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Left: Intracortical intensity profiles were extracted at each vertex of infant structural MRI scans. Intensities were sampled at 12 equivolumetric intracortical surfaces, spanning from the pial boundary (blue) to the white matter boundary (yellow), capturing signal variations across cortical depths, defined as microstructure profiles. Top right: Systematic changes in profile shape with respect to (i) center of gravity and (ii) variance. To illustrate this relationship, all profiles (across participants and regions) were sorted according to the respective moment, then averaged within 100 bins. Bottom right: Parcel-wise central moment distributions mapped on the dHCP 40-week surface template (see S1 Data). Excluded regions (i.e., von Economo areas LA1, LA2, LC1, LC2, LC3, LD, and LE and the cortical wall) are shown in gray.

Left: Intracortical intensity profiles were extracted at each vertex of infant structural MRI scans. Intensities were sampled at 12 equivolumetric intracortical surfaces, spanning from the pial boundary (blue) to the white matter boundary (yellow), capturing signal variations across cortical depths, defined as microstructure profiles. Top right: Systematic changes in profile shape with respect to (i) center of gravity and (ii) variance. To illustrate this relationship, all profiles (across participants and regions) were sorted according to the respective moment, then averaged within 100 bins. Bottom right: Parcel-wise central moment distributions mapped on the dHCP 40-week surface template (see S1 Data). Excluded regions (i.e., von Economo areas LA1, LA2, LC1, LC2, LC3, LD, and LE and the cortical wall) are shown in gray.

How do #prenatal & #postnatal periods shape the developing human #cortex? This study uses #neonatal MRI to show that time in the womb drives widespread, uniform maturation, whereas time after birth produces more region- & depth-specific changes across the cortex @plosbiology.org 🧪 plos.io/47o6rpk

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "QA, #AI, and the return of the adversarial mindset" and "What is operational excellence?".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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Decrypting and Abusing Predefined BIOCs in Palo Alto Cortex XDR - InfoGuard Labs The Behavioral Indicators of Compromise (BIOCs) of Cortex XDR contain numerous exceptions, including global whitelists that can be abused to evade detection even when using simple and well-known TTPs.

RIP one of our favorite techniques to bypass #PaloAlto #Cortex #XDR 🤷

labs.infoguard.ch/posts/decrypting-and-abu...

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Moral Injury #nouscomplex #islam #science #reflection #wish #guilt #cortex #discomft #shorts #reels #stories #foryou #fy

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Moral Injury #nouscomplex #islam #science #reflection #wish #guilt #cortex #discomft #shorts #reels #stories #foryou #fy

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "What is operational excellence?" and "Cortex and Syntasso join forces to bridge the gap between #automation and visibility".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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Cortex is trying to steal Brio's niece from him he wants to do science stuff with her LOL 😆

#Cortex #CrashBandicoot #OC #originalcharacter #fanart

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Cortisol treatment impairs path integration and alters grid-like representations in the male human entorhinal cortex Stress impacts navigational performance and involves cortisol release, but how cortisol impacts brain functions supporting navigation remains unclear. This study in men shows that cortisol administrat...

New study from the Institute of Cognitive Neuroscience @ruhr-uni-bochum.de in @plosbiology.org shows that #cortisol administration impairs path integration, a specific navigational process, and reduces grid-like brain activity patterns in the #entorhinal #cortex of the brain 🧠
plos.io/3NmX3eG

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Arcade night: Amsterdam · Luma 🎮 Insert coin: Arcade night! Join incident.io, Aikido, Picnic, and Cortex for a retro-inspired happy hour in Amsterdam. Whether you’re in town for KubeCon or…

Need a 1-UP after a full day of conference talks? 🕹️ 😉

We've got you. Arcade Night is our retro-inspired happy hour at KubeCon, hosted with #AikidoSecurity, #picnic, and #cortex.

Join us on March 25 at Picnic HQ. 🔥

RSVP here: luma.com/arcadenight

#KubeCon2026

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Regional specialization in prefrontal cortex manifests in the reliability of task progression codes Guidera et al. found that single units in rat dmPFC and OFC code reliably for progression through a spatial alternation task at action- (dmPFC) or outcome- (OFC) related task phases, consistent with t...

Regional specialization in #prefrontal #cortex manifests in the reliability of task progression #codes: Neuron www.cell.com/neuron/fullt...

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Experimental path integration task. Top: While the Pure PI subtask consisted only of a grassy plain, the Landmark PI subtask additionally contained a central lighthouse serving as spatial cue. Middle: Each trial began with the “start phase”, where participants navigated to a basket (goal location), the location of which they should encode. In the following “outgoing phase,” they navigated to a variable number of trees (1–5) until reaching a tree containing an apple (retrieval location). Then, during the “incoming phase,” participants had to find the way back to the goal location before receiving feedback via zero to three stars according to performance based on the drop error. Basket and trees disappeared as soon as they were reached.  Bottom left: Outgoing phase (dashed black line) and incoming phase (dotted black line) were quantified according to their spatial distances: outgoing distance corresponded to the cumulated distance from goal to retrieval location (dashed red line), and incoming distance to the Euclidean distance between retrieval and goal location (dotted red line). Bottom right: General PI performance was assessed via the drop error, which corresponded to the distance between response location (marked with an X) and goal location (solid red line). The drop error can further be differentiated into distance error, referring to the difference between retrieval-to-goal distance and retrieval-to-response distance (blue line), and rotation error, depicting the angle between the retrieval-to-goal path and the retrieval-to-response path (purple arc).

Experimental path integration task. Top: While the Pure PI subtask consisted only of a grassy plain, the Landmark PI subtask additionally contained a central lighthouse serving as spatial cue. Middle: Each trial began with the “start phase”, where participants navigated to a basket (goal location), the location of which they should encode. In the following “outgoing phase,” they navigated to a variable number of trees (1–5) until reaching a tree containing an apple (retrieval location). Then, during the “incoming phase,” participants had to find the way back to the goal location before receiving feedback via zero to three stars according to performance based on the drop error. Basket and trees disappeared as soon as they were reached. Bottom left: Outgoing phase (dashed black line) and incoming phase (dotted black line) were quantified according to their spatial distances: outgoing distance corresponded to the cumulated distance from goal to retrieval location (dashed red line), and incoming distance to the Euclidean distance between retrieval and goal location (dotted red line). Bottom right: General PI performance was assessed via the drop error, which corresponded to the distance between response location (marked with an X) and goal location (solid red line). The drop error can further be differentiated into distance error, referring to the difference between retrieval-to-goal distance and retrieval-to-response distance (blue line), and rotation error, depicting the angle between the retrieval-to-goal path and the retrieval-to-response path (purple arc).

How does stress impact #navigational performance? This study shows that #cortisol administration impairs path integration, a specific navigational process, and reduces grid-like brain activity patterns in the #entorhinal #cortex @plosbiology.org 🧪 plos.io/3NmX3eG

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Experimental path integration task. Top: While the Pure PI subtask consisted only of a grassy plain, the Landmark PI subtask additionally contained a central lighthouse serving as spatial cue. Middle: Each trial began with the “start phase”, where participants navigated to a basket (goal location), the location of which they should encode. In the following “outgoing phase,” they navigated to a variable number of trees (1–5) until reaching a tree containing an apple (retrieval location). Then, during the “incoming phase,” participants had to find the way back to the goal location before receiving feedback via zero to three stars according to performance based on the drop error. Basket and trees disappeared as soon as they were reached.  Bottom left: Outgoing phase (dashed black line) and incoming phase (dotted black line) were quantified according to their spatial distances: outgoing distance corresponded to the cumulated distance from goal to retrieval location (dashed red line), and incoming distance to the Euclidean distance between retrieval and goal location (dotted red line). Bottom right: General PI performance was assessed via the drop error, which corresponded to the distance between response location (marked with an X) and goal location (solid red line). The drop error can further be differentiated into distance error, referring to the difference between retrieval-to-goal distance and retrieval-to-response distance (blue line), and rotation error, depicting the angle between the retrieval-to-goal path and the retrieval-to-response path (purple arc).

Experimental path integration task. Top: While the Pure PI subtask consisted only of a grassy plain, the Landmark PI subtask additionally contained a central lighthouse serving as spatial cue. Middle: Each trial began with the “start phase”, where participants navigated to a basket (goal location), the location of which they should encode. In the following “outgoing phase,” they navigated to a variable number of trees (1–5) until reaching a tree containing an apple (retrieval location). Then, during the “incoming phase,” participants had to find the way back to the goal location before receiving feedback via zero to three stars according to performance based on the drop error. Basket and trees disappeared as soon as they were reached. Bottom left: Outgoing phase (dashed black line) and incoming phase (dotted black line) were quantified according to their spatial distances: outgoing distance corresponded to the cumulated distance from goal to retrieval location (dashed red line), and incoming distance to the Euclidean distance between retrieval and goal location (dotted red line). Bottom right: General PI performance was assessed via the drop error, which corresponded to the distance between response location (marked with an X) and goal location (solid red line). The drop error can further be differentiated into distance error, referring to the difference between retrieval-to-goal distance and retrieval-to-response distance (blue line), and rotation error, depicting the angle between the retrieval-to-goal path and the retrieval-to-response path (purple arc).

How does stress impact #navigational performance? This study shows that #cortisol administration impairs path integration, a specific navigational process, and reduces grid-like brain activity patterns in the #entorhinal #cortex @plosbiology.org 🧪 plos.io/3NmX3eG

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I drew my own renders for these two mad geniuses.

#disney #deathbattle #deathbattlematchup #matchup #vs #jumba #cortex #neocortex #render #crashbandicoot #jumbajookiba #cortex #liloandstitch

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I am so happy people recognized what character from what movie it is. 😌 #CrashBandicoot #Crash #Cortex #DrNeoCortex #TheMask1994

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Experimental path integration task. Top: While the Pure PI subtask consisted only of a grassy plain, the Landmark PI subtask additionally contained a central lighthouse serving as spatial cue. Middle: Each trial began with the “start phase”, where participants navigated to a basket (goal location), the location of which they should encode. In the following “outgoing phase,” they navigated to a variable number of trees (1–5) until reaching a tree containing an apple (retrieval location). Then, during the “incoming phase,” participants had to find the way back to the goal location before receiving feedback via zero to three stars according to performance based on the drop error. Basket and trees disappeared as soon as they were reached.  Bottom left: Outgoing phase (dashed black line) and incoming phase (dotted black line) were quantified according to their spatial distances: outgoing distance corresponded to the cumulated distance from goal to retrieval location (dashed red line), and incoming distance to the Euclidean distance between retrieval and goal location (dotted red line). Bottom right: General PI performance was assessed via the drop error, which corresponded to the distance between response location (marked with an X) and goal location (solid red line). The drop error can further be differentiated into distance error, referring to the difference between retrieval-to-goal distance and retrieval-to-response distance (blue line), and rotation error, depicting the angle between the retrieval-to-goal path and the retrieval-to-response path (purple arc).

Experimental path integration task. Top: While the Pure PI subtask consisted only of a grassy plain, the Landmark PI subtask additionally contained a central lighthouse serving as spatial cue. Middle: Each trial began with the “start phase”, where participants navigated to a basket (goal location), the location of which they should encode. In the following “outgoing phase,” they navigated to a variable number of trees (1–5) until reaching a tree containing an apple (retrieval location). Then, during the “incoming phase,” participants had to find the way back to the goal location before receiving feedback via zero to three stars according to performance based on the drop error. Basket and trees disappeared as soon as they were reached. Bottom left: Outgoing phase (dashed black line) and incoming phase (dotted black line) were quantified according to their spatial distances: outgoing distance corresponded to the cumulated distance from goal to retrieval location (dashed red line), and incoming distance to the Euclidean distance between retrieval and goal location (dotted red line). Bottom right: General PI performance was assessed via the drop error, which corresponded to the distance between response location (marked with an X) and goal location (solid red line). The drop error can further be differentiated into distance error, referring to the difference between retrieval-to-goal distance and retrieval-to-response distance (blue line), and rotation error, depicting the angle between the retrieval-to-goal path and the retrieval-to-response path (purple arc).

How does stress impact #navigational performance? This study shows that #cortisol administration impairs path integration, a specific navigational process, and reduces grid-like brain activity patterns in the #entorhinal #cortex @plosbiology.org 🧪 plos.io/3NmX3eG

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "Cortex and Syntasso join forces to bridge the gap between #automation and visibility" and "How to stop guessing where developer friction lives".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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Original post on mastodon.social

`Here we leverage the inception loop paradigm, iterating between large-scale recordings, predictive models and in silico experiments with in vivo verification, to characterize neuronal invariances in mouse primary visual cortex (V1)... revealed a new bipartite invariance: one subfield encodes a […]

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "How to stop guessing where developer friction lives" and "What is engineering operations? A guide to the discipline transforming software teams".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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cob (@cobrate@mastodon.social) #acouphenes = sifflement/bourdonnement/grésillement/bruits fantômes h24 ou ponctuellement, à cause de trop de destruction de cellules ciliées de la cochlée dans l'oreille -> le #silence n’existe plus. -> concernent environ 14 % de la population mondiale, dont > 2 % de formes sévères -> > 90 causes. #solutions : le neurofeedback -> agir directement sur l’activité du #cerveau pour les réduire. Suite : #son #economie #politique #otologie #audiologie #otoneurologie

Suite https://mastodon.social/@cobrate/116206271911991378

-> enjeux : oreillettes, casques, enceintes sonores.

#sante

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Quad Cortex mini amp modeler: All the power, half the size A warehouse of guitar gear in the palm of your hand. At this January's massive NAMM music tech show in Los Angeles, six products won &...

#Reviews #amp #modeling #machine #learning #Neural #DSP #Quad #Cortex #mini

Origin | Interest | Match

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "What is engineering operations? A guide to the discipline transforming software teams" and "Introducing Cortex as the Engineering Operations Platform".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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🧪 Three brain profiles behind one ADHD label

Researchers have discovered no fewer than three different brain profiles within ADHD. Each profile is linked to different symptoms and brain circuits. Th(...)

whyrwe.com/@26/0304-1250

#brain #adhd #children #scans #cortex #whyrwe #factuallyfun #science

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "Introducing Cortex as the Engineering Operations Platform" and "Why measuring things openly is the first step toward a stronger engineering culture".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "Why measuring things openly is the first step toward a stronger engineering culture" and "Why business context is the missing link in engineering performance".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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Compact deep neural network models of the visual cortex - Nature Parsimonious deep neural network models can be used for prediction of visual neuron responses.

"We first built a highly predictive DNN model of neural responses... We then compressed this large, black-box DNN model... to identify compact models with 5,000 times fewer parameters yet comparable accuracy."😮

Compact deep #neuralnetwork models of the visual #cortex
doi.org/10.1038/s415...

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Orbitofrontal cortex drives predictive filtering of sensory responses - Nature Neuroscience Top-down projections from the orbitofrontal cortex carry predictive signals that grow with sound experience and suppress the auditory cortex via inhibitory circuits, revealing a predictive mechanism f...

#Orbitofrontal #cortex drives #predictive filtering of #sensory responses

Interesting work, but I didn't know SST interneurons have presynaptic terminals onto VIP interneurons.

doi.org/10.1038/s415...

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Cortex Cortex makes it easy for engineering organizations to gain visibility into their services and deliver high quality software.

The latest update for #Cortex includes "Why business context is the missing link in engineering performance" and "Breaking up with backstage: Why 'free' #opensource isn't always free".

#microservices #SRE #devops https://opsmtrs.com/3U19Lxq

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Huit octobre 1971
Huit octobre 1971 YouTube video by Cortex - Topic

#HuitOctobre1971 by #Cortex is an awesome song, sampled in MF Doom's One Beer of all things and what I imagine Arnold from "Hey Arnold" would have listened to if that show had money for music rights. The ending changes pace and really ties the whole thing together.
#RGMM #CancelSpotify #Musicsky

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#quotes #books #booksky #excerpts #citations #determined #sapolsky #freewill #behavior #brain #neurobiology #psychology #testosterone #pfc #cortex #empathy #emotion #judgment

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Australian researchers develop the world’s first bionic eye to restore vision | Digital Watch Observatory After nearly a decade of research and successful animal studies, human clinical trials are set to begin in Melbourne, aiming to revolutionise blindness treatment.

The world's first Bionic Eye to restore vision in the blind [via Monash U] 🧪🥼🤖👁️🧠📶

"the system bypasses damaged optic nerves, directly sending visual signals to the brain’s vision centre"

dig.watch/updates/aust...

#Gennaris #Bionic #Vision #visual #cortex #interface #wireless #brain #implants

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