The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the virtual NEST Conference 2021. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application.
The virtual NEST Conference 2021
Due to the current restrictions on events and travel, the NEST Conference 2021 will be held as a virtual conference on
Monday/Tuesday 28/29 June
followed by a virtual NEST Hackathon until Friday 2 July.
Registration is open until June 21!
Please register via the registration form provided at the bottom of this page.
The registration fee for NEST Initiative members is 20 CHF and for non-members 50 CHF. Note that you can profit from the reduced fee by becoming a NEST Initiative member before May 16! See https://www.nest-initiative.org/membership/ for details.
Call for Contributions has been closed.
Julia Gallinaro - Embedding memories in a network with excitatory and inhibitory plasticity leaves a spiking regularity trace
Michael Günther Müller - Structured Information Representation with Assemblies of Spiking Neurons
Christian Huyck - NEST for Associative Memory with Winner Take All Nets
Johanna Senk - Conditions for wave trains in spiking neural networks
Christopher Kim - Dynamics of multiple interacting excitatory and inhibitory populations with delays
Sebastian Spreizer - NEST Desktop: A web-based GUI for the NEST Simulator
Muhammad Fahad - Multi-scale brain co-simulation in the Human Brain Project: EBRAINS tools for in-transit simulation and analysis
Claudia Bachmann - EBRAINS Scientific Liaison Unit
Agnes Korcsak-Gorzo - Event-driven implementation of eligibility propagation
Chiara De Luca - Towards a systematic understanding of deep-sleep-like activity effects on the network working points during learning cycles
Willem Wybo - Compartmental models with user-defined trans-membrane currents through NESTML
Younes Bouhadjar - Sequence learning, prediction, and generation in networks of spiking neurons
Sylvain Casteilla - Activity simulations in random networks subject to neurodegradation
Rachael Stentiford - Spiking model of the head direction cell system for orientation estimation
Petia Koprinkova-Hristova - Combining NEST Simulator and Python Modules in Parallel HPC Implementation
Anno Kurth - Sub realtime simulation of a full density microcircuit model on a single compute node
Sandra Diaz - Structural plasticity
Charl Linssen - Modeling and simulation of synaptic plasticity using NESTML and NEST Simulator