Cortical Signal Propagation: Balance, Amplify, Transmit

Signal Propagation in Cortical Networks: A Digital Signal Processing Approach

This work reports a digital signal processing approach to representing and modeling transmission and combination of signals in cortical networks. The signal dynamics is modeled in terms of diffusion, which allows the information processing undergone between any pair of nodes to be fully characterized in terms of a finite impulse response (FIR) filter. Diffusion without and with time decay are i...

Amplify, Amplify: Shotgun Proteomics Boosts the Signal for Biomarker Discovery

Signal Representations for Transmit - ReceiveAntenna Arrays

We propose a signal representation for transmit-receive uniform linear arrays operating over arbitrary time-varying spatial multipath channels encountered in mobile communications. The signal representation decomposes the multipath channel into a nite number of virtual channels that correspond to certain delays, Doppler shifts, angles that are xed a priori and are independent of the physical ch...

Finding Balance in Cortical Networks

No matter what you’re doing at any given moment, from walking to talking or even sleeping, your brain is doing its own thing. Networks of neurons constantly and often spontaneously generate rhythmic electrical activity in the cortex, the brain’s outermost layer and the seat of judgment, decision making, and other higher order functions. These cortical networks contain pyramidal cells that can e...

Transmit beamforming aided amplify-and-forward MIMO full-duplex relaying with limited dynamic range

In this paper we address the design of a relay-assisted communication system where two half-duplex (HD) users communicate with each other via the help of an amplify-and-forward (AF) and full-duplex (FD) relay node. We design joint user beamforming and relay transmit strategies to deal with the self-interference signal at the FD relay node. Our approach is to maximize the system sum rate via lin...