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Name: SERGII ROMANENKO
Type: User
Company: Bogomoletz Institute of Physiology
Bio: Academic Staff (Physics and Biphysics)
Location: Kyiv
Blog: https://scholar.google.com/citations?user=txkwSYwAAAAJ&hl=en
Name: SERGII ROMANENKO
Type: User
Company: Bogomoletz Institute of Physiology
Bio: Academic Staff (Physics and Biphysics)
Location: Kyiv
Blog: https://scholar.google.com/citations?user=txkwSYwAAAAJ&hl=en
Processing of the typing protocol for neurons recorded in current-clamp mode with a step protocol
Real Neuron Upcoming Activity Prediction based on LSTM seq2sec model
Processing of AP recorded and saved in .abf file
notebooks that are used at calmcode.io
The Leek group guide to data sharing
Notebooks for learning deep learning
A list of openly available software tools for (mostly human) electrophysiology.
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 ionβs 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].
PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms
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.
A program for viewing and analyzing electrophysiological data
Python tools for analysis of whole-cell patch-clamp electrophysiological data
generate MNIST using a Variational Autoencoder
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.