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A real-time reconfigurable multichip architecture for large-scale biophysically accurate neuron simulation
Simulation of brain neurons in real-time using biophysically meaningful models is a
prerequisite for comprehensive understanding of how neurons process information and …
prerequisite for comprehensive understanding of how neurons process information and …
A real-time hybrid neuron network for highly parallel cognitive systems
J Christiaanse - Real-Time Multi-Chip Neural Network for …, 2022 - taylorfrancis.com
For comprehensive understanding of how neurons communicate with each other, new tools
need to be developed that can accurately reproduce and mimic the behaviour of such …
need to be developed that can accurately reproduce and mimic the behaviour of such …
[HTML][HTML] An Improved Framework for and Case Studies in FPGA-Based Application Acceleration-Computer Vision, In-Network Processing and Spiking Neural …
J Hofmann - 2020 - tuprints.ulb.tu-darmstadt.de
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center
acceleration. While the underlying technology has been around for decades, their …
acceleration. While the underlying technology has been around for decades, their …
A hierarchical dataflow architecture for large-scale multi-FPGA biophysically accurate neuron simulation
H Zhang - Real-Time Multi-Chip Neural Network for Cognitive …, 2022 - taylorfrancis.com
The scalable simulation of neuron communication requires a large amount of computing
resources. The high throughput of data poses significant challenges on the interconnect …
resources. The high throughput of data poses significant challenges on the interconnect …
Energy-efficient multipath ring network for heterogeneous clustered neuronal arrays
A Ardelean - Real-Time Multi-Chip Neural Network for Cognitive …, 2022 - taylorfrancis.com
Simulating large spiking neural networks (SNN) with a high level of realism in a field-
programmable gate array (FPGA) requires efficient network architectures that satisfy both …
programmable gate array (FPGA) requires efficient network architectures that satisfy both …
[PDF][PDF] Integrating a Neuron Network application into a ZYBO Zynq-7000 development board with an AXI-Bus interface
M Ahmadinia - repository.tudelft.nl
In order to verify an application with a simulation, increasing the simulation speed is
important. An Inferior Olivary Nucleus (ION) network has been implemented in a SystemC …
important. An Inferior Olivary Nucleus (ION) network has been implemented in a SystemC …
Digital spiking neuron cells for real-time reconfigurable learning networks
H Lin, A Zjajo, R van Leuken - 2017 30th IEEE International …, 2017 - ieeexplore.ieee.org
The high level of realism of spiking neuron networks and their complexity require a
substantial computational resources limiting the size of the realized networks. Consequently …
substantial computational resources limiting the size of the realized networks. Consequently …
Digital Neuron Cells for Highly Parallel Cognitive Systems
H Lin - Real-Time Multi-Chip Neural Network for Cognitive …, 2022 - taylorfrancis.com
The biophysically meaningful neuron models can be used to simulate human brain
behaviour. The understanding of neuron behaviours is expected to play a prominent role in …
behaviour. The understanding of neuron behaviours is expected to play a prominent role in …