#neuroscience

NeuroAI is a Python suite developed by Facebook Research for neuroscience research across all modalities. It provides tools and frameworks to analyze and model neural data from various sources and measurement techniques.

Research explores how microorganisms like bacteria and protozoa demonstrate learning and memory capabilities without nervous systems. These organisms exhibit behaviors such as habituation, associative learning, and decision-making through molecular and cellular mechanisms. The findings challenge traditional views of cognition as exclusive to organisms with brains.

Researchers at UC San Diego have identified specific brain circuits involved in placebo pain relief. By manipulating these circuits in mice, they were able to enhance or block the placebo effect. The findings could lead to new approaches for treating chronic pain.

Researchers have identified a specific serotonergic circuit in the brain that plays a role in generating tinnitus behavior. The study reveals how this discrete neural pathway contributes to the perception of phantom sounds associated with tinnitus.

A study found that visual engagement modulates cortical criticality during auditory target detection in noisy soundscapes. The research shows that visual attention influences how the brain processes auditory information in complex acoustic environments.

A large US study found that adolescent cannabis use is associated with slower cognitive development, particularly in areas like memory and attention. The research suggests these effects may persist even after discontinuing use.

Researchers have developed a model using Bitcoin microstructure data to predict epileptic seizures. The approach applies financial market analysis techniques to neurological data, showing potential for seizure forecasting. This interdisciplinary method could improve epilepsy management through early warning systems.

This 2021 article reviews computational models that explain how the brain processes internal bodily signals (interoception) to regulate physiological states. The models integrate predictive coding, active inference, and reinforcement learning frameworks to understand homeostasis and allostasis.

The paper argues that determining whether AI systems are conscious requires validated models of human consciousness. It suggests that without such models, claims about AI consciousness remain speculative. The authors propose a framework for assessing AI consciousness based on established neuroscientific theories.

The article explores how cannabis affects the brain through its interaction with the endocannabinoid system, particularly focusing on THC's impact on neurotransmitters and brain regions involved in memory, emotion, and perception.

A researcher seeks connections with medical professionals and experts in EEG, neuroscience, and cognitive science to study attention and engagement with digital content. They are looking for advice on appropriate EEG setups, what can be reliably measured, and potential introductions to relevant labs or research groups.

The article discusses how labels create persistent neural pathways that continue to influence perception even after the original triggers are gone. It explores the neurological mechanisms behind how categorization affects what we can see and process.

The article discusses how the brain's neural circuits can be conceptualized as having levers or control points that influence behavior and cognition. It explores the idea that understanding these mechanisms could lead to new approaches for treating neurological conditions and enhancing cognitive function.

Research shows that fatherhood triggers significant biological changes in men, including brain rewiring and hormonal shifts. These adaptations prepare men for caregiving roles and enhance their ability to respond to children's needs. The changes are similar to those experienced by mothers, though they occur through different pathways.

Adam Marblestone argues that the brain's key advantage over AI lies in its reward functions rather than its architectural design. He suggests current AI systems are missing this fundamental aspect of biological intelligence.

Optical illusions may create the perception of colors outside the normal human color gamut without requiring physical stimulation beyond visible light. The article explores whether visual phenomena can produce experiences of colors that don't exist in the standard color spectrum.