Spiking neural network (SNN) can process discrete spikes and offers a high degree of real-time performance and excellent energy efficiency ratio. However, most current neuromorphic hardware platforms ...

Uncommon Courses is an occasional series from The Conversation U.S. highlighting unconventional approaches to teaching.

Their model predicts parameters of synaptic function that could not be tested experimentally in the past, opening new avenues ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Spiking neural networks (SNNs) have shown advantages in computation and energy efficiency over traditional artificial neural networks (ANNs) thanks to their event-driven representations. SNNs also ...

The human brain is comprised of two main types of cells, known as neurons and glia. The first are responsible for ...

These findings highlight the significance of rearing behavior and behavioral lateralization as potential behavioral markers ...