On the public citation graph
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
0 signed · 165 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-12084-3_3openalex-snapshot
Integrating Brain Structure and Dynamics on Supercomputers
inferredcites →https://doi.org/10.1007/978-3-319-41321-1_19openalex-snapshot
Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations
inferredcites →https://doi.org/10.1007/978-94-007-3858-4_10openalex-snapshot
Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers
inferredcites →https://doi.org/10.1007/pl00007964openalex-snapshot
A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex
inferredcites →https://doi.org/10.1007/s00422-008-0233-1openalex-snapshot
Phenomenological models of synaptic plasticity based on spike timing
inferredcites →https://doi.org/10.1016/0141-1195(83)90125-0openalex-snapshot
Writing efficient programs
inferredcites →https://doi.org/10.1016/j.tics.2010.04.004openalex-snapshot
Large-scale brain networks in cognition: emerging methods and principles
inferredcites →https://doi.org/10.1073/pnas.0810390106openalex-snapshot
The fractions of short- and long-range connections in the visual cortex
inferredcites →https://doi.org/10.1093/cercor/bhs270openalex-snapshot
A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex
inferredcites →https://doi.org/10.1093/cercor/bhs358openalex-snapshot
The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model
inferredcites →https://doi.org/10.1109/82.842110openalex-snapshot
Point-to-point connectivity between neuromorphic chips using address events
inferredcites →https://doi.org/10.1162/0899766054026648openalex-snapshot
Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing
inferredcites →https://doi.org/10.1162/neco.2007.19.6.1437openalex-snapshot
Spike-Timing-Dependent Plasticity in Balanced Random Networks
inferredcites →https://doi.org/10.1162/neco_a_00876openalex-snapshot
Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON
inferredcites →https://doi.org/10.1177/1094342010391989openalex-snapshot
The International Exascale Software Project roadmap
inferredcites →https://doi.org/10.1201/ebk1439811924openalex-snapshot
Introduction to High Performance Computing for Scientists and Engineers
inferredcites →https://doi.org/10.1371/journal.pcbi.1000456openalex-snapshot
Towards Reproducible Descriptions of Neuronal Network Models
inferredcites →https://doi.org/10.1371/journal.pcbi.1004490openalex-snapshot
Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations
inferredcites →https://doi.org/10.14529/jsfi140101openalex-snapshot
Toward Exascale Resilience: 2014 update
inferredcites →https://doi.org/10.17815/jlsrf-1-18openalex-snapshot
JUQUEEN: IBM Blue Gene/Q® Supercomputer System at the Jülich Supercomputing Centre
inferredcites →https://doi.org/10.3389/fnana.2016.00057openalex-snapshot
Automatic Generation of Connectivity for Large-Scale Neuronal Network Models through Structural Plasticity
inferredcites →https://doi.org/10.3389/fncom.2010.00141openalex-snapshot
Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity
inferredcites →https://doi.org/10.3389/fncom.2011.00049openalex-snapshot
Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer
inferredcites →https://doi.org/10.3389/fninf.2011.00015openalex-snapshot
An Ultrascalable Solution to Large-scale Neural Tissue Simulation
inferredcites →https://doi.org/10.3389/fninf.2011.00035openalex-snapshot
Meeting the Memory Challenges of Brain-Scale Network Simulation
inferredcites →https://doi.org/10.3389/fninf.2012.00026openalex-snapshot
Supercomputers Ready for Use as Discovery Machines for Neuroscience
inferredcites →https://doi.org/10.3389/fninf.2013.00010openalex-snapshot
The Virtual Brain: a simulator of primate brain network dynamics
inferredcites →https://doi.org/10.3389/fninf.2013.00048openalex-snapshot
Nengo: a Python tool for building large-scale functional brain models
inferredcites →https://doi.org/10.3389/fninf.2014.00023openalex-snapshot
CyNEST: a maintainable Cython-based interface for the NEST simulator
inferredcites →https://doi.org/10.3389/fninf.2014.00078openalex-snapshot
Spiking network simulation code for petascale computers
inferredcites →https://doi.org/10.3389/fninf.2015.00022openalex-snapshot
A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations
inferredcites →https://doi.org/10.3389/fninf.2017.00030openalex-snapshot
Constructing Neuronal Network Models in Massively Parallel Environments
inferredcites →https://doi.org/10.3389/fninf.2017.00034openalex-snapshot
Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator
inferredcites →https://doi.org/10.3389/fninf.2017.00040openalex-snapshot
The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code
inferredcites →https://doi.org/10.3389/neuro.11.012.2008openalex-snapshot
PyNEST: A convenient interface to the NEST simulator
inferredcites →https://doi.org/10.3389/neuro.11.015.2009openalex-snapshot
STEPS: Modeling and simulating complex reaction-diffusion systems with Python
inferredcites →https://doi.org/10.4249/scholarpedia.1383openalex-snapshot
GENESIS (simulation environment)
inferredcites →https://doi.org/10.4249/scholarpedia.1430openalex-snapshot
NEST (NEural Simulation Tool)
inferredcites →https://doi.org/10.48550/arxiv.1511.09364openalex-snapshot
Full-density multi-scale account of structure and dynamics of macaque visual cortex
inferredcites →https://doi.org/10.5860/choice.26-0972openalex-snapshot
Numerical solution of partial differential equations by the finite element method
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-1-0716-1006-0_258openalex-snapshot
NEST: The Neural Simulation Tool
inferred← citeshttps://doi.org/10.1007/978-1-0716-4019-7_15openalex-snapshot
Phenomenological Modeling of Diverse and Heterogeneous Synaptic Dynamics at Natural Density
inferred← citeshttps://doi.org/10.1007/978-1-4614-7320-6_258-6openalex-snapshot
NEST: The Neural Simulation Tool
inferred← citeshttps://doi.org/10.1007/978-3-030-11135-9_15openalex-snapshot
Closed-Loop Systems and In Vitro Neuronal Cultures: Overview and Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-30487-4_10openalex-snapshot
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-030-34356-9_31openalex-snapshot
Performance Comparison for Neuroscience Application Benchmarks
inferred← citeshttps://doi.org/10.1007/978-3-030-78713-4_20openalex-snapshot
Performance of the Supercomputer Fugaku for Breadth-First Search in Graph500 Benchmark
inferred← citeshttps://doi.org/10.1007/978-3-030-82427-3_4openalex-snapshot
Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex
inferred← citeshttps://doi.org/10.1007/978-3-030-82427-3_5openalex-snapshot
Modular Supercomputing for Neuroscience
inferred← citeshttps://doi.org/10.1007/978-3-031-76516-2_40openalex-snapshot
Future of Neural Networks and Energy Consumption Aspects
inferred← citeshttps://doi.org/10.1007/s00422-019-00810-zopenalex-snapshot
The case for emulating insect brains using anatomical “wiring diagrams” equipped with biophysical models of neuronal activity
inferred← citeshttps://doi.org/10.1007/s11721-023-00231-6openalex-snapshot
Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks
inferred← citeshttps://doi.org/10.1007/s12021-019-09451-wopenalex-snapshot
Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models
inferred← citeshttps://doi.org/10.1007/s12021-025-09766-xopenalex-snapshot
The Neural Analysis Toolkit Unifies Semi-Analytical Techniques to Simplify, Understand, and Simulate Dendrites
inferred← citeshttps://doi.org/10.1007/s12559-021-09942-6openalex-snapshot
Testing an Explicit Method for Multi-compartment Neuron Model Simulation on a GPU
inferred← citeshttps://doi.org/10.1007/s12668-020-00743-zopenalex-snapshot
Oscillator Motif as Design Pattern for the Spinal Cord Circuitry Reconstruction
inferred← citeshttps://doi.org/10.1007/s13246-021-01079-yopenalex-snapshot
In the future simulations will replace clinical trials
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110860openalex-snapshot
Mitigating critical nodes in brain simulations via edge removal
inferred← citeshttps://doi.org/10.1016/j.gpb.2019.09.003openalex-snapshot
How Big Data and High-Performance Computing Drive Brain Science
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.050openalex-snapshot
Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions
inferred← citeshttps://doi.org/10.1016/j.neures.2024.11.005openalex-snapshot
Future projections for mammalian whole-brain simulations based on technological trends in related fields
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2022.118928openalex-snapshot
Dynamic primitives of brain network interaction
inferred← citeshttps://doi.org/10.1016/j.neuroscience.2021.01.014openalex-snapshot
Human-scale Brain Simulation via Supercomputer: A Case Study on the Cerebellum
inferred← citeshttps://doi.org/10.1016/j.parco.2022.102952openalex-snapshot
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers
inferred← citeshttps://doi.org/10.1021/acsaelm.0c00832openalex-snapshot
Hafnia-Based Double-Layer Ferroelectric Tunnel Junctions as Artificial Synapses for Neuromorphic Computing
inferred← citeshttps://doi.org/10.1038/s41597-025-05126-1openalex-snapshot
Metadata practices for simulation workflows
inferred← citeshttps://doi.org/10.1038/s41597-025-05213-3openalex-snapshot
Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO)
inferred← citeshttps://doi.org/10.1038/s43588-020-00022-7openalex-snapshot
Larger GPU-accelerated brain simulations with procedural connectivity
inferred← citeshttps://doi.org/10.1049/cje.2021.00.236openalex-snapshot
Internet of Brain, Thought, Thinking, and Creation
inferred← citeshttps://doi.org/10.1088/1742-6596/1290/1/012017openalex-snapshot
DCA++ project: Sustainable and scalable development of a high-performance research code
inferred← citeshttps://doi.org/10.1088/2634-4386/ac55fcopenalex-snapshot
Sub-realtime simulation of a neuronal network of natural density
inferred← citeshttps://doi.org/10.1088/2634-4386/acf1c4openalex-snapshot
Sequence learning in a spiking neuronal network with memristive synapses
inferred← citeshttps://doi.org/10.1088/2634-4386/ae762eopenalex-snapshot
Exploiting network topology in brain-scale simulations of spiking neural networks
inferred← citeshttps://doi.org/10.1088/2634-4386/ae96d1openalex-snapshot
Event-driven eligibility propagation in large sparse networks
inferred← citeshttps://doi.org/10.1093/cercor/bhae405openalex-snapshot
Reconciliation of weak pairwise spike–train correlations and highly coherent local field potentials across space
inferred← citeshttps://doi.org/10.1093/cercor/bhae409openalex-snapshot
Multi-scale spiking network model of human cerebral cortex
inferred← citeshttps://doi.org/10.1101/2020.04.27.063693openalex-snapshot
Larger GPU-accelerated brain simulations with procedural connectivity
inferred← citeshttps://doi.org/10.1101/2024.11.11.622953openalex-snapshot
Modeling neuron-astrocyte interactions in neural networks using distributed simulation
inferred← citeshttps://doi.org/10.1101/2025.06.30.662287openalex-snapshot
A NEST-based framework unlocks massively parallel simulation of networks of multicompartment neurons with customizable subcellular dynamics
inferred← citeshttps://doi.org/10.1109/access.2025.3550444openalex-snapshot
SimHH: A Versatile, Multi-GPU Simulator for Extended Hodgkin-Huxley Networks
inferred← citeshttps://doi.org/10.1109/asap52443.2021.00042openalex-snapshot
A Novel Ring-based Small-World NoC for Neuromorphic Processor
inferred← citeshttps://doi.org/10.1109/cbs46900.2019.9114483openalex-snapshot
Towards in-silico robotic post-stroke rehabilitation for mice
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188207openalex-snapshot
Comparing Neuromorphic Systems by Solving Sudoku Problems
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10649998openalex-snapshot
Computational Effects of Free-Flowing Ion Concentrations in Spiking Neural Networks
inferred← citeshttps://doi.org/10.1109/ipdps65963.2026.00034openalex-snapshot
Scalable Spike Transmission in Large-Scale Brain Network Simulations
inferred← citeshttps://doi.org/10.1109/iscas.2019.8702407openalex-snapshot
Biomimetic Spiking Neural Network (SNN) Systems for ‘In Vitro’ Cells Stimulation
inferred← citeshttps://doi.org/10.1109/iscas58744.2024.10558463openalex-snapshot
TSCM: A TCAM-Based Sparse Connection Memory Architecture in Neuromorphic Computing System for Cortical Simulation
inferred← citeshttps://doi.org/10.1109/jproc.2024.3429360openalex-snapshot
Brain-Inspired Computing: A Systematic Survey and Future Trends
inferred← citeshttps://doi.org/10.1109/nice65350.2025.11065060openalex-snapshot
Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware
inferred← citeshttps://doi.org/10.1109/nice65350.2025.11065886openalex-snapshot
Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware
inferred← citeshttps://doi.org/10.1109/pdp50117.2020.00048openalex-snapshot
Implementation of Syncytial Models in NEURON Simulator for Improved Efficiency
inferred← citeshttps://doi.org/10.1109/ssci47803.2020.9308187openalex-snapshot
A Spiking Neural Network Based Auto-encoder for Anomaly Detection in Streaming Data
inferred← citeshttps://doi.org/10.1109/tcsi.2024.3431036openalex-snapshot
CorTile: A Scalable Neuromorphic Processing Core for Cortical Simulation With Hybrid-Mode Router and TCAM
inferred← citeshttps://doi.org/10.1109/tpds.2020.2994123openalex-snapshot
High Performance Simulation of Spiking Neural Network on GPGPUs
inferred← citeshttps://doi.org/10.1109/tpds.2023.3291825openalex-snapshot
ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters
inferred← citeshttps://doi.org/10.1109/wsc57314.2022.10015291openalex-snapshot
Advanced Tutorial: Parallel and Distributed Methods for Scalable Discrete Simulation
inferred← citeshttps://doi.org/10.1145/3316480.3322893openalex-snapshot
Transitioning Spiking Neural Network Simulators to Heterogeneous Hardware
inferred← citeshttps://doi.org/10.1145/3414622.3431909openalex-snapshot
Communication architecture enabling 100x accelerated simulation of biological neural networks
inferred← citeshttps://doi.org/10.1145/3422389openalex-snapshot
Transitioning Spiking Neural Network Simulators to Heterogeneous Hardware
inferred← citeshttps://doi.org/10.1145/3545008.3545019openalex-snapshot
Regularizing Sparse and Imbalanced Communications for Voxel-based Brain Simulations on Supercomputers
inferred← citeshttps://doi.org/10.1155/2021/9112407openalex-snapshot
Concepts and Application of DNA Origami and DNA Self-Assembly: A Systematic Review
inferred← citeshttps://doi.org/10.11606/9786587773131openalex-snapshot
Inteligência artificial: avanços e tendências
inferred← citeshttps://doi.org/10.1162/neco_a_01524openalex-snapshot
Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity
inferred← citeshttps://doi.org/10.1177/0037549720903804openalex-snapshot
A novel parallel clock-driven algorithm for simulation of neuronal networks based on virtual synapse
inferred← citeshttps://doi.org/10.1177/1094342020912528openalex-snapshot
Analytic performance modeling and analysis of detailed neuron simulations
inferred← citeshttps://doi.org/10.1186/s12868-020-00593-1openalex-snapshot
Effects of dopamine on networks of barrel cortex
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008996openalex-snapshot
Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1013503openalex-snapshot
Modeling neuron-astrocyte interactions in neural networks using distributed simulation
inferred← citeshttps://doi.org/10.14529/jsfi180104openalex-snapshot
The High-Q Club: Experience Extreme-scaling Application Codes
inferred← citeshttps://doi.org/10.21248/gups.91001openalex-snapshot
Sequence learning in spiking neural networks: novel tools and mechanisms
inferred← citeshttps://doi.org/10.26599/bdma.2024.9020007openalex-snapshot
Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators
inferred← citeshttps://doi.org/10.31219/osf.io/gxyf8openalex-snapshot
The case for emulating insect brains using anatomical “wiring diagrams” equipped with biophysical models of neuronal activity
inferred← citeshttps://doi.org/10.3389/fnbot.2022.817948openalex-snapshot
Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System
inferred← citeshttps://doi.org/10.3389/fncel.2021.623552openalex-snapshot
Real-Time Simulation of a Cerebellar Scaffold Model on Graphics Processing Units
inferred← citeshttps://doi.org/10.3389/fncom.2019.00046openalex-snapshot
A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents
inferred← citeshttps://doi.org/10.3389/fncom.2022.885207openalex-snapshot
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn
inferred← citeshttps://doi.org/10.3389/fncom.2025.1575630openalex-snapshot
Closed-loop coupling of both physiological spindle model and spinal pathways for sensorimotor control of human center-out reaching
inferred← citeshttps://doi.org/10.3389/fninf.2018.00032openalex-snapshot
Toward Rigorous Parameterization of Underconstrained Neural Network Models Through Interactive Visualization and Steering of Connectivity Generation
inferred← citeshttps://doi.org/10.3389/fninf.2018.00034openalex-snapshot
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
inferred← citeshttps://doi.org/10.3389/fninf.2018.00088openalex-snapshot
Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness
inferred← citeshttps://doi.org/10.3389/fninf.2019.00019openalex-snapshot
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve Scalability
inferred← citeshttps://doi.org/10.3389/fninf.2019.00069openalex-snapshot
Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator
inferred← citeshttps://doi.org/10.3389/fninf.2019.00071openalex-snapshot
Large-Scale Simulation of a Layered Cortical Sheet of Spiking Network Model Using a Tile Partitioning Method
inferred← citeshttps://doi.org/10.3389/fninf.2020.00012openalex-snapshot
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions
inferred← citeshttps://doi.org/10.3389/fninf.2020.00016openalex-snapshot
Simulation of a Human-Scale Cerebellar Network Model on the K Computer
inferred← citeshttps://doi.org/10.3389/fninf.2021.609147openalex-snapshot
Event-Based Update of Synapses in Voltage-Based Learning Rules
inferred← citeshttps://doi.org/10.3389/fninf.2021.715131openalex-snapshot
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks
inferred← citeshttps://doi.org/10.3389/fninf.2021.785068openalex-snapshot
Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring
inferred← citeshttps://doi.org/10.3389/fninf.2022.837549openalex-snapshot
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
inferred← citeshttps://doi.org/10.3389/fninf.2022.883333openalex-snapshot
Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster
inferred← citeshttps://doi.org/10.3389/fninf.2022.884046openalex-snapshot
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance
inferred← citeshttps://doi.org/10.3389/fninf.2022.884180openalex-snapshot
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure
inferred← citeshttps://doi.org/10.3389/fninf.2023.1099510openalex-snapshot
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks
inferred← citeshttps://doi.org/10.3389/fninf.2023.1212384openalex-snapshot
Efficient simulation of neural development using shared memory parallelization
inferred← citeshttps://doi.org/10.3389/fninf.2023.941696openalex-snapshot
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST
inferred← citeshttps://doi.org/10.3389/fninf.2024.1330875openalex-snapshot
ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations
inferred← citeshttps://doi.org/10.3389/fninf.2024.1331220openalex-snapshot
Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch
inferred← citeshttps://doi.org/10.3389/fninf.2025.1544143openalex-snapshot
NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules
inferred← citeshttps://doi.org/10.3389/fnins.2018.00291openalex-snapshot
Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model
inferred← citeshttps://doi.org/10.3389/fnins.2018.00857openalex-snapshot
Low Cost Interconnected Architecture for the Hardware Spiking Neural Networks
inferred← citeshttps://doi.org/10.3389/fnins.2018.00941openalex-snapshot
GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model
inferred← citeshttps://doi.org/10.3389/fnins.2019.00260openalex-snapshot
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
inferred← citeshttps://doi.org/10.3389/fnins.2019.00377openalex-snapshot
Optimized Real-Time Biomimetic Neural Network on FPGA for Bio-hybridization
inferred← citeshttps://doi.org/10.3389/fnins.2021.757790openalex-snapshot
Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution
inferred← citeshttps://doi.org/10.3389/fnins.2022.884128openalex-snapshot
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
inferred← citeshttps://doi.org/10.3389/fnsys.2019.00033openalex-snapshot
Scaling of a Large-Scale Simulation of Synchronous Slow-Wave and Asynchronous Awake-Like Activity of a Cortical Model With Long-Range Interconnections
inferred← citeshttps://doi.org/10.3390/app13179598openalex-snapshot
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices
inferred← citeshttps://doi.org/10.3390/axioms15090632openalex-snapshot
Spike-Aware Propagation Approximation for Conductance-Based LIF Equations
inferred← citeshttps://doi.org/10.36227/techrxiv.21837027openalex-snapshot
Brain Inspired Computing: A Systematic Survey and Future Trends
inferred← citeshttps://doi.org/10.3902/jnns.28.172openalex-snapshot
The Future of Mammalian Whole-brain Simulations Estimated from Technological Trends in Supercomputers and Brain Measurements
inferred← citeshttps://doi.org/10.4018/978-1-7998-7156-9.ch006openalex-snapshot
Introduction to Dataflow Computing
inferred← citeshttps://doi.org/10.4018/978-1-7998-7156-9.ch018openalex-snapshot
Supercomputing in the Study and Stimulation of the Brain
inferred← citeshttps://doi.org/10.48550/arxiv.1906.02757openalex-snapshot
Telling neuronal apples from oranges: analytical performance modeling of neural tissue simulations
inferred← citeshttps://doi.org/10.48550/arxiv.2306.09855openalex-snapshot
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices
inferred← citeshttps://doi.org/10.70675/29312bb2z62e4z4c9dza418z1499edfa0677openalex-snapshot
Theological anthropology and the possibility of human-level artificial intelligence : rethinking human distinctiveness and the Imago Dei
inferred← citeshttps://doi.org/10.70675/6485f18bz0f08z4ae3z9251z7bfa3c5758c7openalex-snapshot
Rôle du connectome structurel sur l'organisation fonctionnelle de l'état de repos : une étude computationnelle à grande échelle chez la souris
inferred← citeshttps://doi.org/10.70675/a933e7d1z8dbbz411fzbdf3z11ada3ab3c35openalex-snapshot
Conception d’une plateforme modulable de réseau de neurones biomimétiques pour l’étude des maladies neurodégénératives
inferred← citeshttps://doi.org/10.7554/elife.66273openalex-snapshot
Evolving interpretable plasticity for spiking networks
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.