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Today β€” 22 January 2025Spectrum | Autism Research News

Neuroscientists need to do better at explaining basic mental health research

21 January 2025 at 05:00
The knowledge gap between scientists, health-care professionals, policymakers and people with mental health conditions is growing, slowing the translation of basic science to new treatments. Like lawyers learning to present a case to the court, scientists should learn to educate nonscientists about their findings.

Yesterday β€” 21 January 2025Spectrum | Autism Research News

Dose, scan, repeat: Tracking the neurological effects of oral contraceptives

20 January 2025 at 05:00
We know little about how the brain responds to oral contraceptives, despite their widespread use. I am committed to changing that: I scanned my brain 75 times over the course of a year and plan to make my data openly available.

Before yesterdaySpectrum | Autism Research News

Cracking the code of the extracellular matrix

Despite evidence for a role in plasticity and other crucial functions, many neuroscientists still view these proteins as β€œbrain goop.” The field needs technical advances and a shift in scientific thinking to move beyond this outdated perspective.

David Krakauer reflects on the foundations and future of complexity science

In his book β€œThe Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define itβ€”entropy, evolution, dynamics and computation.

Fleeting sleep interruptions may help brain reset

Brief, seconds-long microarousals during deep sleep β€œride on the wave” of locus coeruleus activity in mice and correlate with periods of waste clearing and memory consolidation, new research suggests.

Most neurons in mouse cortex defy functional categories

7 January 2025 at 05:00
The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysisβ€”and scientists need to take care in naming neurons, the researchers warn.

Eli Sennesh talks about bridging predictive coding and NeuroAI

Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.

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