Neuroscience, neural computation, and artificial intelligence constitute an integrative research area that investigates the principles of information processing in nervous systems and applies them to computational models and algorithms. It encompasses the study of neural coding, synaptic plasticity, network dynamics, and cognitive architectures, with the dual goals of explaining brain function and developing biologically inspired machine learning methods. Neural computation formalizes neuronal and circuit-level processes using mathematical models and simulations, while artificial intelligence leverages these insights to design architectures such as neural networks and reinforcement learning systems, enabling tasks like perception, decision-making, and control in both biological and artificial agents.
It's a cold winter afternoon, and you've just brought the laundry in. Suddenly, you pause. Are these clothes a bit damp?
Molecular & Computational biology
4 hours ago
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A new AI framework, known as SHIC-XE, has been developed to detect signs of pain in horses from video analysis while providing stable, anatomically consistent explanations for its decisions. The framework was developed by ...
Biotechnology
21 hours ago
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Mice use almost completely distinct sets of neurons for their two different types of vocalizations—the squeaks they produce when in distress or fighting and the whistle-like ultrasonic vocalizations they use when communicating ...
Plants & Animals
Aug 18, 2026
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Songbirds, birds belonging to the Passeriformes order, are best known for their ability to produce complex musical sounds. Yet some songbird species also have another remarkable skill: They can easily remove the tough layer ...
As global temperatures continue to rise, scientists are racing to understand why heat so profoundly threatens fertility across the animal kingdom. A new study from the Hebrew University of Jerusalem and collaborators has ...
Cell & Microbiology
Aug 3, 2026
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Entering and manipulating dreams may sound like science fiction, but for Freeman Hrabowski Scholar Walter Gonzalez, these scenarios aren't confined to the big screen.
Plants & Animals
Jul 30, 2026
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Neural networks have transformed how machines find patterns in data, from recognizing faces in photos to predicting the shapes of proteins. So far, all of this progress has been made on ordinary classical computers, but with ...
In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network quantum Monte Carlo methods have attracted attention as highly accurate simulation techniques. However, ...
Quantum Physics
Jul 22, 2026
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Just as humans exhibit right- or left-handedness, moths also have a preferred side on which they place their proboscis when inspecting a flower for nectar. This observation was made by Konstanz-based biologists in their latest ...
Plants & Animals
Jul 22, 2026
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Some researchers are leaning into biology for inspiration in computing. In particular, neuromorphic computing offers a brain-inspired approach to hardware that replaces traditional binary processing with systems that function ...
