A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling
2006
The 2006 IEEE International Joint Conference on Neural Network Proceedings
Preserved Fulltext
A novel inter-neuron communications method for increased scalability of Spiking Neural Networks (SNNs) is presented. ...
Capacitive coupling is used as the communication medium with spike functions replaced by oscillatory bursts. ...
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling Another possible solution is Radio Frequency (RF) wireless interconnect which can be either a free space broadcast ...
doi:10.1109/ijcnn.2006.247184
dblp:conf/ijcnn/TuffyMKAMKS06
fatcat:oenlsoiuxfeado5ejs4ay5c4da
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling
The 2006 IEEE International Joint Conference on Neural Network Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A novel inter-neuron communications method for increased scalability of Spiking Neural Networks (SNNs) is presented. ...
Capacitive coupling is used as the communication medium with spike functions replaced by oscillatory bursts. ...
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling Another possible solution is Radio Frequency (RF) wireless interconnect which can be either a free space broadcast ...
doi:10.1109/ijcnn.2006.1716474
fatcat:ct5h3ckvabgxdaxhbvmwlgvscq
Wafer-scale integration of analog neural networks
2008
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This paper introduces a novel design of an artificial neural network tailored for wafer-scale integration. ...
The power consumption of the dense interconnection network providing the necessary communication bandwidth is a critical aspect of the system integration. ...
In contrast to most other VLSI implementations (see [2] for a recent review) the presented neural network is targeted at large-scale network models which are currently limited by the available computing ...
doi:10.1109/ijcnn.2008.4633828
dblp:conf/ijcnn/SchemmelFM08
fatcat:tfqrhjqrcvgu7gna2sk7pz32ii
Advanced technologies for brain-inspired computing
2014
2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The very same devices can also be used for improving connectivity of Neural Networks as demonstrated by an application. ...
Similarly, the high capacitance of Through Silicon Vias can be used to greatly improve analog neurons and reduce their area. ...
The idea is to emulate synaptic functions in large scale neural networks thanks to two PCM devices constituting one synapse as shown in Figure 2 . ...
doi:10.1109/aspdac.2014.6742951
dblp:conf/aspdac/ClermidyHVGBDBT14
fatcat:jdgkb64yibf2hcwhcacajrxmom
Circuit designs for superconducting optoelectronic loop neurons
2018
Journal of Applied Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2018 pre-print arXiv:1805.01947v1 fatcat:ks4kbbtrfzdehj234hnwwgmrryOther Versions
Microscale light-emitting diodes and waveguide networks enable connectivity from a neuron to thousands of synaptic connections, and the use of light for communication enables synchronization of neurons ...
Optical communication achieves high fanout and short delay advantageous for information integration in neural systems. ...
The use of light for communication in neural systems brings advantages at local and global scales. ...
doi:10.1063/1.5038031
fatcat:crgsh6ik5fgdpgte6vvw5ayu24
Optoelectronic Intelligence
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
For large neural systems capable of general intelligence, the attributes of photonics for communication and electronics for computation are complementary and interdependent. ...
Using light for communication enables high fan-out as well as low-latency signaling across large systems with no traffic-dependent bottlenecks. ...
Having made this claim, the burden is upon us to provide evidence of the feasibility of photonic communication in large-scale neural systems. ...
arXiv:2010.08690v1
fatcat:6zrpdxj4bfacld2ewf6lonjnzq
How well do oscillator models capture the behaviour of biological neurons?
2012
The 2012 International Joint Conference on Neural Networks (IJCNN)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The individual oscillators use a pyramidal inter-neuronal gamma architecture designed using a novel evolutionary technique. ...
up communication channels between neuron groups. ...
ACKNOWLEDGMENTS We would like to thank Andreas Fidjeland for his support on the NeMo hardware acceleration. This work is sponsored by EPSRC grant EPIF033516/1 and doctorial award to David Bhowmik. ...
doi:10.1109/ijcnn.2012.6252395
dblp:conf/ijcnn/BhowmikS12
fatcat:5zu73t5o5zhh5imsfmyuj2bm2y
Event-driven simulation of neural population synchronization facilitated by electrical coupling
2007
Biosystems (Amsterdam. Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
of large-scale neural systems. ...
Here we describe briefly an event-driven simulation scheme that uses pre-calculated table-based neuron characterizations to avoid numerical calculations during a network simulation, allowing the simulation ...
The event-driven computation scheme allows the simulation of large-scale spiking networks. ...
doi:10.1016/j.biosystems.2006.09.023
pmid:17079071
fatcat:ghvkhhh56jbw3jmcxnmi2thyge
Modeling of inter-neuronal coupling medium and its impact on neuronal synchronization
2017
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Consequently, braininformation processing can rely on a large number of PID controllers based on the coupling medium properties responsible for the coherent behavior of neurons in a neural network. ...
Our study exploits the inter-neuronal coupling medium and investigates its intrinsic properties in order to get insight into neuronalinformation transmittance and, there from, brain-information processing ...
The curiosity in the coupled neuronal system and neural networks is more often than not due to the complicated behavior of the medium: Indeed, the transmittance of neural signals to different regions in ...
doi:10.1371/journal.pone.0176986
pmid:28486505
pmcid:PMC5423630
fatcat:yx5rqpovafew3dhhryxedldy3y
Artificial synapse network on inorganic proton conductor for neuromorphic systems
2014
Nature Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Here, in-plane oxide-based artificial synapse network coupled by proton neurotransmitters are self-assembled on glass substrates at room-temperature. ...
Such in-plane oxide-based protonic/electronic hybrid synapse network proposed here are interesting for building future neuromorphic systems. ...
The high-pass temporal filtering mimicked here is meaningful for neuromorphic computations or artificial neural network. ...
doi:10.1038/ncomms4158
pmid:24452193
fatcat:g7ubhyd3sraczlqtir7mhlg2rm
Threshnomics: An Introduction to Threshold Logic in Algorithms and Circuits
2014
Journal of computer science and systems biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The suffix 'omics' has been added to the names of many fields to denote studies undertaken on a large scale. Threshold science has become so pervasive in everyday life of making decisions. ...
This paper reflects the wide range of threshold applications in algorithms and circuit design and attempt to correlate the threshold notion through neuronal equivalent operator. ...
In addition, this would also pave way to the design of large scale neuron networks. ...
doi:10.4172/jcsb.1000163
fatcat:sn63vlwbbjhbxbvgqjux2l7uzm
Large-scale neuromorphic computing systems
2016
Journal of Neural Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
SpiNNaker The SpiNNaker project [24] has developed a massively-parallel digital computer whose communication infrastructure is motivated by the objective of modelling large-scale spiking neural networks ...
could potentially be suitable for a wider range of applications characterised by large numbers of relatively simple coupled processes with neuronlike communication properties. ...
doi:10.1088/1741-2560/13/5/051001
pmid:27529195
fatcat:3ffwqgzpafetfgmac6m7ajkrqe
The impact of on-chip communication on memory technologies for neuromorphic systems
2018
Journal of Physics D: Applied Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2018 pre-print arXiv:1809.06016v1 fatcat:t3n66e7pyveeffvdyfydemowhaOther Versions
In this paper, we elaborate on the communication requirements of large-scale neuromorphic designs, and point out the differences with the conventional network-on-chip architectures. ...
We present existing approaches for on-chip neuromorphic routing networks, and discuss how new memory and integration technologies may help to alleviate the communication issues in constructing next-generation ...
Concurrently, neural networks were being used for pattern recognition, where neurons were modeled using the McCulloch-Pitts model [7] . ...
doi:10.1088/1361-6463/aae641
fatcat:kw6alqj6grdlpddvrtocenxwfm
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Building hardware neural emulators can be extremely useful for simulating large-scale neural models to explain how intelligent behavior arises in the brain. ...
Numerous large-scale neuromorphic projects have emerged recently. ...
The primary advantage of using this scheme is that it overcomes a key communication bottleneck that limits scalability for large-scale spiking neural network simulations. ...
arXiv:1805.08932v1
fatcat:xqtzbpp5ubhfrpfhj6sjffi6ii
Suppression of Phase Synchronization in Scale-Free Neural Networks Using External Pulsed Current Protocols
2019
Mathematical and Computational Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Here, through mathematical modeling and numerical approach, we simulated a neural network composed of 5000 bursting neurons in a scale-free connection scheme where non-trivial synchronization phenomenon ...
Through an optimization process, it is possible to suppression the abnormal synchronization in the neural network. ...
Figure 2 . 2 The mean order parameter R as a function of the coupling parameter ε for a scale-free neural network with 5000 identical neurons with randomly distributed initial conditions. ...
doi:10.3390/mca24020046
fatcat:6lk66txarndtbmhvyntrn2zh3m
« Previous
Showing results 1 — 15 out of 1,742 results