For more than a century, brain imaging has been a story of trade-offs: sharp pictures but slow timing, or fast signals with ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Neurons are famously fragile, yet some injured cells manage to hang on, stabilize, and even reconnect. That quiet resilience ...

A new study suggests that how neurons process energy may determine whether they resist damage or begin to break down.

Abstract: EMG interference pattern analysis is routinely used in the assessment of motor neuron loss. We propose systematizing interference pattern analysis by recording an isometric ramp contraction ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Memories and learning processes are based on changes in the brain's neuronal connections, and as a result, in signal ...

In the first long-term and real-world reflective study of its kind, scientists have uncovered new detrimental health impacts of the artificial sweetener aspartame that echoes those found in shorter ...

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The ...

This paper presents an important advance in genetically encoded voltage imaging of the developing zebrafish spinal cord in vivo, capturing voltage dynamics in neuronal populations, single cells, and ...

Abstract: Neuron tracing, alternately referred to as neuron reconstruction, is the procedure for extracting the digital representation of the three-dimensional neuronal morphology from stacks of ...

Scientists have built an artificial neuron that’s so realistic it fires, learns, and responds to chemical signals just like the real thing – a breakthrough that could transform computing, medicine, ...