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Blood cleaning simulator
Blood cleaning simulator













blood cleaning simulator

This lab uses a graphical web-based Neuron simulator and models a section of excitable neuronal membrane using the Hodgkin-Huxley equations.

blood cleaning simulator blood cleaning simulator

Primarily, it is connected with neurobiology, psychology, neurology, clinical neurophysiology, electrophysiology, biophysical neurophysiology, ethology, neuroanatomy, cognitive science and other brain sciences.īrain Slice Preparation || Simple Neuron Model - the HH neuron || Patch Clamp Technique || Current Clamp Technique || Voltage Clamp Technique || Study of Synaptic Transmission (Remote trigger) || Measuring Field Potentials Using MEA chips || Understanding the Passive Properties of a Simple Neuron (Remote trigger) || Effects of Ion Channels in Membrane Biophysics (Remote trigger) || Effect of Noise on Spiking Neurons (Remote trigger) Neurophysiology is the study of nervous system function. Writing and Reading Sequence Data in R || Reading FASTA using SequinR || Pairwise sequence alignment of Protein or DNA sequences || Querying NCBI database in R || UniProt Protein Sequence Retrieval in R || Guanine-Cytosine Content Analysis and Basics of DNA Sequence Statistics || Calculating Genetic Distances from Protein Sequences || Computing Scoring Matrices for Amino acids and Long pairwise Alignment in R || Retrieving a list of sequences from UniProt || DNA Sequence Analysis and Determining DNA Open Reading Frames || Gene finding: Finding Start and Stop codons using R || Differential Expression Analyses of RNA-seq Specifically, this lab will help analyse biological sequence data using simple R code snippets. Educating this will allow users to learn how to use R as an open source language for learning bioinformatics data processing. This lab is a connection of bioinformatics experiments performed using R programming. The lab is an education platform for engineers and biologists without major requirements for learning methods in signal processing.įiltering and removal of artifacts in Biosignals || Point processes and models || Analysis of Biosignals activity and artifacts || Power spectrum calculations using different windows || Study the changes in the PSDs by varying window width || Temporal structure in EEG || Motor unit firing pattern || Modeling network activity as in biological circuits || Modeling synaptic network connectivity || Reconstructing Averaged Population Response || Biosignal Import and Channel Analysis || Time-frequency analysis of Biosignalsīioinformatics and Data Science in Biotechnology This lab focuses on using, analysing and processing EEG data and provides a platform for EEG data analysis and visualization, to understand the correlations of neural activity through electroencephalography data.















Blood cleaning simulator