Earl K. Miller
@MillerLabMIT
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Picower Professor of Neuroscience at MIT https://t.co/UoEeD2FzEY https://t.co/GJDAccXAW8 https://t.co/my1do6xTn1
Cambridge, MA
Joined May 2011
RT @BastosLabNeuro: New paper from the Bastos Lab, led by @EliSennesh! We find ubiquitous predictive processing in the spectral domain (but….
biorxiv.org
The appearance at the anatomical level of a canonical laminar microcircuit suggests that each six-layer column of granular cortex may mediate a canonical computation. Hypotheses for such computations...
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Spectral decomposition of local field potentials uncovers frequency-tuned gain modulation of working memory in primate visual system.#neuroscience.
biorxiv.org
Working memory has been shown to modulate visual processing in a variety of ways, including changes in visual response gain, oscillatory power, spike timing, and phase coding of information[1][1]–[...
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Nice review of predictive coding models.Predictive coding: a more cognitive process than we thought?.#neuroscience.
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Talk of panpsychism misses the point. If everything is conscious, the term loses meaning. A pragmatic approach: An operational definition of "human-like consciousness". AI or an octopus may be conscious, but not in a form we would recognize. .#neuroscience.
bigthink.com
Welcome to The Nightcrawler — a weekly newsletter from Eric Markowitz covering tech, innovation, and long-term thinking.
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Cell types implement multiple coding schemes in distinct prefrontal cortex areas during goal-directed behavior.#neuroscience.
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Embracing Diversity: Sedative effects vary across drug chemistry and frequency domains.#neuroscience.
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Nice review, but why "controversies"? Evidence isn’t controversial. Like "epiphenomenon," it often just means, "doesn’t fit my hypothesis." That’s ad hominem science. Brain rhythms in cognition -- controversies and future directions.#neuroscience.
arxiv.org
Brain rhythms seem central to understanding the neurophysiological basis of human cognition. Yet, despite significant advances, key questions remain unresolved. In this comprehensive position...
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A psychedelic drug disorganizes cortical traveling waves. Groovy work. Complex slow waves in the human brain under 5-MeO-DMT.#neuroscience.
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RT @MIT_Picower: A new study by @SurLabMIT shows benefits, but also limits, of environmental enrichment for Rett syndrome mice: https://t.c….
onlinelibrary.wiley.com
This study reveals that the loss of MeCP2 in Rett syndrome model mice disrupts prefrontal connectivity. Although early environmental enrichment helps mitigate behavioral deficits and restores...
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AI is "hallucinating" science, in this case, drug studies. What could possibly go wrong?.
cnn.com
Insiders tell CNN the FDA’s AI is “hallucinating” studies and can’t access key documents. Agency leaders insist the AI is getting better, and use is not mandatory.
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RT @MIT_Picower: 🧠 New research finding: Astrocytes ensure neural information processing by maintaining ambient levels of the neurotransmit….
picower.mit.edu
MIT researchers employed a novel application of tools and analysis to show that astrocytes ensure neural information processing by maintaining ambient levels of the neurotransmitter chemical GABA.
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Endogenous and exogenous attentional interplay through mixed prefrontal cortex resources.#neuroscience.
cell.com
Di Bello et al. reveal that some neural resources in lateral PFC are shared between motor and attentional systems, enabling focus to flexibly shift in response to internal goals or external demands.
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Astrocytes are 20-40% of brain cells. They spread electrical influences but don't spike. Targeted Neuronal Stimulation Modulates Working Memory via Astrocytic Interactions: Insights from a Spiking Neuron-Astrocyte Model.#neuroscience.
researchsquare.com
Brain stimulation is a promising approach to cognitive enhancement, particularly for improving working memory (WM) function. However, conventional stimulation paradigms often overlook the active...
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Spatial computing enables flexible cognitive control in neural networks.#neuroscience.
researchsquare.com
Flexible and generalizable control over sensory representations is needed to achieve human-level cognition. Here we implement a novel principle, Spatial computing, in a cortical neural network model....
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Neural models for detection and classification of brain states and transitions.#neuroscience.
nature.com
Communications Biology - A deep learning self-supervised hybrid CNN-autoencoder model is used to detect brain states and transitions, like wakefulness, slow oscillations and microarousals, during...
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How the brain shifts between external and internal attention.#neuroscience.
cell.com
Nobre and Gresch call for an upgrade of attention research by considering how the brain shifts its focus between contents in the external sensory stream and internal memory representations. They...
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Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling.#neuroscience.
elifesciences.org
Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.
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Single neurons are dynamic and flexible. They contribute to, but are not, the function units of the brain. Out of the single-neuron straitjacket: Neurons within assemblies change selectivity and their reconfiguration underlies dynamic coding.#neuroscience.
physoc.onlinelibrary.wiley.com
Graphical abstract legend Traditionally, single neurons coding activity has been evaluated using all the spikes recorded. We have shown that even neurons not encoding any task variable when conside...
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Part of a wicked cool project to realistically model brain systems:.Scientific Machine Learning of Chaotic Systems Discovers Governing Equations for Neural Populations.#neuroscience #neuroblox @neuroblox.
arxiv.org
Discovering governing equations that describe complex chaotic systems remains a fundamental challenge in physics and neuroscience. Here, we introduce the PEM-UDE method, which combines the...
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