Neuroscientists seek efficient solutions for deciphering the sophisticated unknowns of the
brain. Effective development of complicated brain-related tools is the focal point of research …

In this paper a new compression technique based on the discrete Tchebichef transform is
presented. To comply with strict on-implant hardware implementation requirements, such as …

Implantable high-density multichannel neural recording microsystems provide simultaneous
recording of brain activities. Wireless transmission of the entire recorded data causes high …

The paper presents a prototype of a perceptron network working in the current mode, with a
digital interface for applications in analog-to-digital systems. The presented implementation …

A time-domain analog spatial compressed sensing encoder for neural recording
applications is proposed. Owing to the advantage of MEMS technologies, the number of …

This paper proposes a new approximate variant of the Tchebycheff transform for the
compression of intra-cortically-recorded neural signals on brain-implantable microsystems …

This paper presents a theoretical study and the resulting architecture of an analogue‐based
standard deviation (SD) estimator, typically used in biomedical spike detectors to assess the …

A new spike compression approach for implantable intra-cortical neural recording
microsystems is proposed. This approach is based on random sampling and Iterative …

This paper reports a novel spike compression approach for implantable intra-cortical neural
recording microsystems based on Split Vector Quantization (SVQ). The proposed method …

This chapter begins with the introduction of intracortical neural recording microsystems and
focuses on the neural signal processing approaches that are used in such systems in order …