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Larger GPU-accelerated brain simulations with procedural connectivity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cne.23458openalex-snapshot
Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex
inferredcites →https://doi.org/10.1007/978-1-4613-8643-8openalex-snapshot
Non-Uniform Random Variate Generation
inferredcites →https://doi.org/10.1007/s00429-017-1554-4openalex-snapshot
Multi-scale account of the network structure of macaque visual cortex
inferredcites →https://doi.org/10.1007/s10827-007-0038-6openalex-snapshot
Simulation of networks of spiking neurons: A review of tools and strategies
inferredcites →https://doi.org/10.1016/j.neuron.2013.07.036openalex-snapshot
A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule
inferredcites →https://doi.org/10.1016/j.pneurobio.2013.12.005openalex-snapshot
Exploring the network dynamics underlying brain activity during rest
inferredcites →https://doi.org/10.1038/nn.2479openalex-snapshot
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
inferredcites →https://doi.org/10.1038/srep18854openalex-snapshot
GeNN: a code generation framework for accelerated brain simulations
inferredcites →https://doi.org/10.1073/pnas.0604911103openalex-snapshot
Cellular scaling rules for rodent brains
inferredcites →https://doi.org/10.1073/pnas.0712231105openalex-snapshot
Large-scale model of mammalian thalamocortical systems
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/10.1098/rsta.2019.0160openalex-snapshot
Real-time cortical simulation on neuromorphic hardware
inferredcites →https://doi.org/10.1109/ijcnn.2017.7966124openalex-snapshot
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites
inferredcites →https://doi.org/10.1109/tbcas.2018.2880425openalex-snapshot
A 0.086-mm $^2$ 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS
inferredcites →https://doi.org/10.1126/science.1254642openalex-snapshot
A million spiking-neuron integrated circuit with a scalable communication network and interface
inferredcites →https://doi.org/10.1162/neco.2007.19.11.2881openalex-snapshot
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics
inferredcites →https://doi.org/10.1371/journal.pcbi.1000433openalex-snapshot
Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex
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/10.1371/journal.pcbi.1006359openalex-snapshot
A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas
inferredcites →https://doi.org/10.1371/journal.pcbi.1006361openalex-snapshot
scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data
inferredcites →https://doi.org/10.1523/jneurosci.0009-08.2008openalex-snapshot
Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information
inferredcites →https://doi.org/10.1523/jneurosci.1400-04.2004openalex-snapshot
A Quantitative Map of the Circuit of Cat Primary Visual Cortex
inferredcites →https://doi.org/10.1523/jneurosci.3508-05.2005openalex-snapshot
Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons
inferredcites →https://doi.org/10.3389/fninf.2012.00030openalex-snapshot
CoCoMac 2.0 and the future of tract-tracing databases
inferredcites →https://doi.org/10.3389/fninf.2014.00006openalex-snapshot
Equation-oriented specification of neural models for simulations
inferredcites →https://doi.org/10.3389/fninf.2018.00002openalex-snapshot
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
inferredcites →https://doi.org/10.3389/fninf.2018.00068openalex-snapshot
Code Generation in Computational Neuroscience: A Review of Tools and Techniques
inferredcites →https://doi.org/10.3389/fnins.2015.00141openalex-snapshot
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
inferredcites →https://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
inferredcites →https://doi.org/10.4249/scholarpedia.1430openalex-snapshot
NEST (NEural Simulation Tool)
inferredcites →https://doi.org/10.48550/arxiv.1606.02882openalex-snapshot
NESTML: a modeling language for spiking neurons
inferredcites →https://doi.org/10.5281/zenodo.1412344openalex-snapshot
Nestml: A Modeling Language For Spiking Neurons
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-82427-3_4openalex-snapshot
Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex
inferred← citeshttps://doi.org/10.1038/s43588-020-00022-7openalex-snapshot
Larger GPU-accelerated brain simulations with procedural connectivity
inferred← citeshttps://doi.org/10.1109/iciea58696.2023.10241431openalex-snapshot
A Power-Efficient LIF Neuron Implementation for Event-Driven Spiking Neural Networks
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/10.1609/aaai.v38i11.29087openalex-snapshot
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
inferred← citeshttps://doi.org/10.3389/fninf.2020.522000openalex-snapshot
Simulation of Large Scale Neural Models With Event-Driven Connectivity Generation
inferred← citeshttps://doi.org/10.3389/fninf.2021.659005openalex-snapshot
PyGeNN: A Python Library for GPU-Enhanced Neural Networks
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/fphys.2024.1379977openalex-snapshot
Investigating visual navigation using spiking neural network models of the insect mushroom bodies
inferred← citeshttps://doi.org/10.36227/techrxiv.21837027openalex-snapshot
Brain Inspired Computing: A Systematic Survey and Future Trends
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