Forwarded from Scientific Programming (Ziaee (he/him))
This website provides one of the most lightweight introductions to #machine_learning I have seen.
If I were to start learning #ML all over again, the structure and concepts covered in this resource would provide a good start.
got from Omarsar0
If I were to start learning #ML all over again, the structure and concepts covered in this resource would provide a good start.
got from Omarsar0
NEST Desktop
An interactive desktop application for Nest Simulator
Link:
https://nest-desktop.github.io
Follow: @theTuringMachine
An interactive desktop application for Nest Simulator
Link:
https://nest-desktop.github.io
Follow: @theTuringMachine
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.
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.
EBRAINS
NEST Desktop
Construct neuronal networks and explore network dynamics with the NEST Simulator GUI
Forwarded from Scientific Programming (Ziaee (he/him))
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.
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.
Forwarded from Scientific Programming (Ziaee (he/him))
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
Jupyter notebook slides & RISE with code to play around with to build an intuition for stats...
#neuroscience
#course
GitHub
GitHub - BlohmLab/NSCI801-QuantNeuro: NSCI 801 (Queen's U) Quantitative Neuroscience course materials
NSCI 801 (Queen's U) Quantitative Neuroscience course materials - GitHub - BlohmLab/NSCI801-QuantNeuro: NSCI 801 (Queen's U) Quantitative Neuroscience course materials
Forwarded from Complex Systems Studies
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/
❗️#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/
EPFL
Open positions
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