"These neurons might be one of a variety mediating emergent attentional behavior," Eckstein said. Interestingly, one neuron type present in CNN, which combines opponency for the cue but excitatory ...

For more than a decade, neuroscientists had recordings from monkey brains learning to sort visual patterns. They had analyzed the data, published landmark papers, and moved on. Then a computer model ...

A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

Verses demonstrates progress in leveraging AI models using Bayesian networks and active inference that are significantly smaller, more energy efficient, and honest than Deep Neural Network approaches.

Cedars-Sinai investigators worked with a multi-institutional team to develop a new artificial intelligence framework that can accurately, quickly and efficiently create virtual models of brain neurons ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network. "Everyone, even middle schoolers, needs to know a little about ...

Shifting focus on a visual scene without moving our eyes - think driving, or reading a room for the reaction to your joke - is a behavior known as covert attention. We do it all the time, but little ...

AI adoption has accelerated at a pace few technology shifts can match. In just a short time, AI model capability has improved sharply, costs have come down and entirely new product experiences have ...

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert attention. We do it all the time, but little ...