Simulación de señales neuronales.
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Updated
Apr 21, 2021 - Jupyter Notebook
Simulación de señales neuronales.
This repository contains the model and simulation code for the paper: Toman, M. et al. The influence of astrocytic leaflet motility on ionic signalling and homeostasis at active synapses. Scientific Reports 13, 3050 (2023).
Tutorial of neuron-astrocyte interactions model given at CNS 2022 in Melbourne.
PyLEMS extension for code traversal
Implenemtation of CN models such as single neurons, populations and learning process
A library of current channels for use in Neuron-based models
Assignments of Bilkent's Computational Neuroscience course. Includes a lot about Machine Learning and Statistics. (2018-2019)
Exploratory project to interpret electrophysiological data from the Steinmetz et al. 2019 dataset. A part of the Neuromatch Academy Summer School.
Reinforcement learning in Norse
BNDF On-Premise local cluster
Investigating the difference in robustness between decoded brain (fMRI) representations versus those learned by CNNs using methods from computational neuroscience and deep learning.
Predict the popularity score of songs based on EEG signals
Data for the Quantitative Single-Neuron Modeling Competition (2007).
CUHK MPhil Comp. Neuro. Project, 2021-2023
LIF implementation from scratch.
Sensing the functional connectivity of the brain
Use Chaotic time intervals as input to Hodgkin-Huxley neuron model in order to simulate real-world random stimuli.
An implementation of the Neuron By Neuron training algorithm in Python. The only true successful DEEP learning algorithm available today.
Reverse Engineering the Gate Composition given the Voltage Trace of a Gate
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