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
Spatio-temporal Spike Pattern Classification in Neuromorphic Systems
[chapter]
2013
Lecture Notes in Computer Science
Preserved Fulltext
In this paper we evaluate the computational approaches that have been proposed for classifying spatio-temporal sequences of spike-trains, derive the main principles and the key components that are required ...
Such systems typically comprise event-based sensors and multi-neuron chips that encode, transmit, and process signals using spikes. ...
Explicit delay circuits can be implemented in multi-compartmental neuron models to carry out spatio-temporal processing. ...
doi:10.1007/978-3-642-39802-5_23
fatcat:p2q6das46reefacqzdj7qp6ay4
Neuromorphic neural interfaces: from neurophysiological inspiration to biohybrid coupling with nervous systems
2017
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 2019; you can also visit the original URL.
The file type is application/pdf.
Mixed analog/digital neuromorphic VLSI systems are compact, consume little power and operate in real time independently of the size and complexity of the model. Approach. ...
Computation in nervous systems operates with different computational primitives, and on different hardware, than traditional digital computation and is thus subjected to different constraints from its ...
In both of these studies, CPG computational models emulated on neuromorphic hardware were coupled with CPGs from isolated spinal cord kept alive ex vivo.
Lamprey spinal cord. ...
doi:10.1088/1741-2552/aa67a9
pmid:28573983
fatcat:y732323nkbh7rcuy42so35cdnq
Multi-Level Neuromorphic Devices Built on Emerging Ferroic Materials: A Review
2021
Frontiers in Neuroscience
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 2021; you can also visit the original URL.
The file type is application/pdf.
neuromorphic functionalities. ...
In light of the non-destructive nature and the relatively simple physical process of multi-domain switching, we envision that ferroic-based multi-state devices provide an alternative pathway toward energy ...
FIGURE 8 | 8 (A) Crossbar implementation of multi-level FeFET cells for neuromorphic computing. ...
doi:10.3389/fnins.2021.661667
pmid:33994935
pmcid:PMC8115403
fatcat:53iad2znyffszeu2oes2fow4wm
Regenerative memory in time-delayed neuromorphic photonic systems
[article]
2015
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.
FitzHugh-Nagumo model with delayed feedback. ...
We investigate a regenerative memory based upon a time-delayed neuromorphic photonic oscillator and discuss the link with temporal localized structures. ...
neuron with a delayed coupling representing an autaptic connection as seen in Fig. 1a) . ...
arXiv:1503.07781v1
fatcat:ppepvdvm25ettdfcmpmfoysx2q
Neuromorphic photonic networks using silicon photonic weight banks
2017
Scientific Reports
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.
Other Versions
At increased scale, Neuromorphic silicon photonics could access new regimes of ultrafast information processing for radio, control, and scientific computing. ...
We report first observations of a recurrent silicon photonic neural network, in which connections are configured by microring weight banks. ...
Reservoirs can thus derive complexity from physical processes that are difficult to model or reproduce, such as coupled amplifiers 66 , coupled nonlinear MRRs 67 , time-delayed dynamics in fibers 64 ...
doi:10.1038/s41598-017-07754-z
pmid:28784997
pmcid:PMC5547135
fatcat:5g5gfnspcfespculrsdwbizdfi
Photonic neuromorphic technologies in optical communications
2022
Nanophotonics
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 2022; you can also visit the original URL.
The file type is application/pdf.
Machine learning (ML) and neuromorphic computing have been enforcing problem-solving in many applications. ...
In the main part, I review the latest neuromorphic computing proposals that specifically apply to photonic hardware and give new perspectives on addressing signal processing in optical communications. ...
Photonic neuromorphic computing in optical communications It was only the last decade when the first designs and implementations in photonic or optoelectronic reservoir computing were proposed. ...
doi:10.1515/nanoph-2021-0578
fatcat:dykdgrpzabbl5hocs6xdzvwgzu
Closed-loop control of a modular neuromorphic biohybrid
[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.
Using a closed-loop control to monitor the activity of the coupled hybrid, we show that both modules are congruently modified, in the macroscopic as well as the microscopic activity levels. ...
Overall, this strategy provides an experimental access to the controllability of neural activity irregularities, when embedded in a modular organization. ...
So far, the neuromorphic approach has been successful in implementations of sensory functions (e.g. visual processing [20] ) and computational functions that rely on building blocks of brain processing ...
arXiv:1802.07905v1
fatcat:m7luirtks5gkhj444s7jpga6e4
Regenerative memory in time-delayed neuromorphic photonic resonators
2016
Scientific Reports
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.
We investigate a photonic regenerative memory based upon a neuromorphic oscillator with a delayed self-feedback (autaptic) connection. ...
We link our experimental implementation, based upon a nanoscale nonlinear resonant tunneling diode driving a laser, to the paradigm of neuronal activity, the FitzHugh-Nagumo model with delayed feedback ...
Acknowledgements We would like to thank Gary Ternent, University of Glasgow, UK, for the fabrication of the RTD devices employed in this work, Charles Ironside, Curtin University, Perth, Western Australia ...
doi:10.1038/srep19510
pmid:26781583
pmcid:PMC4726037
fatcat:agqpizndk5bsddbxwfpsagf4aq
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
[article]
2017
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.
Other Versions
In this paper, we evaluate deep learning models using three different computing architectures to address these problems: quantum computing to train complex topologies, high performance computing (HPC) ...
layer-based topologies; and a neuromorphic computer can represent the complex topology and weights derived from the other architectures in low power memristive hardware. ...
And for the programmable delay chain, we collected energy data for each spike existing in the delay chain. ...
arXiv:1703.05364v2
fatcat:s7ltbnkktnd7jovpjgpkfdozkm
Neuromorphic sensory systems
2010
Current Opinion in Neurobiology
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.
Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. ...
By emulating the neuronal organization and function of nervous systems in electronic devices, neuromorphic engineers hope to harness the brain's efficient and powerful style of physical computation for ...
Baker; and the NSF Telluride Neuromorphic Cognitive Engineering Workshop. ...
doi:10.1016/j.conb.2010.03.007
pmid:20493680
fatcat:zgtlwtysj5e25pp5ejrsctd4tu
A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks
2019
Frontiers in Neuroscience
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.
Overall, we provide an experimental model for neuromorphic-neural interfaces, hopefully to advance the capability to interface with neural activity, and with its irregularities in pathology. ...
This network is coupled to a neural network in vitro, where the activities of both the biological and the hardware networks can be recorded, processed, and integrated bidirectionally in real-time. ...
DISCUSSION We present a setup for coupling a biological neural network with a neuromorphic hardware network. ...
doi:10.3389/fnins.2019.00432
pmid:31133779
pmcid:PMC6517490
fatcat:klgtpn4gtjgh7imlan2xtkxwja
Critical neuromorphic computing based on explosive synchronization
2019
Chaos
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:1810.10944v1 fatcat:nmfcumcn7bf6lk77i2xgzrigfy
This work provides a systematic way to encode computing in a large size coupled oscillators, which may be useful in designing neuromorphic devices. ...
In this work, we present a neuromorphic computing algorithm based on oscillator synchronization in a critical regime. ...
The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ...
doi:10.1063/1.5086902
fatcat:ix57czorbzbcrbj2ymugycypaq
Photonic spike processing: ultrafast laser neurons and an integrated photonic network
[article]
2014
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.
Whereas neuromorphic engineering exploits the biophysics of neuronal computation algorithms to provide a wide range of computing and signal processing applications, photonics offer an alternative approach ...
The marriage of two vibrant fields---photonics and neuromorphic processing---is fundamentally enabled by the strong analogies within the underlying physics between the dynamics of biological neurons and ...
The LIF model with a synaptic variable, coupled with tunable routing in a passive SOI network on a scalable platform, could open computational domains that demand unprecedented temporal precision, power ...
arXiv:1407.2917v1
fatcat:ybesvgvrizbi7jbvy642diteja
Predicting voluntary movements from motor cortical activity with neuromorphic hardware
2017
IBM Journal of Research and Development
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.
The network runs on neuromorphic hardware and performs its computations in a purely spike-based fashion. It incorporates an insect-brain-inspired, three-layer architecture with 176 neurons. ...
Our results provide a proof of concept for the first-time use of a neuromorphic device for decoding movement intentions. ...
Riehle is Research Director at the CNRS and studies higher cortical processes involved in movement preparation and execution and visuomotor integration by using massively parallel multi-electrode recording ...
doi:10.1147/jrd.2017.2656063
fatcat:v5hqeqgg75hz5ebfzy34eynszy
Emulating Dendritic Computing Paradigms on Analog Neuromorphic Hardware
2021
Neuroscience
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 2022; you can also visit the original URL.
The file type is application/pdf.
BrainScaleS-2 is an accelerated and highly configurable neuromorphic system with physical models of neurons and synapses. ...
In this paper, three multi-compartment neuron morphologies are chosen to demonstrate passive propagation of postsynaptic potentials, spatio-temporal coincidence detection of synaptic inputs in a dendritic ...
is similar to multi-layered networks of point neurons and illustrates the computational power of multi-compartment neurons. ...
doi:10.1016/j.neuroscience.2021.08.013
pmid:34428499
fatcat:n2ipcdco2jgovbc2omxip2cage
« Previous
Showing results 1 — 15 out of 1,150 results