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Biology-inspired brain model matches animal learning and reveals overlooked neuron activity
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
Color patterns seen in fish and other animals evolved to serve various purposes. Lagunatic Photo/iStock via Getty Images Plus A thought experiment can help visualize the challenge of achieving ...
In our newly published research in Science Advances, my student Ben Alessio and I propose a potential mechanism explaining how these distinctive patterns form—that could potentially be applied to ...
Ankur Gupta receives funding from NSF (CBET - 2238412) and ACS Petroleum Research Fund (65836 - DNI9). A thought experiment can help visualize the challenge of achieving distinctive color patterns.
More than 70 years ago, mathematician Alan Turing proposed a mechanism that explained how patterns could emerge from bland uniformity. Scientists are still using his model—and adding new twists—to ...
Google DeepMind's DolphinGemma is analyzing dolphin sounds to understand their communication patterns.US Navy photo by Fireman Rheannon Ayalacortez/Released Researchers are using large language models ...
This article was originally featured on The Conversation. Patterns on animal skin, such as zebra stripes and poison frog color patches, serve various biological functions, including temperature ...
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