Connectionists: NEST Conference 2019 / Registration Deadline 15 May / Extended Poster Deadline 15 May

[Hans Ekkehard Plesser]

Dear Colleagues!

We are looking forward to an exciting 

	NEST Conference 2019 at NMBU, Ås, Norway on 24-25 June 2019

with talks covering a wide range of topics from  simulation technology to large-scale network simulations as shown below.

Please register at

	https://www.nest-initiative.org/conference

by 

	Wednesday, 15 May 2019

We still have a few slots for conference posters available, so you are still welcome to submit your poster until 15 May. Please see the conference website for instructions.

We are looking forward to seeing you in Ås in June!

Hans Ekkehard Plesser, Susanne Kunkel & Dennis Terhorst


NEST Conference 2019 Talks (only presenting author shown)

• GeNN: GPU-enhanced neural networks (James Knight)
• Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles)
• Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Cristiano Capone)
• Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti)
• Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova)
• What’s new in the NEST user-level documentation (Jessica Mitchell)
• ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler)

• Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas)
• Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi)
• Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani)
• A NEST CPG for pythonic motor control: Servomander (Harry Howard)
• NEST desktop: A web-based GUI for NEST simulator (Sebastian Spreizer)
• Tools for the Visual Analysis of Simulation Datasets (Óscar David Robles)
• Neural Network Simulation Code for Extreme Scale Hybrid Systems (Kristina Kapanova)
• NEST performance profiling (Susanne Kunkel)

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Prof. Dr. Hans Ekkehard Plesser
Head, Data Science Section

Faculty of Science and Technology
Norwegian University of Life Sciences
PO Box 5003, 1432 Aas, Norway

Phone +47 6723 1560
Email hans.ekkehard.plesser at nmbu.no
Home  http://arken.nmbu.no/~plesser