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Similar Response Dynamics Represent Opposite Behaviors and Rewards in the Frontal Cortex

The frontal cortex (FC) has been implicated in many of the cognitive and executive control functions required for goal-directed behavior (Komura et al., 2001; Bruni et al., 2015; Duan et al., 2021; Friedman and Robbins, 2021), including decision-making (Coley et al., 2021; Liu et al., 2021), response inhibition (Schiller et al., 2014; Li et al., 2020), working memory (O’Reilly and Frank, 2006; Miller et al., 2018; Wilhelm et al., 2023), attentional control (Zikopoulos and Barbas, 2007; Gregorlou et al., 2014), and adaptive modulation of sensory filters (Banerjee et al., 2020). In the auditory system, cortical neurons can rapidly adapt their receptive field tuning and spectrotemporal selectivity reflecting changing stimulus context and task conditions (Fritz et al., 2003, 2005, 2007; David et al., 2012; Yin et al., 2014; Elgueda et al., 2019). This task-related receptive field plasticity may be shaped by changing functional connectivity between FC and auditory cortex (Fritz et al., 2010; Sheikhattar et al., 2018; Yin et al., 2020). This adaptive capacity is critical since context can transform the behavioral meaning of incoming stimuli and even cause the same sound to mean two opposite things in different circumstances.

In this study, we explored the role of the FC in this adaptive decision-making process by employing the same sounds to signify diametrically opposite meanings depending on task context and reward valence. In one behavioral paradigm, upon hearing a Target sound, animals initiated licking to obtain a water reward (positive reward; P-paradigm). In the other paradigm, animals learned to stop licking for water when presented with the same Target stimulus in order to avoid a mild shock (negative reward; N-paradigm). In an earlier study (David et al., 2012), we found that such different task reward structures and stimulus-action contingencies induced two strikingly distinct forms of receptive field plasticity in primary auditory cortex (A1). In light of the strong top-down projections from the FC to auditory cortex (AC) influencing dynamic sensory filters (Caras and Sanes, 2017; Bimbard et al., 2018; Schneider et al., 2018; Winkowski et al., 2018; Mittelstadt and Kanold, 2023; Macedo-Lima et al., 2024), we wondered whether the differential receptive plasticity was driven by distinct FC representations of the two opposite behavioral paradigms.

Therefore, we trained two groups of ferrets on two opposite auditory categorical Go-NoGo paradigms, requiring each group to discriminate noncompact sound categories (Yin et al., 2016, 2020). Task stimuli varied along two acoustic feature dimensions: spectral frequency (TN-task) or temporal modulation rate (amplitude-modulated white noise, AM-task). As indicated above, in the P-paradigm group, ferrets learned to lick for water reward when Target stimuli were presented and refrained from licking to Reference stimuli. In contrast, the group that learned the N-paradigm performed the opposite behavior and refrained from licking for water when Target stimuli were presented but could lick freely to Reference sounds (Fig. 1 A).

Google’s Westinghouse Bet

In the article “Google’s Westinghouse Bet” published on Asimov’s Addendum, Tim O’Reilly presents an alternate thesis regarding the organizational shifts, talent departures, and strategic shakeups at Google DeepMind.

While industry reports (such as a analysis by SemiAnalysis) interpreted the DeepMind restructuring as evidence that Google is falling behind in the “frontier model race” against rivals like OpenAI and Anthropic, O’Reilly argues that Google is not losing the race—it is choosing to run a different one.


SemiAnalysis thinks the DeepMind shakeup means Google is losing the AI race. It might be that Google is choosing to run a different race.

Lost Primal Eye Paradigm scientific review and update August 2026

A growing body of research across paleoneurology, evolutionary biology, and chronobiology now supports the core mechanisms of Steve Nichols’s Lost Primal Eye paradigm aka Median Vision Theory (MVT). This is a regular scientific review and update posted for The Posthuman University Journal on academia.edu August 2026 Palaeoneurology and Therapsid Evolution Benoit et al. (2016) (Acta Palaeontologica Polonica): Examined over 800 therapsid fossil skulls, documenting the convergent, gradual reduction and complete loss of the parietal foramen across Permo-Triassic eutheriodonts. The study directly links the degeneration of the physical pineal eye to the evolution of mammalian endothermy, nocturnal adaptation, and the transfer of photoreception to paired lateral eyes.

Technological Convergence — the DARPA Lift Challenge

The DARPA Lift Challenge aims to shatter the heavy-lift bottleneck by seeking novel drone designs capable of carrying payloads more than four times their weight. This would revolutionize how we use drones across all sectors.

As military missions become more complicated, warfighters need more capable drones to use across diverse scenarios. The same applies to infrastructure inspection, package delivery, disaster response, and other civilian applications.

Current multirotor drones, also known as unmanned aircraft systems (UAS), are simple, affordable, and easy to operate. But their payload-to-weight ratio is low, typically 1:1 or less.

DARPA Challenges accelerate technological breakthroughs by focusing the ingenuity of teams of innovators and giving wild ideas a place to thrive.

Follow along at www.darpaliftchallenge.com

The Great Progression: Peter Leyden on AI and the Next 25 Years

80 years, America tears itself down and rebuilds. 1776. 1865. 1945. And now, according to Peter Leyden, 2025.

A couple of months ago I sat down with Peter for SingularityFM. He’s the guy who co-wrote the 1997 “Long Boom” cover story for WIRED, and he’s spent three decades trying to map where this civilization is actually headed. His new book, The Great Progression (HarperCollins), makes an audacious claim:

AI, clean energy, and bioengineering are converging into a change on the scale of the Enlightenment. And Trump, in his framing, isn’t the future. He’s the wrecking ball that clears the ground for whatever comes next.

I didn’t let him off easy. I pushed him on the human cost every one of these reinventions has demanded in the past. I pushed him on the myth of golden ages, using Ada Palmer’s work on the Renaissance. I pushed him on Denmark and Norway ripping devices back out of classrooms after being early adopters. He had an answer for all three. Whether they hold up is for you to decide.

What we get into:

The email from Kevin Kelly that pulled Peter into WIRED’s founding years What the Long Boom thesis got right, and what it missed Why he calls Trump a wrecking ball, not a builder The coming “abundance politics” coalition The strange pessimism about AI unique to English-speaking countries How writing this book with AI made him 2 to 3x more productive.

A new drug that can potentially overcome cancer therapy resistance

Researchers at Baylor College of Medicine have developed a drug called CS18 that disrupts cancer cells’ ability to survive therapy. The findings, published in Science Advances, support exploring the possibility of using CS18 to treat human cancer in the future.

“Therapeutic resistance is a main obstacle to achieving effective and durable cancer treatments,” said corresponding author Dr. Weei-Chin Lin, professor of medicine—hematology and oncology—and molecular and cellular biology at Baylor. “While some therapies are effective at the beginning, many patients eventually relapse because cancer cells can activate compensatory and convergent biological pathways that allow them to overcome the toxic effects of therapy, promoting survival.”

In the current study, the researchers’ goal was to develop a drug that would target a “biological switchboard”—topoisomerase IIβ-binding protein 1 (TopBP1)—that controls several cancer-driving pathways at once and to determine whether this strategy could deliver durable responses and overcome resistance.

Astronomers catch massive galaxy assembling piece by piece 1.2 billion years after Big Bang

Astronomers have discovered a remarkably tiny group of six young galaxies just 1.2 billion years after the Big Bang. This may be a rare glimpse of how some of the universe’s largest galaxies formed. The paper outlining the findings was submitted to the arXiv preprint server on July 13.

Chaotic patches The widely accepted cosmological model of the universe known as the Lambda Cold Dark Matter Model suggests that galaxies primarily form hierarchically through mergers. That means they grow piece by piece, as smaller galaxies merge over billions of years. In this context, dense regions in the early universe serve as natural laboratories to test this idea.

These dense patches, known as protoclusters and proto-groups, are young clusters of galaxies packed into a region just tens of thousands of light-years across and represent an especially brief and extreme stage in galaxy evolution. Spotting them requires telescopes sensitive enough to detect faint, low-mass galaxies at extreme distances, and precise enough to confirm that the galaxies are truly bound together.

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