Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 33

As humans and other animals navigate their surroundings and experience different things, their brain creates so-called cognitive maps, which are internal representations of environments or tasks. These mental maps are eventually generalized into schemas, frameworks that organize information acquired through experience and can later guide decision-making.

Various past neuroscience and psychology studies have tried to better understand the neural processes and brain regions that support the formation of these internal representations. Insight into these mechanisms could, in turn, shed light on the underpinnings of learning and decision-making.

Two brain regions that have been found to play a role in forming internal representations of experiences are the (OFC) and the hippocampus (HC). Among other functions, the OFC supports reward-based learning and decision-making. At the same time, the HC contributes to spatial navigation and the formation and retrieval of memories.

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In the double-blind study, 29 patients with various mood and anxiety disorders received MRI-guided focused ultrasound to the left amygdala.

The results showed both immediate reductions in amygdala activity, and after three weeks of daily sessions, patients experienced clinically significant improvements in negative affect and symptoms of depression, anxiety and PTSD.

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Multimodal results (iEEG, fMRI and MEG) of predictions from integrated information theory and global neuronal workspace theory align with some predictions of both theories on visual consciousness, but also critically challenge key tenets of both theories.

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Everything related to the human brain and neuroscience has always been an area in which specialists have said that there is much to discover, learn and investigate. In fact, the generation of memory in human beings, memories, and the different diseases that are clustered around the CPU of the body have always been constantly evolving.

Now, Dr. Tomas Ryan of Trinity College Dublin, a neuroscientist who has explored the issues of brain learning by tracking the cells involved in this process, has found new findings suggesting that memory formation depends on the connections between groups of engram cells, neurons thought to capture and store distinct experiences.

In this new research, the experts indicate that each experience leaves a pattern of neuronal activation that can be activated later, which would mean the creation of a memory. To reach this conclusion, the neuroscientists tracked two sets of engram cells, each linked to a different memory.

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An accurate diagnosis of ADHD is crucial in bringing clarity and the right support to people who need it, but current diagnosis methods are time-consuming and inconsistent. A new study suggests AI could help.

Researchers in South Korea trained machine learning models to connect characteristics in photos of the fundus at the back of the eye to a professional diagnosis of ADHD (attention deficit hyperactivity disorder).

Of four machine learning models tested in the study, the best achieved a 96.9 percent score for predicting ADHD accurately, based on image analysis alone.

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A quantum computer can solve optimization problems faster than classical supercomputers, a process known as “quantum advantage” and demonstrated by a USC researcher in a paper recently published in Physical Review Letters.

The study shows how , a specialized form of quantum computing, outperforms the best current classical algorithms when searching for near-optimal solutions to complex problems.

“The way quantum annealing works is by finding low-energy states in , which correspond to optimal or near-optimal solutions to the problems being solved,” said Daniel Lidar, corresponding author of the study and professor of electrical and computer engineering, chemistry, and physics and astronomy at the USC Viterbi School of Engineering and the USC Dornsife College of Letters, Arts and Sciences.

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