suppressed. That offered Miller a candidate mechanism for control.

## The rhythms that open and close opportunities

Alpha, beta, and gamma name frequency ranges: how many cycles of an oscillation occur each second. Boundaries vary between studies, but alpha is roughly 8–12 cycles per second, beta about 13–30, and gamma faster than about 30\. These are descriptive bands, not three separate substances flowing through the brain.

In the framework developed by Miller and his collaborators, alpha and beta are particularly important for shaping access to information. Alpha activity in sensory systems is often associated with suppressing irrelevant input. Beta activity in higher cortical areas can reflect task conditions and constrain the expression of information. Gamma bursts are associated with more local processing and information-bearing spikes, including the reactivation of remembered material.

Consider holding a telephone number in mind while another person speaks. A useful system must preserve access to the number while limiting interference from the new input. Later, it must make the number available when you type it. This is an everyday illustration of the control problem, not a claim that a particular frequency contains telephone numbers.

The crucial proposal is about **where and when information can be expressed**. In their [2023 spatial-computing study](https://www.nature.com/articles/s41467-023-36555-4?ref=thegalacticmind.com), Lundqvist, Brincat, Miller, Herman, and colleagues proposed that spatial patterns of oscillatory activity help assign information a role within a task. A control process could act on a region of the network without separately addressing every neuron representing a particular object.

Think of a changing pattern of permitted and restricted activity across a cortical surface. Altering that pattern could allow the same neural resources to participate in a different operation. The authors describe the suppressive patterns as stencils: their openings matter as much as the areas they cover.

Zhen Chen and colleagues subsequently tested predictions of this account in [“Oscillatory control of cortical space as a computational dimension”](https://doi.org/10.1016/j.cub.2025.11.072?ref=thegalacticmind.com), published online December 23, 2025, before its January 19, 2026 issue date. Across monkey memory and categorization tasks, alpha/beta patterns reflected task context, varied across cortical space, and were inversely related to the expression of sensory information in spiking. They also tracked aspects of the animals’ decisions and errors.

Those are meaningful observations supporting spatial organization. Recording a relationship, however, leaves open how much the oscillations cause the organization and how much both reflect another circuit process. Nor does a frequency band have one universal function across every region, task, and brain state.

## When the pattern starts to move

A rhythm at one electrode is only a local observation. To establish a traveling wave, researchers look for an ordered progression of the activity’s phase across recording sites. Phase means position within a cycle: near its peak, its trough, or somewhere between.

In [a study published January 28, 2022](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009827&ref=thegalacticmind.com), Sayak Bhattacharya, Brincat, Lundqvist, and Miller found traveling theta, alpha, and beta patterns in monkey prefrontal cortex. Some moved approximately across the recording area; many rotated. Their prevalence and direction changed during the working-memory task.

The traveling entity is an activity pattern. Neurons do not move across the brain like water in a current, and these measurements do not depict thoughts being broadcast as radio messages.

Another step came in [work by Tamal Batabyal and Brincat, who contributed equally, with their collaborators](https://doi.org/10.1162/JOCN.a.2410?ref=thegalacticmind.com). Following distractions during memory tasks, neural population activity traced a rotation back toward its earlier state. Fuller rotations were associated with correct performance. The team also found a correspondence between these mathematical trajectories and waves rotating across the recorded cortical surface.

The study, published online in November 2025 and assigned to an April 2026 issue, linked a description of population behavior to a physical pattern in tissue. It suggested a way the brain might recover its place after interruption. It did not establish that the rotation alone caused recovery.

![](https://storage.ghost.io/c/2b/dd/2bddb260-75ab-46da-9a88-bea104d7a531/content/images/2026/10/Traveling_Waves_Research_Figure.png)

Recordings from monkey prefrontal cortex reveal activity patterns moving across neighboring recording sites during a working-memory task. The maps show changes in electrical activity over time, providing evidence of traveling waves without establishing the complete analog-computation theory.

## When a moving pattern becomes a calculation

Here Miller’s proposal takes its most ambitious step. Organizing activity is one role; transforming information through the physical interaction of waves is another.

Analog computation represents quantities through continuously varying physical properties. A mechanical device can use the rotation of a shaft; an electrical device can use voltage. The physical system’s behavior carries out the transformation. Digital computation instead represents information using discrete states. Digital machines can also compute in parallel, so parallelism alone does not distinguish the two.

Miller had brought the wave-computation argument to a broad scientific audience by his [November 15, 2025 presidential lecture at the Society for Neuroscience meeting](https://picower.mit.edu/news/brain-waves-analog-organization-cortex-enables-cognition-and-consciousness-mit-professor?ref=thegalacticmind.com). One intuitive starting point is superposition. Overlapping waves combine: their relative timing can strengthen or weaken the resulting signal. In an appropriately organized physical system, that interaction can transform represented inputs into an output.

The 2026 review offers a hypothetical cognitive example: separate wave patterns represent an item’s order and the kind of response a task requires. Their combination produces a pattern specific to the joint conditions, potentially directing neural activity accordingly. This is a proposed computation, illustrated schematically, rather than a reported observation of those two control waves performing it.

The distinction matters. A rhythmic signal becomes evidence for a particular computation only when researchers can identify what its changing properties represent, specify the transformation, and show that the result is used. A wave can accompany thinking without itself implementing the proposed operation.

Miller acknowledges that gap. In [MIT’s September 1, 2026 account](https://news.mit.edu/2026/cognition-consciousness-arise-from-analog-computations-says-new-theory-0901?ref=thegalacticmind.com), he says: “This is a theory. We aim to test it by looking for signatures of analog computation in brain wave patterns.”

![](https://storage.ghost.io/c/2b/dd/2bddb260-75ab-46da-9a88-bea104d7a531/content/images/2026/10/Wave_Timing_Explainer.png)

Illustration: Changing the relative timing of two waves changes their combined signal. This idealized example explains wave superposition, a principle relevant to the proposed computation; it is not a recording of brain activity.

Explore the people, research, and questions changing how we understand mind and reality. Receive The Galactic Mind’s free weekly Digest.

Subscribe 

Email sent! Check your inbox to complete your signup. 

No spam. Unsubscribe anytime.

## Can the field influence the cells that produce it?

A further part of Miller’s argument concerns the relationship between neurons and the electrical environment around them.

Neural activity generates extracellular electric fields. Those fields can, in turn, slightly change the voltage across nearby neurons’ membranes and influence their firing. This interaction, called ephaptic coupling, occurs without passing the influence through a synaptic junction. It provides a possible feedback route between collective activity and individual cells.

There is experimental evidence for such effects independent of Miller’s theory. In [a 2011 study by Costas Anastassiou, Rodrigo Perin, Henry Markram, and Christof Koch](https://pubmed.ncbi.nlm.nih.gov/21240273/?ref=thegalacticmind.com), applied fields influenced the timing of spikes in neurons in rat cortical slices. Small voltage changes could have substantial timing effects, especially for slow field fluctuations. This establishes a physical possibility in a controlled preparation, rather than a demonstration of human thought being computed by fields.

Miller and Dimitris Pinotsis have investigated the question in recordings associated with working memory. Their [June 2, 2026 *Cerebral Cortex* paper](https://pubmed.ncbi.nlm.nih.gov/42411828/?ref=thegalacticmind.com) used prefrontal local-field-potential data and a model relating neural activity to nearby electric fields. They reported inferred field-to-neuron influences associated with trial-to-trial changes in oscillatory power.

The relevant caution is methodological. Estimating directional influence from measurements and a model is different from selectively changing the endogenous field while holding other influences under control. Shared inputs, unmeasured activity, and model assumptions must be considered. The existence of ephaptic effects does not establish their computational importance at every scale.

For Miller’s larger account, the important possibility is a feedback loop: cells contribute to a collective pattern, and that pattern helps shape what the cells do next. How strongly that loop contributes to flexible cognition remains an experimental question.

## The disagreements that sharpen the theory

The most useful challenge to this proposal begins with an alternative that can easily be lost in the excitement: a circuit can change its activity rapidly without changing its wiring.

Recurrent connections, inhibition, and changing inputs allow the same network to produce different activity patterns. Even Miller and Cohen’s 2001 account emphasized active goal representations influencing other pathways. Demonstrating that rewiring is too slow therefore cannot, by itself, establish that field-mediated analog computation is necessary. The new account must explain observations better, or make distinctive predictions that competing mechanisms fail to meet.

There is also a documented disagreement within Miller’s own research territory. In a [2018 *Journal of Neuroscience* perspective](https://pmc.ncbi.nlm.nih.gov/articles/PMC6083457/?ref=thegalacticmind.com), Christos Constantinidis and colleagues defended persistent spiking as a mechanism of working memory. Among their arguments, they questioned whether intermittent bursts could explain the measured variability of firing if apparently persistent activity were mainly an averaging artifact.

The journal paired it with [a companion perspective by Lundqvist, Herman, and Miller](https://pmc.ncbi.nlm.nih.gov/articles/PMC6083456/?ref=thegalacticmind.com), emphasizing sparse, dynamic activity and the limitations of trial averages. This was an earlier dispute about memory maintenance, not a published refutation of the 2026 analog theory. It shows why bursts and oscillations should be integrated into the evidence without declaring other mechanisms obsolete.

Several experiments could make the newer proposal more decisive. These are tests suggested by the logic of the account, not results already obtained:

1. **Predict a specific transformation.** Identify two task variables represented in wave properties, predict their combined effect on neural activity, and test the prediction on new combinations. A flexible mathematical fit after the event would be weaker evidence.
2. **Change the spatial pattern while controlling simpler explanations.** Perturb phase or direction with carefully matched stimulation, then ask whether information moves and behavior changes as predicted. Comparisons should distinguish wave geometry from overall activity level, arousal, or stimulation effects unrelated to the task.
3. **Compare mechanisms that make different predictions.** Test models with and without consequential field feedback against the same recordings and interventions. If synaptic dynamics explain the results equally well, the stronger ephaptic claim remains unnecessary for that task.

Replicating the key relationships across laboratories, tasks, and human measurements would also establish how far they generalize beyond the particular cortical areas and trained behaviors studied so far.

## What organized thought can tell us about experience

Miller, Brincat, and Roy extend their proposal to consciousness: wave-mediated organization might help bind distributed processing into an integrated state. This addresses a real difficulty. Seeing an object, recognizing it, remembering its relevance, and deciding what to do involve distributed activity, yet ordinary experience usually presents a connected situation.

Miller’s collaboration with anesthesiologist and neuroscientist Emery N. Brown provides another route into this problem. Anesthesia can profoundly change brain function while leaving the underlying anatomical connections largely present.

In [a 2025 study led by Alexandra G. Bardon](https://pubmed.ncbi.nlm.nih.gov/40349347/?ref=thegalacticmind.com), ketamine and dexmedetomidine altered relationships between oscillations in monkey prefrontal cortex. Within a hemisphere, recorded regions became more opposed in phase; corresponding regions across hemispheres became more aligned. The pattern matters: the result was not simply that “more synchrony means more consciousness.” Different spatial relationships changed in different ways.

[A separate study led by Adam J. Eisen, published online March 17, 2026](https://pubmed.ncbi.nlm.nih.gov/41850281/?ref=thegalacticmind.com), examined propofol, ketamine, and dexmedetomidine. Despite their differing molecular actions, the drugs produced a shared destabilization of cortical population dynamics, including slower recovery following sensory perturbations. That supports investigating organization across populations as well as individual drug targets. It does not show that the three drugs have identical effects in every respect, or specifically demonstrate analog wave arithmetic.

These findings make the larger proposal interesting, but consciousness adds another evidential problem. Behavioral unresponsiveness does not reliably establish the absence of all experience. Robert Sanders and colleagues explained this distinction in [“Unresponsiveness ≠ Unconsciousness”](https://pmc.ncbi.nlm.nih.gov/articles/PMC3311716/?ref=thegalacticmind.com): experience, connection to the environment, and the ability to respond can come apart. Dreaming provides a familiar example of experience continuing without ordinary engagement with the surroundings.

A theory connecting wave organization to consciousness must therefore specify what it predicts: successful information integration, reportable perception, wakeful responsiveness, or subjective experience itself. Those targets overlap, but they are not interchangeable.

Even a successful mechanism for binding information would leave the question of why that process has a felt character. It might explain how a system brings color, shape, memory, and action together without yet explaining why seeing red feels like anything. Nothing in the studies described here establishes telepathy, a cosmic consciousness field, or a completed explanation of subjectivity.

## The Reality Signal

Miller’s work exposes the difference between knowing a system’s available connections and understanding its moment-to-moment organization. Both are parts of a physical explanation. A structural map constrains what can happen; a dynamical account explains how activity develops within those constraints.

The enduring significance lies in the attempt to connect those levels through measurable mechanisms. The 2026 review gathers a line of work moving from context-sensitive neurons to bursts, spatial organization, and traveling patterns. Its strongest unresolved distinction is between waves as informative signatures of circuit activity and waves as additional causal participants in a specific computation.

That distinction makes the proposal valuable even before its most ambitious claims are settled. It turns a broad intuition about the brain’s patterns into a demand for experiments that can tell competing explanations apart.

![](https://storage.ghost.io/c/2b/dd/2bddb260-75ab-46da-9a88-bea104d7a531/content/images/2026/10/Miller_SfN_2025.jpg)

Earl K. Miller presents his developing account of brain waves, cognition, and consciousness during a presidential lecture at the Society for Neuroscience meeting on November 15, 2025.

## The Galactic Mind Perspective

Miller deserves attention because his larger proposal grows from concrete questions about how thought is controlled. Remembering two objects in order may seem far removed from the mystery of consciousness, but it exposes a basic requirement of a mind: information must be available in the right relationship, at the right time, for the right purpose.

The greatest weight should go to the experimental findings that connect neural timing and spatial organization to task performance. The analog-computation proposal deserves serious testing because it tries to explain how those observations fit together. Its extension to subjective experience remains the least resolved part of the account.

Our judgment is that this is a productive research direction with a clear burden of proof. Its value will grow if it predicts the consequences of altering a wave’s pattern, rather than simply finding waves whenever cognition occurs. Miller, Brincat, and Roy offer a way to ask that question. The answer will require more than an appealing metaphor.

## Open Thread

If changing the timing and direction of a brain wave changes a thought while the wiring remains intact, what would distinguish a wave carrying the computation from a wave revealing computation performed by the circuit?

### More in Dossier

1. [**Michael Gazzaniga and the Interpreter Within**](https://www.thegalacticmind.com/michael-gazzaniga-and-the-interpreter-within/) — A related investigation of how distributed brain processes contribute to the experience of a coherent self.
2. [**Michael Levin and the Hidden Intelligence of Living Cells**](https://www.thegalacticmind.com/michael-levin-and-the-hidden-intelligence-of-living-cells/) — Extends the question of collective biological organization beyond neurons; the connection is thematic, not a claim that the two research programs establish the same mechanism.
3. [**Bernardo Kastrup and the Consciousness-First Reality**](https://www.thegalacticmind.com/bernardo-kastrup-and-the-consciousness-first-reality/) — Provides a philosophical contrast that helps readers distinguish a proposed neural mechanism from a claim about consciousness’s fundamental place in reality.

## Sources / Receipts

1. **Earl K. Miller, Scott L. Brincat, and Jefferson E. Roy —** [**“Analog Cognition and Consciousness,” *Journal of Neuroscience***](https://www.jneurosci.org/content/46/33/e0711262026?ref=thegalacticmind.com)**, August 19, 2026.** The central review and hypothesis. The [authors’ full journal PDF](https://ekmillerlab.mit.edu/files/2026/08/Analog-Cognition-and-Consciousness-JN-2026.pdf?ref=thegalacticmind.com) was consulted, including the analog-computation examples and consciousness discussion. The [PubMed record](https://pubmed.ncbi.nlm.nih.gov/42618509/?ref=thegalacticmind.com) confirms the date, authorship, and review classification. The proposed computations illustrated in the paper should not be presented as experimental findings.
2. **MIT Picower Institute —** [**“Earl K. Miller”**](https://picower.mit.edu/earl-k-miller?ref=thegalacticmind.com)**, institutional profile, accessed October 4, 2026.** Supports his current position, training, arrival at MIT in 1995, research methods, and focus on goal-directed cognition.
3. **Earl K. Miller and Jonathan D. Cohen —** [**“An Integrative Theory of Prefrontal Cortex Function,” *Annual Review of Neuroscience* 24, 167–202**](https://doi.org/10.1146/annurev.neuro.24.1.167?ref=thegalacticmind.com)**, 2001.** Establishes the earlier framework in which maintained goals bias processing in other pathways. This is a theoretical review, not a demonstration of the later wave account.
4. **Mattia Rigotti and colleagues —** [**“The importance of mixed selectivity in complex cognitive tasks,” *Nature* 497, 585–590**](https://doi.org/10.1038/nature12160?ref=thegalacticmind.com)**, 2013.** Primary recordings and modeling supporting the computational usefulness of mixed selectivity and its relationship to behavioral performance. The [author-hosted paper](https://ekmillerlab.mit.edu/wp-content/uploads/2025/06/Rigotti%5Fet%5Fal%5FNature%5F2013.pdf?ref=thegalacticmind.com) was consulted.
5. **Mikael Lundqvist and colleagues —** [**“Gamma and Beta Bursts Underlie Working Memory,” *Neuron* 90, 152–164**](https://doi.org/10.1016/j.neuron.2016.02.028?ref=thegalacticmind.com)**, online March 17, 2016; issue April 6, 2016.** Primary study supporting burst-based descriptions of working-memory activity. It should not be read as settling all disagreements about persistent firing.
6. **Mikael Lundqvist, Pawel Herman, Melissa R. Warden, Scott L. Brincat, and Earl K. Miller —** [**“Gamma and beta bursts during working memory readout suggest roles in its volitional control,” *Nature Communications* 9, 394**](https://www.nature.com/articles/s41467-017-02791-8?ref=thegalacticmind.com)**, January 26, 2018.** Primary experiment linking beta/gamma dynamics to the use of remembered object information and behavioral errors. Full article consulted.
7. **Mikael Lundqvist and colleagues —** [**“Working memory control dynamics follow principles of spatial computing,” *Nature Communications* 14, 1429**](https://www.nature.com/articles/s41467-023-36555-4?ref=thegalacticmind.com)**, March 14, 2023.** Introduces the spatial-computing framework and tests predictions using neural recordings; distinguishes control-related spatial patterns from detailed item representations.
8. **Zhen Chen, Scott L. Brincat, Mikael Lundqvist, Roman F. Loonis, Melissa R. Warden, and Earl K. Miller —** [**“Oscillatory control of cortical space as a computational dimension,” *Current Biology* 36, 402–414.e5**](https://doi.org/10.1016/j.cub.2025.11.072?ref=thegalacticmind.com)**, online December 23, 2025; issue January 19, 2026.** Tests spatial-computing predictions across several tasks. Full author-hosted journal paper consulted. The findings support predictions about organization but do not selectively manipulate the proposed control mechanism.
9. **Sayak Bhattacharya, Scott L. Brincat, Mikael Lundqvist, and Earl K. Miller —** [**“Traveling waves in the prefrontal cortex during working memory,” *PLOS Computational Biology* 18, e1009827**](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009827&ref=thegalacticmind.com)**, January 28, 2022.** Primary evidence of planar and rotating waves and their task-related changes. Also supplies a potential documentary visual under a Creative Commons Attribution license.
10. **Tamal Batabyal, Scott L. Brincat, and colleagues —** [**“State–Space Trajectories and Traveling Waves Following Distraction,” *Journal of Cognitive Neuroscience* 38, 695–715**](https://doi.org/10.1162/JOCN.a.2410?ref=thegalacticmind.com)**, online November 3, 2025; issue April 2026.** Links recovery-related population trajectories to traveling waves in monkey prefrontal cortex. The [author-hosted paper](https://ekmillerlab.mit.edu/files/2025/10/Tamal-et-al-JOCN-2025.pdf?ref=thegalacticmind.com) identifies Batabyal and Brincat as equal contributors. Correspondence between the patterns does not by itself establish causation.
11. **MIT Picower Institute —** [**“Brain waves’ analog organization of cortex enables cognition and consciousness, MIT professor proposes at SfN”**](https://picower.mit.edu/news/brain-waves-analog-organization-cortex-enables-cognition-and-consciousness-mit-professor?ref=thegalacticmind.com)**, November 15, 2025.** Documents Miller’s presidential lecture and the public development of his argument. An institutional report of his position, rather than independent validation of it.
12. **David Orenstein, MIT News / Picower Institute —** [**“Cognition and consciousness arise from analog computations, says new theory”**](https://news.mit.edu/2026/cognition-consciousness-arise-from-analog-computations-says-new-theory-0901?ref=thegalacticmind.com)**, September 1, 2026.** The supplied starting point; supports Miller’s explicit acknowledgment that direct signatures of analog computation remain to be tested. Its publication date is later than the review’s.
13. **Costas A. Anastassiou, Rodrigo Perin, Henry Markram, and Christof Koch —** [**“Ephaptic coupling of cortical neurons,” *Nature Neuroscience* 14, 217–223**](https://pubmed.ncbi.nlm.nih.gov/21240273/?ref=thegalacticmind.com)**, online January 16, 2011.** Independent primary experiment showing field effects on rat cortical neurons in slices. The verified abstract supports the narrow experimental description used here, not a whole-brain cognition claim.
14. **Dimitris A. Pinotsis and Earl K. Miller —** [**“Ephaptic coupling can explain variability in neural activity,” *Cerebral Cortex* 36, bhag098**](https://pubmed.ncbi.nlm.nih.gov/42411828/?ref=thegalacticmind.com)**, June 2, 2026.** Model-based analysis of field–neural relationships during a memory task. The published abstract and the [authors’ institutional account](https://picower.mit.edu/news/electric-fields-help-guide-neural-activity-even-moment-moment?ref=thegalacticmind.com) were consulted; a selective field-perturbation experiment should not be inferred from them.
15. **Christos Constantinidis and colleagues —** [**“Persistent Spiking Activity Underlies Working Memory,” *Journal of Neuroscience* 38, 7020–7028**](https://pmc.ncbi.nlm.nih.gov/articles/PMC6083457/?ref=thegalacticmind.com)**, August 8, 2018; paired with Mikael Lundqvist, Pawel Herman, and Earl K. Miller —** [**“Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not,” 38, 7013–7019**](https://pmc.ncbi.nlm.nih.gov/articles/PMC6083456/?ref=thegalacticmind.com)**, same date.** The published disagreement over persistent firing, burst dynamics, and the interpretation of trial averages. These perspectives predate and do not directly evaluate the 2026 review.
16. **Alexandra G. Bardon and colleagues —** [**“Convergent effects of different anesthetics on changes in phase alignment of cortical oscillations,” *Cell Reports* 44, 115685**](https://pubmed.ncbi.nlm.nih.gov/40349347/?ref=thegalacticmind.com)**, online May 9, 2025; issue May 27, 2025.** Primary findings on ketamine and dexmedetomidine, including different changes within and between hemispheres. The published abstract and [MIT’s account of the study](https://picower.mit.edu/news/different-anesthetics-same-result-unconsciousness-shifting-brainwave-phase?ref=thegalacticmind.com) support the description here.
17. **Adam J. Eisen and colleagues —** [**“Similar destabilization of neural dynamics under different general anesthetics,” *Cell Reports* 45, 117048**](https://pubmed.ncbi.nlm.nih.gov/41850281/?ref=thegalacticmind.com)**, online March 17, 2026; issue March 24, 2026.** Published study of convergent dynamical effects across three anesthetics. The published summary was consulted for the narrow findings described; this is distinct from the 2025 two-drug phase-alignment study and its preprint.
18. **Robert D. Sanders, Giulio Tononi, Steven Laureys, and Jamie W. Sleigh —** [**“Unresponsiveness ≠ Unconsciousness,” *Anesthesiology* 116, 946–959**](https://pmc.ncbi.nlm.nih.gov/articles/PMC3311716/?ref=thegalacticmind.com)**, April 2012.** Explains why subjective experience, environmental connectedness, and behavioral responsiveness must be distinguished when interpreting anesthesia. Full article consulted.