CTXC mining is currently estimated at:
At current prices, Cortex is earning more than many smaller mineable coins.
Would you mine CTXC at these earnings, or choose a different coin?
Track live crypto profitability: www.asicprofit.com
#AsicProfit #CTXC #Cortex #CryptoMining
The latest update for #Cortex includes "The leadership transitions nobody warns you about" and "Every engineering org is taking an #AI readiness test right now".
#microservices #SRE #devops https://opsmtrs.com/3U19Lxq
Excited to share that our latest manuscript is out today on bioRxiv:
"Integrated transcriptomics and proteomics define the TRP channel hierarchy in mouse cortex"
biorxiv.org/content/10.6...
@ouranu
#TRP #TRPA1 #TRPV1 #Epilepsy #Mouse #Brain #Cortex #Calcium #JCSMR #ANU
#Cortex #TroupeauBleu #vinyl #records #vinylcollector #recordcollector #vinylcollection #recordcollection #vinylcommunity #vinyloftheday #musicsky #vinylsky #jazzsky
The latest update for #Cortex includes "Every engineering org is taking an #AI readiness test right now" and "Software development standards and best practices".
#microservices #SRE #devops https://opsmtrs.com/3U19Lxq
The latest update for #Cortex includes "#Softwaredevelopment standards and best practices" and "What is an EngOps platform? Key Features, Benefits, and Use Cases".
#microservices #SRE #devops https://opsmtrs.com/3U19Lxq
"Crash, Crash, Crash, why must you always muck in my mud?"
#digitalart #fanart #crashbandicoot #neocortex #villainfanart #villain #yellow #madscientist #cortex #crashfanart #playstation #nostalgia #ilikethisguy
The latest update for #Cortex includes "What is an EngOps platform? Key Features, Benefits, and Use Cases" and "KubeCon Europe 2026: AI Is Shipping Code Faster Than Orgs Can Govern It".
#microservices #SRE #devops https://opsmtrs.com/3U19Lxq
The latest update for #Cortex includes "KubeCon Europe 2026: #AI Is Shipping Code Faster Than Orgs Can Govern It" and "QA, AI, and the return of the adversarial mindset".
#microservices #SRE #devops https://opsmtrs.com/3U19Lxq
#Thalamic activation of the #visual #cortex at the single- #synapse level | Science www.science.org/doi/10.1126/...
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
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
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
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
RIP one of our favorite techniques to bypass #PaloAlto #Cortex #XDR 🤷
labs.infoguard.ch/posts/decrypting-and-abu...
Moral Injury #nouscomplex #islam #science #reflection #wish #guilt #cortex #discomft #shorts #reels #stories #foryou #fy
Moral Injury #nouscomplex #islam #science #reflection #wish #guilt #cortex #discomft #shorts #reels #stories #foryou #fy
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
Cortex is trying to steal Brio's niece from him he wants to do science stuff with her LOL 😆
#Cortex #CrashBandicoot #OC #originalcharacter #fanart
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
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
Regional specialization in #prefrontal #cortex manifests in the reliability of task progression #codes: Neuron www.cell.com/neuron/fullt...
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
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
I drew my own renders for these two mad geniuses.
#disney #deathbattle #deathbattlematchup #matchup #vs #jumba #cortex #neocortex #render #crashbandicoot #jumbajookiba #cortex #liloandstitch
I am so happy people recognized what character from what movie it is. 😌 #CrashBandicoot #Crash #Cortex #DrNeoCortex #TheMask1994
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
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
`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 […]
