Toggle light / dark theme

Neuromorphic Intelligence Leverages Dynamical Systems Theory To Model Inference And Learning In Sustainable, Adaptable Systems

The pursuit of artificial intelligence increasingly focuses on replicating the efficiency and adaptability of the human brain, and a new approach, termed neuromorphic intelligence, offers a promising path forward. Marcel van Gerven from Radboud University and colleagues demonstrate how brain-inspired systems can achieve significantly greater energy efficiency than conventional digital computers. This research establishes a unifying theoretical framework, rooted in dynamical systems theory, to integrate insights from diverse fields including neuroscience, physics, and artificial intelligence. By harnessing noise as a learning resource and employing differential genetic programming, the team advances the development of truly adaptive and sustainable artificial intelligence, paving the way for emergent intelligence arising directly from physical substrates.


Researchers demonstrate that applying dynamical systems theory, a mathematical framework describing change over time, to artificial intelligence enables the creation of more sustainable and adaptable systems by harnessing noise as a learning tool and allowing intelligence to emerge from the physical properties of the system itself.

New evidence suggests brain’s opioid system helps mediate ketamine’s antidepressant effects

Researchers continue to explore how ketamine brings about fast-acting relief for people with depression. In a new experiment, scientists tested how brain activity changes under different conditions, shedding light on the complex pathways involved in the treatment response.

Hair Holds Hidden Clues to Children’s Mental Health Crisis

A strand of hair might seem like an unlikely window into a child’s psychological wellbeing, but new research from the University of Waterloo suggests that measuring stress hormones in hair samples could help identify which children with chronic illnesses are most at risk for developing serious mental health problems.

The four-year study of 244 Canadian children reveals a concerning pattern: more than two-thirds of kids living with chronic physical conditions showed persistently elevated levels of cortisol, the body’s primary stress hormone, measured through their hair. These children also displayed more symptoms of depression, anxiety, and behavioral problems compared to peers whose stress levels naturally declined over time.

Visualizing Transporter Structure Creates Platform for Antidepressant Drug Design

Researchers at Oregon Health and Sciences University’s Vollum Institute have revealed the molecular structure of the serotonin transporter (SERT), providing new insight into the mechanism of antidepressant action of two widely prescribed selective serotonin reuptake inhibitors (SSRIs) commonly used to treat depression. In their Nature paper, authors Jonathan Coleman, Evan Green, and Eric Gouaux describe their use of X-ray crystallography to capture images of human SERT structures. They collected data at the Beamline 5.0.2 in the Berkeley Center for Structural Biology and used the Phenix software suite to build models and refine the structures. The resulting structures show antidepressants citalopram and paroxetine lock SERT in an outward-open conformation, directly blocking serotonin binding.

/* */