Publications de Ioannis Magkanaris

Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

Eilif Benjamin Muller, Michael Reimann, James Gonzalo King, Marwan Muhammad Ahmed Abdellah, Pramod Shivaji Kumbhar, Giuseppe Chindemi, András Ecker, Sirio Bolaños Puchet, James Bryden Isbister, Daniela Egas Santander

Synaptic plasticity underlies the brain’s ability to learn and adapt. While experiments in brain slices have revealed mechanisms and protocols for the induction of plasticity between pairs of neurons, how these synaptic changes are coordinated in biologica ...

2024

Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep

Henry Markram, Sean Lewis Hill, Michael Reimann, Rodrigo de Campos Perin, James Gonzalo King, Ying Shi, Rajnish Ranjan, Mustafa Anil Tuncel, Samuel Claude Kerrien, Polina Litvak

2023

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Felix Schürmann, Pramod Shivaji Kumbhar, Omar Awile, Snehal Pramod Kumbhar, Ioannis Magkanaris

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

James Gonzalo King, Felix Schürmann, Pramod Shivaji Kumbhar, Omar Awile, Ioannis Magkanaris

The need for reproducible, credible, multiscale biological modeling has led to the development of standardized simulation platforms, such as the widely-used NEURON environment for computational neuroscience. Developing and maintaining NEURON over several d ...

2022

CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs

Omar Awile, Ioannis Magkanaris

The simulation of detailed neuronal circuits is based on computationally expensive software simulations and requires access to a large computing cluster. The appearance of new Instruction Set Architectures (ISAs) in most recent High-Performance Computing ( ...

IEEE COMPUTER SOC2020