sergiirv Goto Github PK

ap-typing_neurons

Processing of the typing protocol for neurons recorded in current-clamp mode with a step protocol

ap_predict_lstm

Real Neuron Upcoming Activity Prediction based on LSTM seq2sec model

apctionpotentialthreshold

Processing of AP recorded and saved in .abf file

calm-notebooks

notebooks that are used at calmcode.io

chest-x-ray-prediction

datasharing

The Leek group guide to data sharing

dlaicourse

Notebooks for learning deep learning

electrophysiologysoftware

A list of openly available software tools for (mostly human) electrophysiology.

first

gouy-cchapman-stern

This is an implementation of the Gouy-Chapman-Stern (GChS) model of potentials and ion distribution in nearest proximity and on neuronal membrane surface was done according to formulations provided by S. Genet & J. Burger [A] and M. Shapiro & F. Bezanilla [B]. The model was modified to take into account the temperature dependence of the ion’s hydrated radii according to S. Kuyucak [C]. Also, the model included the thermal dependence of the saline dielectric permittivity which was specifically measured for used in our experiments leech saline with the terahertz time-domain spectroscopy system and included concentration dependent component adapted and modified from A. Stogryn [D].

machine-learning-collection

PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms

neuromatch-2023

This file demonstrates processing of dataset presented by Steinmetz. Neuronal spikes were aggregated of by brain region by time period (before stimulus, before Go-Cue, and during the reaction time) and corresponding sets were analyzed as correlational and covarional sets.

stimfit

A program for viewing and analyzing electrophysiological data

swhlab

Python tools for analysis of whole-cell patch-clamp electrophysiological data

variational-autoencoder

generate MNIST using a Variational Autoencoder