Common Spike Detection Methods 1. Precision Timing Spike Detection (PT) : PT employs a differential threshold, pulse lifetime period, and refractory period to detect spikes. It searches for a peak within the set PLP after a peak of opposite polarity is found. Provided...
Super-Paramagnetic Clustering Super-paramagnetic clustering (SPC) is a Monte Carlo iteration of the Potts model, a generalization of the Ising Model. SPC clustering is performed by evaluating simulated interactions (states) between individual data points and their...
Wavelet Transformation The wavelet transformation (WT) is a method of signal representation that enables simultaneous analysis in the time and frequency domains and aids the analysis of nonstationary signals such as spike trains by inducing sparsity. The wavelet...
Spiking Model In Vivo Neurophysiology The animals employed for neurophysiological recording were adult, male Long-Evans rats acquired at 4 months of age. The animal protocols used were approved by the University of Kansas Medical Center Institutional Animal Care and...
Noise in MEA recordings In addition to inherent noise coming from the source, i.e. the neuron, as previously described, there are several other sources of additive noise in an extracellular recording coming from the biological interface, the electrode interface and...
Spike Waveforms In theory, an action potential waveform or template could be unequivocally and unambiguously linked to a single neuron. However, in practice this is a difficult problem because the recorded signal is non-stationary due to several time varying...
Extracellular Recordings In Neuron Most extracellular recording experiments follow the same general process to collect multiunit activity and identify individual neurons in the environment, albeit employing different methodologies for each step in the process, as...
Extracellular Activity In Neuron Neurons are composed of three components: soma, axon, and dendrites. As in any cell, the soma or cell body is responsible for metabolic function, but in neurons it is further specialized to maintain high levels of biosynthetic...
Neuron Model The brain is a network of billions of neurons , which makes the brain orders of magnitude more dense than state-of-the-art silicon-based VLSI electronic systems and thus challenging to map and study with conventional methods . Furthermore, it is estimated...
