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Ultimate Computing: Biomolecular Consciousness and NanoTechnology

The possibility of direct interfacing between biological and technological information devices could result in a merger of mind and machine — Ultimate Computing. This book, a thorough consideration of this idea, involves a number of disciplines, including biochemistry, cognitive science, computer science, engineering, mathematics, microbiology, molecular biology, pharmacology, philosophy, physics, physiology, and psychology.

Ion-tunable antiambipolarity in mixed ion–electron conducting polymers enables biorealistic organic electrochemical neurons

Silicon-based complementary metal-oxide semiconductors or negative differential resistance device circuits can emulate neural features, yet are complicated to fabricate and not biocompatible. Here, the authors report an ion-modulated antiambipolarity in mixed ion–electron conducting polymers demonstrating capability of sensing, spiking, emulating the most critical biological neural features, and stimulating biological nerves in vivo.

Brain Waves Reveal Layered Activity Patterns Across Species

Summary: Researchers discovered that different layers of the brain’s cortex exhibit distinct electrical activity patterns, with rapid gamma waves in the upper layers and slower alpha and beta waves in the deeper layers. This pattern is consistent across various brain regions and species, including humans, suggesting a fundamental role in cortical function.

The research indicates that imbalances in these oscillations might be linked to neurological disorders like ADHD. This study not only deepens our understanding of brain function but also opens new possibilities for diagnosing and treating neuropsychiatric disorders.

A breakthrough way to train neuromorphic chips

Using a biosensor to detect cystic fibrosis as the test case, TU/e researchers have devised an innovative way to train neuromorphic chips as presented in a new paper in Nature Electronics.

Neuromorphic computers—which are based on the structure of the human brain—could revolutionize our future health care devices. However, their widespread use is hindered by the need to train neuromorphic computers using external training software, which can be time-consuming and energy inefficient.

Researchers from Eindhoven University of Technology and Northwestern University in the U.S. have developed a new neuromorphic biosensor capable of on-chip learning that doesn’t need external training. As a proof-of-concept, the researchers used the biosensor to diagnose based on sweat samples.

Toxic RNAs: The Hidden Cause of Neuron Death in Alzheimer’s Uncovered

A new Northwestern Medicine study shows that RNA interference may play a key role in Alzheimer’s. For the first time, scientists have identified short strands of toxic RNAs that contribute to brain cell death and DNA damage in Alzheimer’s and aged brains. Short strands of protective RNAs are decreased during aging, the scientists report, which may allow Alzheimer’s to develop.

The study also found that older individuals with a superior memory capacity (known as SuperAgers) have higher amounts of protective short RNA strands in their brain cells. SuperAgers are individuals aged 80 and older with a memory capacity of individuals 20 to 30 years younger.

“Nobody has ever connected the activities of RNAs to Alzheimer’s,” said corresponding study author Marcus Peter, the Tom D. Spies Professor of Cancer Metabolism at Northwestern University Feinberg School of Medicine. “We found that in aging brain cells, the balance between toxic and protective sRNAs shifts toward toxic ones.”

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