Miller et al. suggest that brain synapses store representations while large-scale rhythmic electric fields dynamically select, route and combine them. Traveling alpha and beta waves could act as movable “stencils” controlling faster gamma activity, permitting parallel analog computation; unified consciousness would arise when such wave organization becomes sufficiently cortex-wide and integrated. They propose an "analog" computational layer on top of digital-style spikes. Waves would be organizing top-down control, flexibly route signals between neural populations, and let individual neurons take on different functional roles depending on context — the coordination problem that discrete spiking alone struggles to explain. I pass on their abstract and concluding comments (motivated readers can obtain a PDF of the article from me.)
Abstract:
Cognition and consciousness may arise from bidirectional interactions
between neuronal spiking and rhythmic electric field activity (brain
waves). Goal-directed behavior relies on top-down control to coordinate
large neural populations into low-dimensional, task-oriented dynamics.
Brain waves are well suited for this role, exerting mesoscale influence
over neural excitability. They can also support analog computation,
shaping activity patterns according to underlying computational
principles. Brain waves can flexibly route and organize neural signals,
enabling multifunctional neurons to assume context-dependent roles, a
hallmark of cognition. In this view, goal-directed thought, action, and
unified consciousness emerge from cortex-wide wave dynamics that both
reflect and transform spiking into coherent brain states.
Concluding comments:
Our theory shares with others the general idea that
cognition and consciousness involve mesoscale coordination and thus
top-down control across the brain. But instead of describing function
mainly in terms of information exchange between discrete neurons,
circuits, and regions, we emphasize brain-wide wave dynamics as an
organizing principle.
In this view, rhythmic electric
fields help unify and structure cortical activity, allowing analog
computation to take place across space and time. These wave interactions
not only bind distributed neural populations into coherent states but
also carry out computations that support flexible thought and control.
Consciousness, then, emerges when these dynamic wave patterns bring the
cortex into an organized, globally integrated state, one that naturally
links and influences widespread activity.
This theory is
not only conceptually plausible but biologically feasible. Cortical
circuits naturally generate oscillatory dynamics and propagate waves
through recurrent connectivity and horizontal cortical connections
across multiple scales. The dynamics we emphasize thus require no
special machinery. These waves are energetically efficient, leveraging
continuous field interactions rather than metabolically costly,
all-or-none spiking at every step. In this sense, the brain exploits its
own physics: Electric field dynamics offer a low-overhead substrate for
organizing and coordinating information across cortical networks. Given
strong evolutionary pressure to maximize computation per unit energy,
it would be surprising if evolution did not exploit such a built-in
analog computing substrate.
