CPGs. Their model shows that cell-type-specific connectivity and a dominant inhibitory drive could underlie rhythm generation. Excitatory input could act to enhance the frequency range of these ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Ukraine’s 1 June attack on multiple Russian military bases destroyed or damaged as many as 41 Russian aircraft, including ...

TI's TMS320F28P550SJ MCU with an integrated neural processing unit is designed to run CNN models to help reduce latency and ...

Abstract: We present a deep neural network-based framework for designing multiband microstrip antennas given a desired impedance matching spectrum. The approach enables a design methodology that ...

Muscimol, a GABA-A (GABAA) receptor agonist, enhances GABA's inhibitory effect on neuronal activity by activating GABAA ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are neural nets? How do they work? In this article, we'll give an overview of the ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting states of matter, such as fractional quantum Hall liquids. These are exotic ...

A theoretical and experimental investigation of the dynamics of this neural network was conducted using general analytical tools, such as phase diagrams, Lyapunov exponents, bifurcation diagrams, and ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. "It's a network effect," said UC Santa Barbara mechanical engineering professor Francesco ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. “It’s a network effect,” said UC Santa Barbara mechanical engineering professor Francesco ...