10253889 Archives — MATLAB Number ONE

Common Spike Detection Methods

global MATLAB — Tue, 28 Nov 2017 14:17:58 +0000

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 that these two exceed a differential threshold, the timestamp is stored as […]

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Super-Paramagnetic Clustering

global MATLAB — Tue, 28 Nov 2017 14:09:57 +0000

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 respective K-nearest neighbors. In the context of spike sorting, this method was originally proposed by, where it was demonstrated that […]

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Wavelet Transformation

global MATLAB — Tue, 28 Nov 2017 13:49:03 +0000

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 transform is defined as the convolution of a signal and a wavelet basis function, where are translation […]

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Spiking Model In Vivo Neurophysiology

global MATLAB — Tue, 28 Nov 2017 13:33:07 +0000

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 Use Committee, and the experiments were performed in compliance with the Guide for the Care and […]

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Noise in MEA recordings

global MATLAB — Tue, 28 Nov 2017 13:22:53 +0000

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 the device employed for recording. The biological noise contains unwanted electrical signatures including action potentials, […]

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Spike Waveforms

global MATLAB — Mon, 27 Nov 2017 18:28:22 +0000

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 characteristics of its corresponding source, as well as noise from the recording experimental setup. The recorded […]

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Extracellular Recordings In Neuron

global MATLAB — Mon, 27 Nov 2017 10:48:55 +0000

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 depicted in Figure 2.1. Raw signals collected by electrodes are recorded and amplified by an electrophysiological recording system. The incoming […]

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Extracellular Activity In Neuron

global MATLAB — Mon, 27 Nov 2017 10:34:46 +0000

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 activity. Inputs are received and integrated by the dendritic arbor (and to a small […]

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Methods to facilitate the study of precise temporal coding in biological and artificial networks

global MATLAB — Mon, 27 Nov 2017 10:24:27 +0000

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 that the human brain can process, analyze, and learn with a power consumption […]

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