#Innovation

A recent feature in a Denver newspaper spotlights a health-friendly breakfast option that fits vegan and gluten-free lifestyles. The writer shares her journey after a 2022 celiac disease diagnosis and her discovery of a specially crafted vegan, gluten-free breakfast sandwich. The piece highlights a Denver restaurant, Vital Root, known for vegan-friendly and gluten-conscious cuisine and its inventive offerings.

For Thai readers facing similar dietary challenges, the story carries broader meaning. It’s about more than a meal that fits restricted diets; it’s about finding joy and normalcy in daily eating. The sandwich includes lemongrass-marinated tofu, vegan cheese, seaweed “bacon,” and a gluten-free bun, illustrating how taste and health can align while honoring personal and cultural food preferences.

In an innovative leap forward for artificial intelligence, researchers from the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization have unveiled “infomorphic neurons” that can learn independently by emulating the complex learning processes of the human brain. Published in the Proceedings of the National Academy of Sciences, this research presents a significant advancement in creating artificial neurons that more closely mimic their biological counterparts. The capability of these neurons to self-organize and independently derive necessary information marks a substantial departure from conventional artificial neural networks, which largely rely on external supervision to process input signals.

A collaboration between the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization has unveiled “infomorphic neurons” that learn autonomously by mimicking brain-like processes. Published in the Proceedings of the National Academy of Sciences, this work shifts away from traditional supervised neural networks toward self-organizing artificial units. The neurons can determine which inputs matter for learning, reducing the need for constant external guidance.

The human brain operates through decentralized, energy-efficient networks. Biological neurons learn by responding to neighboring cells rather than following rigid, pre-set pathways. Infomorphic neurons imitate this adaptability, selecting learning goals and rules with minimal external control. With self-organization and specialization, these networks promise more robust problem solving in real-world tasks.

In a groundbreaking study, scientists at Columbia University and the University of Bordeaux have produced a detailed atlas of mitochondria, the energy powerhouses, across various regions of the human brain. Utilizing a novel method involving slicing a frozen human brain into 703 cubes, each the size of a sugar cube, researchers have mapped how these minuscule engines are distributed and function. This venture, known as MitoBrainMap, is poised to open new avenues in understanding and potentially treating conditions such as depression and Alzheimer’s disease, two major health concerns worldwide, including in Thailand.

A groundbreaking atlas of brain mitochondria is offering new ways to understand and treat neurological and psychiatric conditions. Researchers from leading institutions mapped how energy generators inside brain cells are distributed, using a method that slices a frozen human brain into 703 cube-sized samples. The project, named MitoBrainMap, could reshape diagnosis and therapy for conditions such as depression and Alzheimer’s disease, with meaningful implications for Thai health as well.

Even though the brain accounts for about 2% of body weight, it consumes roughly 20% of daily energy. This high demand makes it crucial to understand how mitochondria are organized across brain regions. Each cube was analyzed for mitochondrial density and energy efficiency, enabling the team to create a computational model of the brain’s energy landscape. The map reveals a diverse, uneven energy distribution that aligns with different cognitive roles.