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pinotsislab

@dimitrispp

Computational Neuroscience, Psychiatry & Neuromarketing @pinotsislab.bsky.social

London, England Katılım Mayıs 2010
762 Takip Edilen840 Takipçiler
Stuart Hameroff
Stuart Hameroff@StuartHameroff·
I disagree that action potentials are the fundamental mode in consciousness. They may just report conscious results from end-integration/orchestration, e.g. Orch OR among layer 5 pyramidal neuron soma with their huge arrays of mixed polarity microtubules. As the articles show, the brain uses photons and electromagnetic oscillations at multiple frequencies. How does the brain, and life in general transcend and integrate over spatiotemporal scale??? Microtubule time crystals engage in terahertz, gigahertz, megahertz, kilohertz and hertz (EEG). ingentaconnect.com/content/imp/jc… These oscillations can be entangled and coherent across brain regions and support consciousness in the Orch OR theory. Terahertz: photons in EEG (Murugan) and microtubules (Craddock, Tuszynski) Gigahertz and megahertz inter neuronal signaling journals.physiology.org/doi/full/10.11… Kilohertz (Neuralink) Hertz Isolated microtubules oscillate at 39 hertz pmc.ncbi.nlm.nih.gov/articles/PMC10…
Earl K. Miller@MillerLabMIT

Action potentials are fundamental but there is more going on in brain function. doi.org/10.3389/fnsys.… #neuroscience

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pinotsislab
pinotsislab@dimitrispp·
In #depression, electric fields diverging from the activity of neurons that generate them may signal a loss of coordinated control—much like an orchestra in which musicians gradually drift out of alignment with the conductor academic.oup.com/cercor/article…
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Ryota Kanai
Ryota Kanai@kanair·
@dimitrispp This might work as a method to identify an NTIC core in the brain.
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Ryota Kanai
Ryota Kanai@kanair·
Thinking about defining Koopman NTIC.
Ryota Kanai tweet media
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Ryota Kanai
Ryota Kanai@kanair·
I still love studying consciousness, but I'm now more interested in abstract and mathematical ideas. It may be becoming a bit different from most research, and not many people like it. But sometimes I meet someone thinking similar things, and that makes me happy.
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André M. Bastos
André M. Bastos@BastosLabNeuro·
Phds&postdocs: join us for a summer school June 1-3 at Vanderbilt Univ. on Multi-Area, high-Density, Laminar Neurophysiology (MaDeLaNe). Get hands-on training from experts on advanced methods for analyzing neural data! No registration cost! Apply here: madelane.bastoslabvu.com
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Earl K. Miller
Earl K. Miller@MillerLabMIT·
They also act at the molecular level to tune the brain. Work by @dimitrispp Pinotsis, D.A., Fridman, G., and Miller, E.K. (2023) Cytoelectric Coupling: Electric fields sculpt neural activity and “tune” the brain’s infrastructure. Progress in Neurobiology, doi.org/10.1016/j.pneu…
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Earl K. Miller
Earl K. Miller@MillerLabMIT·
Here's a metaphor. Cognition is sand on a vibrating speaker. The sound waves of musical notes create patterns in the sand. In the cortex, brain waves are the vibrations, neurons are the sand, and your conscious thoughts are the patterns that emerge. #neuroscience
GIF
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Earl K. Miller
Earl K. Miller@MillerLabMIT·
@SebastianSeung Consider this: Cortical neurons spike only intermittently. Around 15–20 Hz in short bursts. And astrocytes are roughly 30% of cells. They don’t spike, but they still propagate electrical influences. By contrast, electrical influences are present in every cell, all the time.
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Lee Smart
Lee Smart@VFD_org·
This result quietly shifts how we should think about neural variability. If ephaptic coupling matters, then variability isn’t just noise, it’s a signature of a shared extracellular field participating in computation. Small geometric differences (spacing, alignment, conductivity) can produce large functional effects via phase coupling. In that sense, “noise” may be the shadow of missing geometric degrees of freedom.
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Earl K. Miller@MillerLabMIT

New results! Ephaptic coupling can explain variability in neural activity doi.org/10.64898/2025.… Work led by @dimitrispp #neuroscience

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Lee Smart
Lee Smart@VFD_org·
Really elegant work. What strikes me is that once ephaptic coupling matters, the extracellular space effectively becomes part of the system’s state. From that view, trial-to-trial variability looks less like noise and more like sensitivity to unmodeled field geometry (spacing, curvature, anisotropy). Do you see this implying that neural computation is underdetermined unless those geometric field constraints are made explicit?
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