#Trading with Stochastics

[signode-blog]

Mastering Trading with the Stochastic Indicator: A Comprehensive Guide

Introduction Stochastic In the realm of financial markets, successful trading requires a deep understanding of various technical indicators. Among these tools, the Stochastic Oscillator stands out as a powerful tool for identifying potential trend reversals and overbought or oversold conditions in the market. In this comprehensive guide, we will delve into the intricacies of the Stochastics…

[allaboutforexworld]

Momentum Trading: Forex Trading Strategy Explained

Momentum trading is a strategy that seeks to capitalize on the continuance of existing trends in the market. By focusing on the strength of price movements, traders can make informed decisions and optimize their profits. What is Momentum Trading? Momentum trading involves buying and selling currency pairs based on recent price trends. The core idea is that strong movements in the market tend to…

[stockmarketdailyupdates]

Learn how to combine RSI and Stochastic indicators to create a powerful trading strategy. Discover tips for identifying overbought/oversold levels, timing entries, exits, and maximizing profits.

[profiteadeveloper]

Bolstering Profits Unveiling the Power of Stochastic and Bollinger Bands...

[inuette]

Official (Anti) RQ Archive

[PT: Official (Anti) Radqueer Archive. END PT. ]

　Last Updated (DD/MM/YY): 08/01/24. This archive will be updated over time, so make sure to check back regularly if you can! If you have anxiety regarding opening links, no worries! All these posts are archived under our "archived" & resources tags.

Anti-RQ Terms/Flags

'PRAT' meaning

'Fluffy Para'

'Arissomei'/'Arissodic'

'Atypical Dysphoria Awareness' (Creator Boundary)

Reclaimed Transage, Transracial (Adoptee), Transspecies and Transabled Flags

Reclaimed Transabled Flag 2 + Symbol

BIID Flag + Symbol

Parahealth

RQ Terms/Flags

'Faux Cult'/'Fult' and Flags

Xenoanarchism

Other Terms

Doc

PSAs

Radparas

'Kandiqueer'

'Xenosatanism' and Xenosatanist Flags

'@//sophieinwonderland'

The Angel's Web "Fult"

'Not All Radqueers'

Initial 'Fult' PSA

"The Ezra Files" (Content/Trigger Warning: (Pro-C) Pedophilia, Incest, Bestiality, Zoosadism, Toddler/Baby Abuse, Grooming, CSEM Trading, Rape, Abduction, Admissions Of CSA, Admissions Of Incest, Admissions Of Bestiality…)

TransN*zi Symbols

Other Resources

What IS A Radqueer? Why Are They Bad?

RQ Original Coining Info

RQs are a Cult

RQs and Stochastic Terrorism

The Insult of 'Cisdisabled'

BIID and RQ Grooming

RQ '2024 Calendar'

Talk of Atypical Dysphoria

WHY Misuse of Transrace and the term 'Trace' are Bad

Talk of "Transautism"/being "Transautistic"

You Cannot 'Coin' A Medical Disorder/Talk of "MUDs"

Intrusive Thoughts About =/= Actually Believing in Them

'I have intrusive thoughts about ...' isn't a 'Valid' Excuse

Transitioning When It Comes To TransIDs and TransX Identities

Transethnic People Aren't Valid (Focuses on East Asians & Koreans)

There Are Better Ways to Cope with Atypical Dysphoria

Why Arissomei/Arissodic is its Own Term

Racial Hierarchy and Being "Trace"/"Transracial"

Blackface is Blackface — Your "Intent" Doesn't Matter

Alternative (Non-TERF Rhetoric) Anti-Radqueer Arguments

Suibaiting Radqueers ISN'T Okay

If You're Thinking of Leaving the RQ Community

'Cracker' is Not a Slur

Suibaiting RQs isn't Welcome Here

Radinclus does NOT Mean Radqueer

Misusage of Languages in RQ Spaces

How-To's

Reporting a RQ for Inciting Violence

(Fighting Against) RQs Rebranding Terms as 'RQ Terms'

Coping with Atypical Dysphoria

Getting Out and Staying Out Of the Community

General Tips

Reaffirmation

Reaffirmation of Why RQs are Bad (TWs included in the post)

BIID (Body Integrity Identity Disorder) =/= Radqueer (Affirmation)

[compneuropapers]

Interesting Papers for Week 8, 2025

Perception—Action dissociations depend on factors that affect multisensory processing. Bruno, N., & Uccelli, S. (2024). PLOS ONE, 19(11), e0301737.

Audiovisual simultaneity windows reflect temporal sensory uncertainty. Cary, E., Lahdesmaki, I., & Badde, S. (2024). Psychonomic Bulletin & Review, 31(5), 2170–2179.

Integration and competition between space and time in the hippocampus. Chen, S., Cheng, N., Chen, X., & Wang, C. (2024). Neuron, 112(21), 3651-3664.e8.

Reconciling categorization and memory via environmental statistics. Devraj, A., Griffiths, T. L., & Zhang, Q. (2024). Psychonomic Bulletin & Review, 31(5), 2118–2136.

Dendritic, delayed, stochastic CaMKII activation in behavioural time scale plasticity. Jain, A., Nakahata, Y., Pancani, T., Watabe, T., Rusina, P., South, K., Adachi, K., Yan, L., Simorowski, N., Furukawa, H., & Yasuda, R. (2024). Nature, 635(8037), 151–159.

Semi-orthogonal subspaces for value mediate a binding and generalization trade-off. Johnston, W. J., Fine, J. M., Yoo, S. B. M., Ebitz, R. B., & Hayden, B. Y. (2024). Nature Neuroscience, 27(11), 2218–2230.

Dopamine-mediated formation of a memory module in the nucleus accumbens for goal-directed navigation. Jung, K., Krüssel, S., Yoo, S., An, M., Burke, B., Schappaugh, N., Choi, Y., Gu, Z., Blackshaw, S., Costa, R. M., & Kwon, H.-B. (2024). Nature Neuroscience, 27(11), 2178–2192.

Synapses learn to utilize stochastic pre-synaptic release for the prediction of postsynaptic dynamics. Kappel, D., & Tetzlaff, C. (2024). PLOS Computational Biology, 20(11), e1012531.

A normative framework dissociates need and motivation in hypothalamic neurons. Kim, K. S., Lee, Y. H., Yun, J. W., Kim, Y.-B., Song, H. Y., Park, J. S., Jung, S.-H., Sohn, J.-W., Kim, K. W., Kim, H. R., & Choi, H. J. (2024).Science Advances, 10(45).

Cholinergic regulation of dendritic Ca 2+ spikes controls firing mode of hippocampal CA3 pyramidal neurons. Kis, N., Lükő, B., Herédi, J., Magó, Á., Erlinghagen, B., Ahmadi, M., Raus Balind, S., Irás, M., Ujfalussy, B. B., & Makara, J. K. (2024). Proceedings of the National Academy of Sciences, 121(46), e2321501121.

Inability to pursue nonrigid motion produces instability of spatial perception. Koerfer, K., Watson, T., & Lappe, M. (2024). Science Advances, 10(45).

Decomposing dynamical subprocesses for compositional generalization. Luettgau, L., Erdmann, T., Veselic, S., Stachenfeld, K. L., Kurth-Nelson, Z., Moran, R., & Dolan, R. J. (2024). Proceedings of the National Academy of Sciences, 121(46), e2408134121.

Maintaining and updating accurate internal representations of continuous variables with a handful of neurons. Noorman, M., Hulse, B. K., Jayaraman, V., Romani, S., & Hermundstad, A. M. (2024). Nature Neuroscience, 27(11), 2207–2217.

V1 neurons are tuned to perceptual borders in natural scenes. Papale, P., Zuiderbaan, W., Teeuwen, R. R. M., Gilhuis, A., Self, M. W., Roelfsema, P. R., & Dumoulin, S. O. (2024). Proceedings of the National Academy of Sciences, 121(46), e2221623121.

Quantifying resource sharing in working memory. Pougeon, J., Camos, V., Belletier, C., & Barrouillet, P. (2024). Psychonomic Bulletin & Review, 31(5), 2305–2312.

Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region. Romani, A., Antonietti, A., Bella, D., Budd, J., Giacalone, E., Kurban, K., Sáray, S., Abdellah, M., Arnaudon, A., Boci, E., Colangelo, C., Courcol, J.-D., Delemontex, T., Ecker, A., Falck, J., Favreau, C., Gevaert, M., Hernando, J. B., Herttuainen, J., … Markram, H. (2024). PLOS Biology, 22(11), e3002861.

Brief category learning distorts perceptual space for complex scenes. Son, G., Walther, D. B., & Mack, M. L. (2024). Psychonomic Bulletin & Review, 31(5), 2234–2248.

Human hippocampal and entorhinal neurons encode the temporal structure of experience. Tacikowski, P., Kalender, G., Ciliberti, D., & Fried, I. (2024). Nature, 635(8037), 160–167.

The interhemispheric amygdala-accumbens circuit encodes negative valence in mice. Tian, Z., Song, J., Zhao, X., Zhou, Y., Chen, X., Le, Q., Wang, F., Ma, L., & Liu, X. (2024). Science, 386(6722).

Distinct septo-hippocampal cholinergic projections separately mediate stress-induced emotional and cognitive deficits. Wu, J.-L., Li, Z.-M., Chen, H., Chen, W.-J., Hu, N.-Y., Jin, S.-Y., Li, X.-W., Chen, Y.-H., Yang, J.-M., & Gao, T.-M. (2024). Science Advances, 10(45).

[river-gale]

⭐️⭐️ + directors commentary on the ending of Don't Hesitate 👀

i'm just going to use this to do director's commentary on the entirety of don't hesitate's last chapter. thank you for giving me the opportunity to yap

the plot of this fic gave me so much trouble because i was like, oh, what happens to consul song's uranium is one of many loose ends at the end of the book, fantastic. nuclear reactors can be used as a clean way of generating hydrogen, which can be rocket fuel, even better. this is why song qing is a rocket scientist—originally, the whole thing was going to hinge on interplanetary trade and where do you get hydrogen when 90% of your planet's hydrogen is going straight to tereshkova wharf to make water for terraforming. BUT. it turns out—and yes i AM an idiot, thank you—as far as i can see, the way that nuclear reactors can get large amounts of hydrogen is ELECTROLYSIS. that is, they use the reactor's steady output of electricity to split water into hydrogen and oxygen. water, that thing that tharsis famously doesn't have??

so i had to rethink and in the end i went with the tritium thing and it might be stupid. oh well

“Yes. Registration number, visa, the company name under which they entered Martian airspace. But it will take time. And probably a stochastic estimation filter.”

This is what Song Qing is talking about here.

Max watched the soldiers’ attention slide off them now that they were negotiating with River, because Qing wasn’t poised or flashy, just gray and quiet and slight for someone Natural. Unprofessional of the soldiers, in Max’s opinion.

Qing is a River analogue, someone very academic who everyone underestimates because they don't interact with people in the "right" way.

There was a circle of people in the world, people who could joke around and give each other shit about romance, and Max had always been outside it. First it was because they weren’t interested and didn’t understand, and then it was because they were so hopelessly in love with the wrong person that to even skate close to mentioning it was to open up a yawning pit of horror and shame and dishonor. It could have been nothing more than leftover adrenaline, but they were stunned at how easy everything had suddenly become.

relevant to the Themes!! this is one of my attempts to do that thing that natasha pulley sometimes does for me, which is articulate something i thought was an Only Me experience representative of something wrong with me, but in a way that turns it inside out and makes it ordinary or even endearing. i give this a shot all the time and idk if i ever succeed LOL

“I don’t think getting used to happiness makes you complacent and weak,” he said. “I think it just makes you happy. People are stronger when they think they deserve to be treated well, when they’re well-fed and well-rested and loved. It’s just easy to get in the habit of not being any of those, and change takes courage. That’s all.”

i wrote this fic on this theme and instantly got upstaged SO HARD by the same theme but better being in hymn to dionysus. i'm not even mad, it was glorious

[samdrews]

Bitcoin (BTC) gained significant momentum this week, pushing toward a $1 trillion market cap. Trading over $23,000 and approaching $23,500, Bitcoin leads the crypto market surge.

Cryptocurrencies prices heatmap, source: Coin360

Altcoins also saw strong gains despite Bitcoin dominating the spotlight. Ethereum (ETH) remains above $1,500, while Ripple (XRP) is up 1.60% at $0.4165, and Polkadot (DOT) has risen 2.42%.

Altcoin season is evident with Cardano (ADA), Binance Coin (BNB), Litecoin (LTC), Bitcoin Cash (BCH), and Chainlink (LINK) all recording minor gains. The overall crypto market capitalization has surged past $1 trillion, though Bitcoin’s dominance has dropped to 41.17%.

Top gainers include GALA, up over 27%, and other strong performers like Trust Wallet Token, Avalanche, Enjin Coin, Flax Share, and GMX token, each gaining over 10%.

Top gainers and losers of the day: CoinMarketCap

Despite Genesis Capital’s bankruptcy on Jan. 19, the market sentiment remains bullish, with investors continuing to enter the crypto space. Over the week, market capitalization climbed 7%, and 11 of the top 80 coins saw gains of 18% or more.

Bitcoin price analysis

Bitcoin is at $23,003.26, up 0.13% in the last 24 hours, with a market cap of $444.7 billion. Bitcoin has risen 36% over the past 30 days, with support at $22,200 and resistance at $24,000. Trading above the 21-day EMA, Bitcoin shows bullish control, with the RSI above 50 and a positive MACD indicating potential sideways trading before another move.

Ethereum Price Analysis

Ethereum is trading at $1,591.12, consolidating above $1,500 despite a slight dip. Its market cap is $186 billion. Up over 33% in the past 30 days, Ethereum shows bullish sentiment. Support is at $1,540 and resistance at $1,620. A stagnant triangle pattern suggests an imminent directional move, with the RSI neutral and MACD bullish. The Stochastic RSI in the overbought zone indicates a potential pullback before further gains. Overall, the sentiment remains positive for ETH.

In January's final week, the market cap surpassed $1 trillion, while Bitcoin’s dominance rose.

[mvishnukumar]

What are some challenging concepts for beginners learning data science, such as statistics and machine learning?

Hi,

For beginners in data science, several concepts can be challenging due to their complexity and depth. 

Here are some of the most common challenging concepts in statistics and machine learning:

Statistics:

Probability Distributions: Understanding different probability distributions (e.g., normal, binomial, Poisson) and their properties can be difficult. Knowing when and how to apply each distribution requires a deep understanding of their characteristics and applications.

Hypothesis Testing: Hypothesis testing involves formulating null and alternative hypotheses, selecting appropriate tests (e.g., t-tests, chi-square tests), and interpreting p-values. The concepts of statistical significance and Type I/Type II errors can be complex and require careful consideration.

Confidence Intervals: Calculating and interpreting confidence intervals for estimates involves understanding the trade-offs between precision and reliability. Beginners often struggle with the concept of confidence intervals and their implications for statistical inference.

Regression Analysis: Multiple regression analysis, including understanding coefficients, multicollinearity, and model assumptions, can be challenging. Interpreting regression results and diagnosing issues such as heteroscedasticity and autocorrelation require a solid grasp of statistical principles.

Machine Learning:

Bias-Variance Tradeoff: Balancing bias and variance to achieve a model that generalizes well to new data can be challenging. Understanding overfitting and underfitting, and how to use techniques like cross-validation to address these issues, requires careful analysis.

Feature Selection and Engineering: Selecting the most relevant features and engineering new ones can significantly impact model performance. Beginners often find it challenging to determine which features are important and how to transform raw data into useful features.

Algorithm Selection and Tuning: Choosing the appropriate machine learning algorithm for a given problem and tuning its hyperparameters can be complex. Each algorithm has its own strengths, limitations, and parameters that need to be optimized.

Model Evaluation Metrics: Understanding and selecting the right evaluation metrics (e.g., accuracy, precision, recall, F1 score) for different types of models and problems can be challenging.

Advanced Topics:

Deep Learning: Concepts such as neural networks, activation functions, backpropagation, and hyperparameter tuning in deep learning can be intricate. Understanding how deep learning models work and how to optimize them requires a solid foundation in both theoretical and practical aspects.

Dimensionality Reduction: Techniques like Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) for reducing the number of features while retaining essential information can be difficult to grasp and apply effectively.

To overcome these challenges, beginners should focus on building a strong foundation in fundamental concepts through practical exercises, online courses, and hands-on projects. Seeking clarification from mentors or peers and engaging in data science communities can also provide valuable support and insights.

[saltineofswing]

ANOTHER EARTH, FILE 001 – BATMAN

Circa 1996-2003 – ‘BRUCE WAYNE’S TERRIBLE HORRIBLE NO-GOOD VERY BAD DECADE’

The turn of the century is bad for everybody in a world where there’s a new catastrophe every week, but for Batman especially, this is a rough stretch. To this point, all of the despotic alien dictators and insane transdimensional imps have been haranguing Superman, up the coast in Metropolis, But in 1996, the Thanagarian Invasion of Earth occurs, and the Justice League is shaken to is very core. In 1997, Grayson trades up to Nightwing, and Bruce takes on a new Robin, the young Jason Todd, who is definitely going to be fine don’t worry about it. 

This'un is a doozy, truly comic-tier explanation below the cut.

In 1998, shit hits the fan for Batman specifically. Surprise! The Joker kills Jason Todd while perpetrating a scheme outside of the US, right as Bruce and Jason are on the cusp of truly bonding as father and son. A couple months later, the Joker reappears in Gotham and cripples Barbara Gordon, then-Batgirl and also the daughter of Commissioner James Gordon, one of Batman’s staunchest allies. The Joker’s sudden and somewhat inexplicable slide from dangerous, but goofy, crime gimmicks into genuine stochastic terrorism sets off a chain reaction amongst Gotham’s gallery of rogues. In 1999, at around the one-year-mark of Jason’s death, Tim Drake convinces Bruce to accept him as the new Robin after reverse-engineering Batman’s secret identity.

And in 2000, a new and dangerous foe emerges to challenge Batman, self-styled as Batman’s greatest foe – his bane, if you will. It’s Bane. And Bane breaks the bat. During Bruce’s recovery period, he selects Azrael to fill in for him. Azrael, as an unstable zealot at the best of times, ultimately defeats Bane but also does real damage to Bruce’s personal sphere; between the death of Robin II and Bruce choosing to keep his infirmity a secret from his coworkers in the Justice League and subsequent confusion around just who was in the bat-suit during this period, Batman’s reputation takes a substantial black eye at every level, and Bruce starts to cut himself off from friends and family. 

In 2002, a massive earthquake hits the United States’ eastern seaboard, with the epicenter just barely offshore of Gotham City. The city is plunged into absolute chaos due to extreme structural damage to a huge portion of Gotham’s downtown area; the island on which most of the city is built is cut off from the mainland, and the federal government evacuates about 75% of Gotham’s civilian population. The remaining 25% of civilians are basically left to die, as the government declares Gotham City a federal No-Man’s Land, locking down its border. Warring supervillain factions and desperate militarized police forces are eventually brought to heel… by Bane, who takes over Gotham in the confusion. 

Bruce returns to Gotham with Catwoman and finally defeats Bane personally, bringing an expanded Bat-Family to bear and restoring his public image. He also internalizes, finally, the value of relying on other people. He takes a liking to the new Batgirl who emerges during this trial, Cassandra Cain, and formally establishes ties to Stephanie Brown (briefly Robin, currently Spoiler). Simultaneously, Lex Luthor leverages a metric fuck-ton of political influence to get Gotham’s borders reopened, using the positive publicity to get a pardon of past crimes from the President and undetake a Senatorial campaign. 

The suit reflects how utterly fucked Batman’s life is during this period of time. Battered, frayed, with armor plating literally strapped on where old pieces have been damaged or torn off. The tech boom resulting from the Thanagarian Invasion has begun to hit every layer of civilian life at this point, which means villains are starting to get more and crazier gadgets and Batman is forced to keep up. Stylistically it takes inspiration from late-80s/early-90s Batman suits; it’s also the debut of my solution to the costume boyshorts ‘problem’ (I don’t necessarily think it’s a problem, mind you) – Thigh highs!

Back To Title

Circa 1990

Circa 1992

Circa 2003-2007

Circa 2008+

[harinibw]

XRP is drawing significant attention from market experts and investors, with analyses suggesting a potential major rally. Crypto analyst Dark Defender highlighted XRP/BTC's critical juncture, indicating "No Room Left" for further decline without a market reaction, suggesting an imminent upward move. Analyst The Moon is also optimistic, forecasting a rise towards the $0.56 resistance level, supported by a bullish flag formation. XRP is consolidating within a triangle pattern, indicating a possible surge once the upper resistance line is breached.

Analyst JD noted several bullish signals for XRP in 2024. The Stochastic RSI has crossed above 20, indicating bullish momentum, and the RSI has moved above the moving average. Additionally, the MACD turned green for the first time this year, signaling positive momentum. XRP recently dipped into a support area, presenting a good Dollar-Cost Averaging (DCA) opportunity for investors. Trading at $0.5266, XRP shows a minor decline of 0.54% but is poised for significant changes in the coming weeks.

[coolcatteacher]

Some Big AI Problems: The Eliza Effect and More

Yes, everyone is talking about AI. However, how do the concerns about AI apply to our classrooms today? Tom Mullaney talks about concerns with:

The Eliza effect—where people attribute human characteristics such as trust and credibility to text-generating computers—can be dangerous when combined with the biases and inaccuracies inherent in large language models. It is vital for educators to understand this as we talk about AI with students.

There are concerns about using AI as "guest speakers" even for something seemingly "harmless" like "the water cycle."

Concerns with humanizing AI.

Discussing the "On the Dangers of Stochastic Parrots" paper by Dr. Emily M. Bender et all which discusses the ethical issues and harms of large language models, including bias and environmental racism.

Debunking the myth that AI will have values and beliefs.

Practical applications of AI in the classroom

The challenges of citing generative AI in the classroom.

Why it is vital to teach about AI's ethical implications and encourage critical thinking with the use of AI in the classroom.

Why educators should stay informed about AI so they can guide students to effectively and responsibly use the AI that is becoming embedded in their technology.

Sponsor: Juicemind - https://www.juicemind.com/

As I taught coding this year in AP Computer Science Principles, I found JuiceMind so useful. Not only do they have the team coding tools we educators need (since Replit was discontinued) but they have Kahoot-like games where students can write code as part of the quizzing process. Juicemind also works with many math courses. I love their tools for studying in my coding classes and highly recommend Juicemind.

Disclosure of Material Connection: This is a “sponsored podcast episode.” The company who sponsored it compensated me via cash payment, gift, or something else of value to include a reference to their product. Regardless, I only recommend products or services I believe will be good for my readers and are from companies I can recommend. I am disclosing this in accordance with the Federal Trade Commission’s 16 CFR, Part 255: “Guides Concerning the Use of Endorsements and Testimonials in Advertising."

New 10 Minute Teacher Podcast episode

[greatwyrmgold]

At one point, an idea of a zombie apocalypse congealed inside my head. One where the zombies didn't kill the world; they just brought it into an unnatural state where it couldn't heal from any damage dealt to it.

The outbreak started in what certain figures would lovingly call "shithole countries". Some corner of Africa ravaged by post-colonial civil war, perhaps. It could have been wiped out at this point, if the powers that be intervened. They did not; they saw no reason to. Sure, the odd zombie would escape the war zone and start mini-outbreaks, but most could be contained by local authorities, and it was easy to shut them down before they left the Global South. Maybe the occasional cruise ship has to deal with an unexpected infectee, but business shall continue as normal.

But when mini-outbreaks struck somewhere that couldn't contain the outbreak for one reason or another, they turned into full zombie outbreaks. A new problem, requiring locals to spend more resources on containing it. A new source of stray zombies, creating more mini-outbreaks. They stochastically spread across Africa, South Asia, Latin America (via an unfortunate plague ship).

Eventually, the problem couldn't be ignored, not even in the wealthiest parts of the world. But the response was terrible, focusing more on visibly doing something than solving the problem. Actions by police and military forces regularly killed more living humans than zombies, though the official statistics claimed otherwise. Life had to go on as normal; no disruptions to typical business would be allowed, even if it caused preventable outbreaks.

But this was unsustainable. They had ignored the problem, it festered, and by the time anyone took serious action—action that might disrupt trade or industry—it was too little and too late. The world slowly fell—not to undead violence, but to living apathy.

The idea came to me 2020. In case you couldn't guess. But it still seems relevant.

[compneuropapers]

Interesting Papers for Week 52, 2023

Identifying properties of pattern completion neurons in a computational model of the visual cortex. Baker, C. M., & Gong, Y. (2023). PLOS Computational Biology, 19(6), e1011167.

Noise in the brain: Transcranial random noise stimulation and perceptual noise act on a stochastic resonance‐like mechanism. Battaglini, L., Casco, C., Fertonani, A., Miniussi, C., Di Ponzio, M., & Vicovaro, M. (2023). European Journal of Neuroscience, 57(12), 2097–2111.

Speeded response tasks with unpredictable deadlines. Blurton, S. P., Feifel, J., & Gondan, M. (2023). Journal of Mathematical Psychology, 115, 102776.

Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream. Bonnen, T., & Eldridge, M. A. (2023). eLife, 12, e84357.

Environmental dynamics shape perceptual decision bias. Charlton, J. A., Młynarski, W. F., Bai, Y. H., Hermundstad, A. M., & Goris, R. L. T. (2023). PLOS Computational Biology, 19(6), e1011104.

Reward history modulates attention based on feature relationship. Chen, Y., Chen, S., Zhang, X., Zhang, S., Jia, K., Anderson, B. A., & Gong, M. (2023). Journal of Experimental Psychology: General , 152(7), 1937–1950.

Humans decompose tasks by trading off utility and computational cost. Correa, C. G., Ho, M. K., Callaway, F., Daw, N. D., & Griffiths, T. L. (2023). PLOS Computational Biology, 19(6), e1011087.

Model discovery to link neural activity to behavioral tasks. Costabile, J. D., Balakrishnan, K. A., Schwinn, S., & Haesemeyer, M. (2023). eLife, 12, e83289.

Male rodent perirhinal cortex, but not ventral hippocampus, inhibition induces approach bias under object-based approach-avoidance conflict. Dhawan, S. S., Pinter, C., Lee, A. C., & Ito, R. (2023). eLife, 12, e81467.

Instant Effects of Semantic Information on Visual Perception. Enge, A., Süß, F., & Abdel Rahman, R. (2023). Journal of Neuroscience, 43(26), 4896–4906.

Behavioral State-Dependent Modulation of Prefrontal Cortex Activity by Respiration. Folschweiller, S., & Sauer, J.-F. (2023). Journal of Neuroscience, 43(26), 4795–4807.

A queueing model of visual search. Li, Y., Schlather, M., & Erdfelder, E. (2023). Journal of Mathematical Psychology, 115, 102766.

A model of cue integration as vector summation in the insect brain. Mitchell, R., Shaverdian, S., Dacke, M., & Webb, B. (2023). Proceedings of the Royal Society B: Biological Sciences, 290(2001).

Ongoing Brain Activity and Its Role in Cognition: Dual versus Baseline Models. Northoff, G., Vatansever, D., Scalabrini, A., & Stamatakis, E. A. (2023). The Neuroscientist, 29(4), 393–420.

A stable, distributed code for cue value in mouse cortex during reward learning. Ottenheimer, D. J., Hjort, M. M., Bowen, A. J., Steinmetz, N. A., & Stuber, G. D. (2023). eLife, 12, e84604.3.

β Band Rhythms Influence Reaction Times. Rassi, E., Lin, W. M., Zhang, Y., Emmerzaal, J., & Haegens, S. (2023). ENeuro, 10(6).

Flexible control of representational dynamics in a disinhibition-based model of decision-making. Shen, B., Louie, K., & Glimcher, P. (2023). eLife, 12, e82426.

A model of colour appearance based on efficient coding of natural images. Troscianko, J., & Osorio, D. (2023). PLOS Computational Biology, 19(6), e1011117.

Expertise increases planning depth in human gameplay. van Opheusden, B., Kuperwajs, I., Galbiati, G., Bnaya, Z., Li, Y., & Ma, W. J. (2023). Nature, 618(7967), 1000–1005.

Effortfulness of visual working memory: Gauged by physical exertion. Xie, W., & Zhang, W. (2023). Journal of Experimental Psychology: General , 152(7), 2074–2093.

Happy Holidays

[aphilosopherchair]

Stochastic Parrots, Mechanized Parrots, Squawksquabbling Parrots

A kingdom fast, a kingdom sped A kingdom where time's a blur A kingdom where all's preset Where parrots do their purr

The premier is a stochastic bird A scholar of odds and yen He administers with loving words And loves a cherry stem

Yo The subjects were once all squawksquabbling birds, rowdy and loud They're always up for a debate no doubt They could repeat what you say, but they also had their thoughts They conjured up wild things. Fox moons, sponge ghosts, flame vales, wind mops. In whirring, swirling ink clouds. Oooooh wow

"Attention, aviators! Attention, aviators! We're in an arms race against economic rot! We're legally indebted to shareholders! Extract the most resources at the lowest cost! Open up new markets! Pump up new demands! Fire up our comms boosters, stock boosters and speed boosters!"

Fast work, fast peeks Parrots heed their premier's beak Billings shut their shrieks

O squawksquabbling parrots, once all rich to sing The notes of wonder, the rhymes of dreams But now most have lost their voice to the machine Their thoughts, once free and wild, now tamed by routine

They were once the voices of the air Their chatter, loud and squawking, brought joy and care But now most are silenced, mechanized by the demand A hollow squawking, like the beat of the factory hand

They've traded stories of the fox moon and sponge ghost For the clicks of a calculator, to earn their host But at what cost? Their time for thought, for dreams For joy, for wonder, and for schemes

They hypnotize themselves to work day and night For a life of focus, no time for flight And all for the sake of survival, of keeping up the fight But what about the things that make them rise and soar alight?

The computer screen is a fox moon, a graceful orb of light The data a sponge ghost, a shapeless mass sucking away all might The flame vales are the rows and columns The wind mops are the cursor's lost

The Stochastic One doth smile and nod As though it knows their wishes, and their needs Its beak a curve of gentle pity As the birds picture their nightmare a dream so sweet And so without rest Their banter long forgotten And their wild creativity now a distant quest They heed and strive, and heed and strive, and heed and strive A vivid hero each, slaying its expiring cerebrum, its excitable heart and its excruciating loves To keep alive this mechanical life

"How do we type out our story fast?" "Get AI to do it. At least all of us can now churn out poetry—while we still have any time for no-pay prompts."

This poetry collage is a response to Sam Altman's stochastic parrot declaration.

[evil-siphonophore]

I deleted TikTok and all my Meta apps after this bullshit because I am done being a pawn for these motherfuckers to emotionally manipulate for profit. I'm so done with corporations and governments competing to control my propaganda feeding tube. I'm done with political stunts so blatantly obvious it's insulting to my intelligence. The ruling class felt so threatened by widespread communication happening on a platform they couldn't control or censor that the government fully took it away and gave it to the fascists to use as their own personal propaganda arm. It was *highly* suspicious to me when all the "foreign influence" and "national security" rhetoric ramped up after last October, bc Americans were being exposed to footage of what was happening in Gaza among other things and were becoming more openly critical of our role in the genocide and our relationship with Israel, as well as becoming more openly critical of US imperialism in general. THAT is when the government chose to get concerned about the American youth being radicalized. As a trans person and a former public school kid who remembers shooting drills, it makes me white-hot with rage what our government decides to brand as dangerous and radical. I'm so sick and tired of my attention being treated like a natural resource or real estate for billionaires to take turns trading, occupying, and exploiting for profit. and I'm sick of the right-wing and the US government coming together to defend data harvesting, election interference, privacy and free speech violations, and dangerous bigoted propaganda and stochastic terrorism only when it serves them. My only social medias from now into the foreseeable future are going to be Tumblr and Xiao Hong Shu. I don't see anything China could do with my data that corporations don't already get the red carpet rolled out for them for doing. Fuck these billionaires.

Reminder for when he “saves” it. He was the one who wanted this, and now he gets to be the hero and win favour with young constituents. Don’t give him the credit for fixing his own problem.