Fear is often thought of as a negative emotion but is actually a natural protective response to perceived threats or danger. It helps us survive. When we experience a situation that causes fear, it ...

This important study uses a feedback-driven recurrent neural network framework to explore the dynamics underlying learning of BCI decoder perturbations. With convincing evidence, the authors ...

In resistor networks, physics computes voltages at selected output nodes automatically and rapidly by exploiting Kirchhoff’s laws when voltages are applied at input nodes. Such networks have been ...

This manuscript proposes a valuable idea on how cortical networks may learn a helpful representation of sensory stimuli. The model implementing this idea is tested in multiple experimental paradigms.

This study proposes a fault detection method for high-voltage circuit breakers based on multi-source information and motion analysis. First, a 1-dimensional recurrent neural network (1DRNN) is used to ...

Astrocyte-mediated synapse elimination was significantly increased after motor learning. This learning-associated increase was not observed in astrocyte-specific Megf10 knockout mice. In addition, ...

What is Code-Based Circuit Design? Circuit-synth brings software engineering practices to hardware design by letting you define circuits in Python code instead of ...

Will Arnett and Laura Dern add emotional heft to Bradley Cooper’s intimate comedy about a separated spouse who finds solace in stand-up. By Jeannette Catsoulis When you purchase a ticket for an ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Summary: A new study reveals how brain circuits between the entorhinal cortex and hippocampus stabilize memories during learning. Researchers found that synchronized signals between excitatory and ...