Deep neural networks (DNN) are computationally heavy models with a huge number of functional and complex connections 1,2. Data flows in DNNs are translated into massive physical instructions that run ...

Increasing the proximity of microelectrode arrays (MEA) to targeted neural tissues can establish efficient neural interfaces for both recording and stimulation applications. This has been achieved by ...