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#cerebralcortex — Public Fediverse posts

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  1. Often the subject can sense the exaggerated illumination, but subjects visual cortex can not collect nor utilize the expenditure of heightened lumen output; As a result nearly every required action needing enhanced photonic output to recognize is impossible, further more the distance and or aperture to which any one subject may be translated through, has developed a progressing blur and hazy fuzz, as this is not constant, it is rather frequent, making utilization of the photonic collection units rather useless in nearly every scenario; total visual usage may cease without warning permanently, subjects continued deration appears idiopathic and without resolution;

    You can encourage my continued useless #poetry, creativity and expression of self, #commentary, random thoughts, #philosophy and ideas, and by doing so your helping to feed, house and clothe a #disabled man living in #poverty, $5-10-15 It All Helps, via #cashapp at $woctxphotog or via #paypal at paypal.com/donate?campaign_id=…

    #vision, #ocular, #cerebralcortex, #opticalnerve, #decomposition

  2. @laurentperrinet

    How cool is that. Just got reminded of this paper:

    "Behavioral architecture of the cortical sheet", Douglas and Martin, 2012
    cell.com/current-biology/fullt

    ... proposing two axes across the cerebral cortex, one on time and one on space: a "Functional organisation of cortical sheet", as Figure 3 summarizes.

    #neuroscience #CerebralCortex

  3. "Short-term memory errors are strongly associated with a drift in neural activity in the posterior parietal cortex", Joon Ho Choi et al. 2025 (Jong-Cheol Rah's lab).

    "Using 2-photon calcium imaging in the posterior parietal cortex (PPC) of mice performing a delayed match-to-sample task, we identified a subset of PPC neurons exhibiting both directional and temporal selectivity. Contrary to the hypothesis that STM errors primarily stem from mis-encoding during the sample phase, our findings reveal that these errors are more strongly associated with a drift in neural activity during the delay period. This drift leads to a gradual divergence away from the correct representation, ultimately leading to incorrect behavioral responses."

    #neuroscience #LearningAndMemory #CerebralCortex #STM

  4. "The synaptic architecture of layer 5 thick tufted excitatory neurons in mouse visual cortex", Bodor et al. 2025 (Nuno da Costa's lab)
    nature.com/articles/s41593-025

    #neuroscience #MICrONs #connectomics #CerebralCortex

  5. Conflicting results have been obtained re changes in synaptic strength in the #CerebralCortex during the #Sleep-WakeCycle. This computational study provides a comprehensive understanding & unified framework about #synaptic dynamics during #sleep & wake states @PLOSBiology plos.io/4kHeNwM

  6. @lzg my grandma suffered several strokes.
    We took care of her, she lost the ability to speak for 3 or 4 months.
    After a great therapist helped her, she regained speech via repeating ONE WORD that we understood thanks to tone and frequency variations.

    #CerebralCortex #FrontLobe #Speech #Therapy #Neurons #BrainRecovery

  7. “Cortical circuitry mediating inter-areal touch signal amplification” by Ryan et al. 2023 (Simon Peron lab). biorxiv.org/content/10.1101/20

    “we ask how topographically matched subregions of primary and secondary vibrissal somatosensory cortices (vS1 and vS2) interact during whisker touch.”

    And found cortical layer 2 neurons responsible for interarea synchrony.

    #neuroscience #mouse #CerebralCortex

  8. “we identified a sparse subset of neurons in the primary visual cortex (V1) and higher visual areas that respond emergently to ICs [illusory contours]. We found that these highly selective "IC-encoders" mediate the neural representation of IC inference. Strikingly, selective activation of these neurons using two-photon holographic optogenetics was sufficient to recreate IC representation in the rest of the V1 network, in the absence of any visual stimulus.”

    From: “Recurrent pattern completion drives the neocortical representation of sensory inference” by Shin et al. 2023 biorxiv.org/content/10.1101/20

    #neuroscience #NeuroPixels #mouse #CerebralCortex

  9. @J_Exp_Biol

    Switchable neural components in turtles. Perhaps not surprising but certainly extraordinary! The source paper:

    "Responses of the in vitro turtle brain to visual and auditory stimuli during severe hypoxia", Ariel et al. 2023 doi.org/10.1242/jeb.244687

    "North American pond turtles (Emydidae) are renowned for their ability to survive extreme hypoxia and anoxia, which enables several species to overwinter in ice-locked, anoxic freshwater ponds and bogs for months."

    These qualities make turtles fantastic laboratory animals for neuroscience research:

    "Large-scale mapping of cortical synaptic projections with extracellular electrode arrays", Shein-Idelson et al. 2017 nature.com/articles/nmeth.4393

    #neuroscience #reptiles #Testudines #turtles #vision #CerebralCortex #hibernation

  10. CW: Cortical area instability–experiments in monkeys

    On the instability (plasticity?) of cortical areas, just got reminded of this classic work:

    "Somatosensory cortical map changes following digit amputation in adult monkeys", Merzenich et al. 1984 onlinelibrary.wiley.com/doi/ab

    #fMRI #neuroscience #cerebralcortex

  11. @Javierzsm A great reminder that the activity of a neuron matters in a different way to each target neuron type because the postsynaptic site is cell-type specific. Thanks for your work!

    jneurosci.org/content/early/20

    #neuroscience #GABA #MartinottiCells #cerebralcortex