The researchers showed that the larval zebrafish rapidly learned to recognize non-predator and predator ... a staggered emergence of different associative learning capabilities and that some ...

This process is known as higher-order conditioning and can be measured using sensory preconditioning tasks in rodents. This behavioral paradigm requires the repeated and simultaneous presentation of ...

Crucially, scaling SNNs to large networks and processing large-scale real-world datasets have been challenging, especially when compared to their non-spiking deep learning ... unsupervised ...

As absolute novelty may only be experienced by younger children, we can conclude that the current literature studying adult humans and non-human animals is ... do not lead to enhanced learning.

Lyndsay: And then we bring that work back into the classroom. So we'll bring those practical examples of how we've worked with the U.N., how we work with non-governmental organisations on developing ...

Get Instant Summarized Text (Gist) Primary school children exhibit the highest performance in associative learning compared to other age groups. This ability, crucial for adapting to the ...

Associative Learning: Primary School Children Outperform All Other Age Groups Feb. 27, 2025 — The ability to make the connection between an event and its consequences -- experts use the term ...

By The Learning Network Hungry for in-person interaction, younger people are joining old-fashioned clubs for games. Would you want to? By Jeremy Engle We invite students to write public-facing ...

Learn more about eLife assessments Sleep disturbances are associated with poor long-term memory (LTM) formation, yet the underlying cell types and neural circuits involved have not been fully decoded.

Learn how the Zettelkasten method transforms note-taking into a dynamic, interconnected system for deeper understanding and ...

To address the challenge of mutual learning, the joint research team found that the non-stationary characteristics of ctroencephalogram (EEG) signals not only are derived from the background EEG ...