To extract the activity of every single firing unit influencing that electrode from the MUA, we need a process called “spike sorting” which includes AP detection and classification. Because of the inherent nature of the extracellular recording, each electrode records the neuronal activity from a region, where generally tens of neurons are present thus providing the acquisition of a Multi Unit Activity (MUA). To overcome these experimental difficulties, the use of MicroElectrode Array biochips (MEAs) guarantees the possibility to record extracellular activity of neuronal preparations from tens of electrodes at the same time. These voltage changes have been traditionally recorded with conventional electrodes (e.g., glass pipettes), therefore the number of neurons simultaneously recorded and the time needed for electrodes placement are well known limits. Neuronal cells communicate by means of electric pulses, called Action Potentials (APs) or, briefly, spikes. Finally we proposed a spike detection hardware design on FPGA, whose feasibility was verified in terms of CLBs number, memory occupation and temporal requirements once realized, it will be able to execute on-line detection and real time waveform analysis, reducing data storage problems. Moreover, we developed a PCA-hierarchical classifier, evaluated on simulated and real signal. We developed an algorithm for amplitude-threshold spikes detection, whose performances were verified with (a) statistical analysis on both simulated and real signal and (b) Big O Notation.
![piazza pca column with no deviation piazza pca column with no deviation](https://cdn.amegroups.cn/journals/amepc/files/journals/16/articles/16014/public/16014-PB10-R1.png)
Therefore, on-line and real time analysis, optimization of memory use and data transmission rate improvement become necessary.
![piazza pca column with no deviation piazza pca column with no deviation](http://strengejacke.de/sjPlot/reference/sjp.pca-4.png)
To study electrophysiological activity and long term plasticity effects, long period recording and spike sorter methods are needed. Neurons cultured in vitro on MicroElectrode Array (MEA) devices connect to each other, forming a network.