Earl K. Miller

@earlkmiller.bsky.social

Picower Professor of Neuroscience @ MIT Cognitive neuroscience, executive brain functions, consciousness, and bass guitar. You know, the good stuff. ekmillerlab.mit.edu Co-founder, Neuroblox https://www.neuroblox.ai/

Gamma synchrony communication between the prefrontal cortex and insula. Smells like γ-synchrony: Insula-prefrontal communication depends on γ-synchrony and supports modality-specific changes in behavioral strategies doi.org/10.64898/202... #neuroscience

Smells like γ-synchrony: Insula-prefrontal communication depends on γ-synchrony and supports modality-specific changes in behavioral strategies

The prefrontal cortex is critical for many aspects of flexible behavior, but how it interacts with other brain regions to perform this function remains largely unknown. The insula is bidirectionally coupled with prefrontal cortex and known to be necessary for many aspects of cognition. Here we examined how the medial insular cortex (mIC) and medial prefrontal cortex (mPFC) interact to promote flexible behavior. Disrupting mIC-mPFC connectivity interferes with the ability of mice to learn shifts from texture cue-based behavioral strategies to odor-based ones (but not vice-versa). Using genetically encoded voltage indicators, we find a corresponding increase of in-phase gamma-frequency synchronization between mIC and mPFC parvalbumin-expressing inhibitory neurons during texture-to-odor shifts. Finally, we confirmed that optogenetically perturbing this synchronization disrupts texture-to-odor (but not odor-to-texture) shifts. These results establish a critical role for gamma synchronization in insula-prefrontal communication, and show that this communication plays a sensory modality-specific role in flexible behavior. ### Competing Interest Statement The authors have declared no competing interest. National Institutes of Health, R01NS116594, R01MH121342, R01MH129835

doi.org

Neurons, especially in cortex, rarely show steady-state firing. Instead, they fire in bursts. This bursting may be key to function. Distributed burst firing mediates optimized cortical encoding of natural self-motion doi.org/10.1126/scia... #neurocience

Distributed burst firing mediates optimized cortical encoding of natural self-motion

Burst firing in vestibular cortex enables distributed coding of natural self-motion by optimizing information transmission.

doi.org

It was an honor to write this remembrance of Susumu Tonegawa (1939–2026) -- a scientist whose discoveries transformed biology and whose lab shaped generations of neuroscientists. I hope this piece captures even a small part of his remarkable legacy. www.nature.com/articles/s41...

Susumu Tonegawa (1939–2026) - Nature Neuroscience

On 11 July 2026, neuroscience lost one of its most visionary scientists with the passing of Susumu Tonegawa at the age of 86. Across an extraordinary career spanning more than five decades, Tonegawa p...

nature.com

Astrocytes make up nearly half the cells in the brain. Like neurons, they have electrical properties, but they do not spike. Moreover, the average cortical neuron spends most of its time "silent". Spiking matters, but it is not the whole story. www.thetransmitter.org/memory/are-p... #neuroscience

Are parts of the memory trace found in the ‘astroengram?’

Neurons have long taken top billing in memory, but researchers are making the case for astrocytes.

thetransmitter.org

Out now! Low-frequency modulations bridge the Language and Default Mode networks. Ramping alpha frequency modulation is seen across LN and DMN for sentences greater than wordlists, with ramping connectivity between and within these networks. #NeuroSkyence #iEEG 🧵👇

Low-frequency modulations bridge the Language and Default Mode networks

As you read this sentence, you integrate meanings of individual words into complex, higher-order representations. In addition to the core language net…

sciencedirect.com

Temporary synaptic plasticity holds information in the background, ready for use. If it works well and is simple enough for modern computers, 4 billion years of evolution likely found it first. Working Memory as Programmable Fast Weight Computation doi.org/10.64898/202... #neuroscience

Working Memory as Programmable Fast Weight Computation

Working memory (WM) stores information after sensory input disappears and later retrieves it in a task-relevant format, but the mechanism unifying storage and retrieval remains unclear. Here we combine neural geometry analyses of macaque dorsolateral prefrontal cortex activity during a visuospatial delayed-match-to-sample task with computational modeling to test whether WM can be implemented as recurrent fast-weight computation. We found that the relational geometry of remembered locations was strongly expressed during sample presentation, degraded during the early delay, and reemerged before requirement in a partially distinct mnemonic subspace. A recurrent fast-weight programmer model, which implements a form of dynamic fast-weight memory closely related to linear Transformer computation, reproduced these latent-to-mnemonic dynamics. Direct inspection and perturbation of the model revealed that neural activity writes stimulus information into rapidly modifiable synaptic states, synaptic dynamics organize this latent memory over time, and recurrent readout queries the evolving state to generate task-relevant activity. These findings provide a unified account of WM storage and retrieval and suggest that biological WM and Transformer family architectures share an algorithmic principle of programmable temporary memory. ### Competing Interest Statement The authors have declared no competing interest. National Natural Science Foundation, T2488101

doi.org