https://ebrains.eu/service/nest-desktop


NEST Desktop is a web-based application which provides a graphical user interface for NEST Simulator. With this easy-to-use tool, users can interactively construct neuronal networks and explore network dynamics.

NetPyNE
NetPyNE (Networks using Python and NEURON) is a Python package to facilitate the development, simulation, parallelization, analysis, and optimization of biological neuronal networks using the NEURON simulator.

Although NEURON already enables multiscale simulations ranging from the molecular to the network level, using NEURON for network simulations requires substantial programming, and often requires parallel simulations. NetPyNE greatly facilitates the development and parallel simulation of biological neuronal networks in NEURON for students and experimentalists. NetPyNE is also intended for experienced modelers, providing powerful features to incorporate complex anatomical and physiological data into models.

A basic intro to stats for neuroscientists and all course materials are open here
Jupyter notebook slides & RISE with code to play around with to build an intuition for stats...

#neuroscience
#course

Two open #PhD positions at EPFL:
❗️#PhD student position in computational neuroscience and modelling of salamander locomotor circuits
❗️#PhD student position in biorobotics and fluid dynamics

https://www.epfl.ch/labs/biorob/openings/

Andrew NG’s course on Coursera
https://colah.github.io/
https://distill.pub/

We have this awesome function called sublots_mosaic where you can pass us a layout id'ed on name
axd = plt.subplot_mosaic(
"""
ABD
CCD
""")

Link

#matplotlib
#python