Extracellular recording, the technique of inserting an electrode into the extracellular tissue of
the brain to record the activity of individual neurons (“single-unit activity”), is a common …

Abstract Brain-chip-interfaces (BCHIs) are hybrid entities where chips and nerve cells
establish a close physical interaction allowing the transfer of information in one or both …

Brain-machine interfaces require real-time, wireless signal acquisition systems. However,
wireless transmission of raw data is impossible for high-channel-count systems given the …

Advances in neuronal probe technology to record brain activity have posed a significant
challenge in performing necessary processing and analysis of the recorded data. To be able …

Analyzing the massive amounts of neural data collected using microelectrodes to extract
biologically relevant information is a major challenge. Many scientific findings rest on the …

Correlation among neocortical neurons is thought to play an indispensable role in mediating
sensory processing of external stimuli. The role of temporal precision in this correlation has …

This paper presents a comprehensive neuronal signal analysis and processing
tool,SigMate', developed in Matlab, incorporating the available standard tools and our in …

Spike detection and sorting is a fundamental step in the analysis of extracellular neural
recording. Here, we propose a combined spike detection-feature extraction algorithm that …

Graphical models are powerful tools to infer statistical relationships between simultaneously
observed random variables. Here, we used Dynamic Bayesian Networks (DBN) to infer …

Processing the massive amounts of neural data to extract biologically relevant information
from the activity of large ensembles of neurons in noisy recordings is a major challenge …