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James Gonzalo King

Cette personne a quitté l’EPFL

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Publications associées (22)

Page 1 sur 2

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Weina Ji, Henry Markram, Felix Schürmann, Daniel Keller, Eilif Benjamin Muller, Michael Reimann, Werner Alfons Hilda Van Geit, Srikanth Ramaswamy, Matthias Wolf, James Gonzalo King, Alexis Arnaudon, András Ecker, Rajnish Ranjan, Jean-Denis Georges Emile Courcol, Armando Romani, Pramod Shivaji Kumbhar, Judit Planas Carbonell, Giuseppe Chindemi, Michael Emiel Gevaert, Christian Andreas Rössert, Fernando Joaquim Leite Pereira, Omar Awile, Mustafa Anil Tuncel, Daniela Egas Santander, James Bryden Isbister, Natali Barros Zulaica, Samuel Lieven D. Lapere, Sirio Bolaños Puchet, Maria Reva, Genrich Ivaska, Tanguy Pierre Louis Damart, Darshan Mandge, Joni Henrikki Herttuainen, Christoph Pokorny, Elvis Boci, Vishal Sood, Thomas Brice Delemontex, Aleksandra Zuzanna Teska, Polina Litvak, Alexander Dietz, Jorge Blanco Alonso, Gianluca Ficarelli

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo. Large-scale, biophysically detailed models offer a tool which can complement laboratory approaches. We present a m ...

2024

STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale

Christos Kotsalos, Tristan Mathieu Carel, Samuel Marie A Melchior, Baudouin Paul Michel Maria Joseph Del Marmol, Giacomo Castiglioni, Nicola Cantarutti, Felix Schürmann, James Gonzalo King, Pramod Shivaji Kumbhar, Omar Awile, Alessandro Cattabiani

Recent advances in computational neuroscience have demonstrated the usefulness and importance of stochastic, spatial reaction-diffusion simulations. However, ever increasing model complexity renders traditional serial solvers, as well as naive parallel imp ...

FRONTIERS MEDIA SA2022

CoreNEURON : An Optimized Compute Engine for the NEURON Simulator

Aleksandr Ovcharenko, Jérémy Pierre Benoit Fouriaux, Felix Schürmann, James Gonzalo King, Pramod Shivaji Kumbhar, Fabien Jonathan Delalondre

The NEURON simulator has been developed over the past three decades and is widely used by neuroscientists to model the electrical activity of neuronal networks. Large network simulation projects using NEURON have supercomputer allocations that individually ...

2019

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy

Henry Markram, Kathryn Hess Bellwald, Felix Schürmann, Daniel Keller, Eilif Benjamin Muller, Michael Reimann, Werner Alfons Hilda Van Geit, Lida Kanari, Srikanth Ramaswamy, Matthias Wolf, James Gonzalo King, Alexis Arnaudon, Ying Shi, András Ecker, Jean-Denis Georges Emile Courcol, Armando Romani, Pramod Shivaji Kumbhar, Judit Planas Carbonell, Michael Emiel Gevaert, Fernando Joaquim Leite Pereira, Liesbeth Maria L Vanherpe, Huanxiang Lu, Daniela Egas Santander, James Bryden Isbister, Ran Levi, Benoît Jean-Albert Coste, Samuel Lieven D. Lapere, Sirio Bolaños Puchet, Juan Bautista Hernando Vieites, Cyrille Pierre Henri Favreau, Joni Henrikki Herttuainen, Christoph Pokorny, Vishal Sood, Thomas Brice Delemontex, Adrien Michel Achille Devresse, Nicolas René Jean Ninin, Alexander Dietz, Hugo Thabo Dictus, Gianluca Ficarelli

The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also by its rich, hierarchical, interregional structure with a highly specific laminar architecture. The last decade has seen the emergence of extensive new ...

2024

High synaptic threshold for dendritic NMDA spike generation in human layer 2/3 pyramidal neurons

Suraj Honnuraiah, James Gonzalo King

Neurons receive synaptic input primarily onto their dendrites. While we know much about the electrical properties of dendrites in rodents, we have only just started to describe their properties in the human brain. Here, we investigate the capacity of human ...

2022

Search for high-mass exclusive diphoton production with tagged protons in proton-proton collisions at √s=13 TeV

Emilio Perez, Thomas L. Sterling, Jiahui Fan, Mateusz Adam Dabrowski, Ian Smith, Matthias Finger, Jian Zhao, Jan Steggemann, Konstantin Androsov, Qian Wang, Michele De Palma, Anna Mascellani, Yi Zhang, Jian Wang, Joanna Malgorzata Wanczyk, Pedro Camilo de Oliveira e Silva, Rakesh Chawla, Myun Sik Kim, Thomas Mountford, Varun Sharma, Mirko Kovac, Shivom Sharma, Chang-Hyun Park, Jae-Woo Choi, Rahul Kumar Gupta, Hua Zhang, Mike Seidel, Joo Yeon Kim, Matteo Galli, Matthias Wolf, James Gonzalo King, Shubhajit Das, Xiaoqiang Wang, Zhenyu Wang, Xin Chen, Gabriele Grosso, Rishi Sharma, Chia-Chun Chen, Jia Liu, Jung Eung Park, Ekaterina Kuznetsova, Siyuan Wang, Mithlesh Kumar, Chenyang Wang, Xiaoxin Gao, Aman Sharma, Junyin Zhang, Subham Choudhury, Seonwoo Lee, Mingyang Liu, Davide Di Croce, Patrick Berger, Jordy Daniel Müller, Marie Jane Francine Jones, Wei-Hsiang Lin, Wanyun Xie, Hyungjun Lee, Vu Trung Tin Nguyen, Junfeng Xiao, Wanting Jin, Zeming Chen, Maria Isabel Cordero Campana, Young Min Kim, Ling Zhou, Weilin Li, Haoze He, Andrea Santoro, Thomas Ka Chung Lam, Özdemir Can Kara, Bokyoung Kim, Notash Shafiei, Shaohui Yang, Haiyuan Wang, Youngro Lee, Dong Hyun Kim, Florian Hartmann, Muhammad Awais Naeem, Lu Wang, Shailesh Mishra, Tianqi Liu, Zhuan Shi, Leyu Zhang, Yihong Chen, Changliang Li, Sudipto Sarkar, Fang Wang, Yikai Yang, Boya Wang, Guoyuan Liu, Venu Gopal Agarwal, Zihan Wu, Hong-Bin Yang, Yunzhen Yao, Chenxu Liu, Xiaowu Sun, Zihan Hu

A search is presented for high-mass exclusive diphoton production via photon-photon fusion in proton-proton collisions at root s = 13 TeV in events where both protons survive the interaction. The analysis utilizes data corresponding to an integrated lumino ...

AMER PHYSICAL SOC2024

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Sean Lewis Hill, Idan Segev, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, Werner Alfons Hilda Van Geit, Marwan Muhammad Ahmed Abdellah, James Gonzalo King, Lida Kanari, Julian Charles Shillcock, Ying Shi, Jean-Denis Georges Emile Courcol, Rajnish Ranjan, Juan Bautista Hernando Vieites, Stefan Eilemann, Michael Emiel Gevaert, Giuseppe Chindemi, Nicolas Antille, Jeffrey Christopher Muller, Ahmet Bilgili

We have established a multi-constraint, data-driven process to digitally reconstruct, and simulate prototypical neocortical microcircuitry, using sparse experimental data. We applied this process to reconstruct the microcircuitry of the somatosensory corte ...

Frontiers Research Foundation2015

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus

Alberto Antonietti, Davide Bella, Pranav Rai, Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Werner Alfons Hilda Van Geit, Lida Kanari, Srikanth Ramaswamy, James Gonzalo King, Alexis Arnaudon, Ying Shi, András Ecker, Jean-Denis Georges Emile Courcol, Armando Romani, Pramod Shivaji Kumbhar, Judit Planas Carbonell, Michael Emiel Gevaert, Nadir Roman Guerrero, Liesbeth Maria L Vanherpe, Huanxiang Lu, Mohameth François Sy, Cristina Colangelo, Juan Bautista Hernando Vieites, Cyrille Pierre Henri Favreau, Genrich Ivaska, Anna-Kristin Kaufmann, Joni Henrikki Herttuainen, Elvis Boci, Vishal Sood, Thomas Brice Delemontex, Fabien Petitjean, Julian Martin Budd, Mustafa Kerem Kurban

The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and function, i ...

2024

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

Henry Markram, Eilif Benjamin Muller, Rodrigo de Campos Perin, Marwan Muhammad Ahmed Abdellah, Werner Alfons Hilda Van Geit, James Gonzalo King, András Ecker, Vincent Delattre, Pramod Shivaji Kumbhar, Giuseppe Chindemi, Christian Andreas Rössert, Mustafa Anil Tuncel, Aurélien Tristan Jaquier, Caitlin Claire Monney

Pyramidal cells (PCs) form the backbone of the layered structure of the neocortex, and plasticity of their synapses is thought to underlie learning in the brain. However, such long-term synaptic changes have been experimentally characterized between only a ...

Nature Portfolio2022

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Felix Schürmann, James Gonzalo King, Pramod Shivaji Kumbhar, Omar Awile, Jorge Blanco Alonso

Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit domain knowledge for the generation of more efficient code on target architectures. Here, we describe a new c ...

Springer2020

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

Nicolas Pierre Jean Cornu, Alexandru Savulescu, Oliver James Lupton, Felix Schürmann, James Gonzalo King, Pramod Shivaji Kumbhar, Fernando Joaquim Leite Pereira, 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

Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations

James Gonzalo King, Felix Schürmann, Pramod Shivaji Kumbhar, Aleksandr Ovcharenko

The European Dynamical Exascale Entry Platform (DEEP) is an example of a new type of heterogeneous supercomputing architecture that include both a standard multicore-based "Cluster" used to run less scalable parts of an application, and an Intel MIC-based ...

Springer Int Publishing Ag2016

Reconstruction and Simulation of Neocortical Microcircuitry

Anastasia Ailamaki, Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Sean Lewis Hill, Idan Segev, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, Thomas Heinis, Werner Alfons Hilda Van Geit, Rodrigo de Campos Perin, Marwan Muhammad Ahmed Abdellah, James Gonzalo King, Lida Kanari, Farhan Tauheed, Julian Charles Shillcock, Pramod Shivaji Kumbhar, Gilad Silberberg, Ying Shi, Vincent Delattre, Jean-Denis Georges Emile Courcol, Rajnish Ranjan, Juan Bautista Hernando Vieites, Stefan Eilemann, Michael Emiel Gevaert, Giuseppe Chindemi, Jean-Vincent Le Bé, Julie Meystre, Taylor Howard Newton, Max Christian Nolte, Nicolas Antille, Georges Khazen, Sébastien Lasserre, Jean Pierre Ghobril, Jeffrey Christopher Muller, Aleksandr Ovcharenko, Shruti Muralidhar, Ahmet Bilgili, Daniel Nachbaur

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse ex ...

Elsevier2015

The SONATA data format for efficient description of large-scale network models

Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, James Gonzalo King, Jean-Denis Georges Emile Courcol, Judit Planas Carbonell, Michael Emiel Gevaert, Juan Bautista Hernando Vieites, Adrien Michel Achille Devresse

Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simulation ...

2020

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

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

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

An algorithm to predict the connectome of neural microcircuits

Henry Markram, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, James Gonzalo King

Experimentally mapping synaptic connections, in terms of the numbers and locations of their synapses and estimating connection probabilities, is still not a tractable task, even for small volumes of tissue. In fact, the six layers of the neocortex contain ...

Frontiers Research Foundation2015

A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers

Henry Markram, Daniel Keller, James Gonzalo King, James Bryden Isbister, Polina Shichkova, Darshan Mandge, Jean Nicolas Jacquemier, Alessandro Cattabiani

The high energetic demands of the brain arise primarily from neuronal activity. Neurons consume substantial energy to transmit information as electrical signals and maintain their resting membrane potential. These energetic requirements are met by the neur ...

Public Library of Science (PLoS)2025

Cortical reliability amid noise and chaos

Henry Markram, Eilif Benjamin Muller, Michael Reimann, James Gonzalo King, Max Christian Nolte

Typical responses of cortical neurons to identical sensory stimuli appear highly variable. It has thus been proposed that the cortex primarily uses a rate code. However, other studies have argued for spike-time coding under certain conditions. The potentia ...

Nature Research2019

Structural to functional synaptic conversion

Henry Markram, Felix Schürmann, Sean Lewis Hill, Eilif Benjamin Muller, Michael Reimann, James Gonzalo King

Computer-implemented methods, software, and systems for determining functional synapses from given structural touches between cells in a neuronal circuit are described. One computer-implemented method for determining functional synapses from predetermined ...

Technology Transfer Office EPFL2015

Simplification of spiking neural network models

Wulfram Gerstner, Henry Markram, Eilif Benjamin Muller, James Gonzalo King, Christian Antonio Pozzorini, Csaba Erö, Christian Andreas Rössert, Idan Segev, Willem Anna Mark Wybo

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron ...

2024