15 Hits in 5.5 sec

Solving a steady-state PDE using spiking networks and neuromorphic hardware [article]

J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone
2020 arXiv   pre-print
Here, we leverage the parallel and event-driven structure to solve a steady state heat equation using a random walk method.  ...  The random walk can be executed fully within a spiking neural network using stochastic neuron behavior, and we provide results from both IBM TrueNorth and Intel Loihi implementations.  ...  We leverage this existing result as a base algorithm and extend it via its application to a steady state heat equation.  ... 
arXiv:2005.10904v1 fatcat:oglbktiqa5burdeaoc5s7q5zeq

Neuromorphic scaling advantages for energy-efficient random walk computation [article]

J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone
2021 arXiv   pre-print
Such random walks are useful in Monte Carlo methods, which represent a fundamental computational tool for solving a wide range of numerical computing tasks.  ...  We demonstrate that high-degree parallelism and configurability of spiking neuromorphic architectures makes them well-suited to implement random walks via discrete time Markov chains.  ...  Acknowledgments We thank Steve Plimpton and Andrew Baczewski for reviewing an early version of the manuscript and Adam Moody, Suma Cardwell, and Craig Vineyard for managing access to the TrueNorth and  ... 
arXiv:2107.13057v1 fatcat:6saeb5a4jrhqto5scokhg4x4zq

Randomized Algorithms for Scientific Computing (RASC) [article]

Aydin Buluc, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary Myers, Jelani Nelson (+7 others)
2021 arXiv   pre-print
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science.  ...  challenges of complexity, robustness, and scalability.  ...  Co-design of randomized algorithms with neuromorphic computers could lead to a novel random programming model or help researchers understand and evaluate the parameter space for neuromorphics (e.g., spike  ... 
arXiv:2104.11079v2 fatcat:qwwowtufzvbfjaiotx733eexxe

Inferring and validating mechanistic models of neural microcircuits based on spike-train data

Josef Ladenbauer, Sam McKenzie, Daniel Fine English, Olivier Hagens, Srdjan Ostojic
2019 Nature Communications  
and efficient, even for highly subsampled networks.  ...  Our methods bridge statistical, data-driven and theoretical, model-based neurosciences at the level of spiking circuits, for the purpose of a quantitative, mechanistic interpretation of recorded neuronal  ...  Code availability Python code for our methods and estimation examples are available under a free license at  ... 
doi:10.1038/s41467-019-12572-0 pmid:31666513 pmcid:PMC6821748 fatcat:2daulh2kbjeephhmv7nx7kqpv4

Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems

Jennifer Hasler
2019 Journal of Low Power Electronics and Applications  
The recent availability of programmable and configurable analog technologies, as well as the start of analog numerical analysis, makes considering scaling of analog computation more than a purely theoretical  ...  This discussion develops a theoretical analog architecture framework similar to the well developed digital architecture theory.  ...  Sydney, UCLA, and Caltech in 2018.  ... 
doi:10.3390/jlpea9010004 fatcat:cgycffc65bhmdaky2apedcjxma

28th Annual Computational Neuroscience Meeting: CNS*2019

2019 BMC Neuroscience  
Activity from both the LP and PD neurons of the stomatogastric ganglion of a crab was recorded using intracellular electrodes and sent to a computer through a DAQ device.  ...  A BQ Zum BT-328 board was used, programmed with Arduino code, with three TG9e microservomotors.  ...  With the ongoing development of neuromorphic hardware, simulation of biologically realistic neuronal networks seems viable.  ... 
doi:10.1186/s12868-019-0538-0 fatcat:3pt5qvsh45awzbpwhqwbzrg4su

Inferring and validating mechanistic models of neural microcircuits based on spike-train data [article]

Josef Ladenbauer, Sam McKenzie, Daniel Fine English, Olivier Hagens, Srdjan Ostojic
2018 bioRxiv   pre-print
Evaluations based on simulated data, and validations using ground truth recordings in vitro and in vivo demonstrated that parameter estimation is very accurate, even for highly sub-sampled networks.  ...  Using the maximal-likelihood approach, we statistically infer the mean and variance of hidden inputs, neuronal adaptation properties and connectivity for coupled integrate-and-fire neurons.  ...  the program "Investissements d'Avenir" launched by the French Government and implemented by the ANR, with the references ANR-10-LABX-0087 IEC and ANR-11-IDEX-0001-02 PSL* Research University.  ... 
doi:10.1101/261016 fatcat:bfer6dvltfdqpceadfqkh5b564

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
References Bingmer, M., Schiemann, J., Roeper, J., and Schneider, G. Measuring burstiness and regularity in oscillatory spike trains. J. Neurosci. Meth., in press. Braun, W. J., and Kulperger, R.  ...  Hahne and B. Graimann (Otto Bock HealthCare) for supplying us with data and Armin Biess for fruitful discussions.  ...  We implemented a network of spiking neurons that solves this task using a neuromorphic hardware system, that is, analog neuronal circuits on a silicon substrate.  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Leonid L. Rubchinsky, Sungwoo Ahn, Wouter Klijn, Ben Cumming, Stuart Yates, Vasileios Karakasis, Alexander Peyser, Marmaduke Woodman, Sandra Diaz-Pier, James Deraeve, Eliana Vassena, William Alexander (+473 others)
2017 BMC Neuroscience  
provide us a useful way to solve this problem.  ...  models considers the CC as a three layered network where to the digital neuromorphic hardware SpiNNaker [4] via the PyNN [5] mossy fibres (MFs) and Purkinje cells (PCs) form the input and  ... 
doi:10.1186/s12868-017-0371-2 fatcat:jkqnv4rvfvaj5g44xm5snzdqzy

Roadmap on Spin-Wave Computing [article]

A. V. Chumak, P. Kabos, M. Wu, C. Abert, C. Adelmann, A. Adeyeye, J. Åkerman, F. G. Aliev, A. Anane, A. Awad, C. H. Back, A. Barman (+104 others)
2021 arXiv   pre-print
Each sub-section is prepared by one or a group of authors and concludes with a brief description of the current challenges and the outlook of the further development of the research directions.  ...  In particular, the roadmap discusses the computation operations with Boolean digital data, unconventional approaches like neuromorphic computing, and the progress towards magnon-based quantum computing  ...  CONCLUSION This roadmap is constructed in a self-assembled way and reflects the essential current and future challenges in magnonics.  ... 
arXiv:2111.00365v1 fatcat:rt7cjubtjzfl7ekjuy3u3o73ii

The collective dynamics of adaptive neurons [article]

Josef Ladenbauer, Technische Universität Berlin, Technische Universität Berlin, Klaus Obermayer
and spike-to-spike locking in small networks, and (iii) the dynamics of spike rates across large populations of coupled neurons.  ...  It is therefore important to understand the mechanisms which underlie and control the spiking activity of individual neurons and their collective dynamics in networks.  ...  states and leads to increased network activity.  ... 
doi:10.14279/depositonce-4791 fatcat:q76ztwitzzc3pdbixjw7gnkd3u

Toward Energy-Efficient, Dynamic Stochastic Computing

Siting Liu
In SC, a number is encoded and represented by a stream of random bits or stochastic sequence (e.g., a Bernoulli sequence). Computations can be performed by bit-wise operations on the bit streams.  ...  and Engineering Research Council (NSERC) of Canada.  ...  Moreover, an array of stochastic Laplacian circuits is proposed to solve a larger-scale problem, i.e., a steady-state heat equation.  ... 
doi:10.7939/r3-p2vw-yy63 fatcat:ptdrju5obzh2bpzeb4k3sw7wi4

International Journal of Emerging Trends in Electrical and Electronics (IJETEE) International Journal of Emerging Trends in Electrical and Electronics Efficient PLU Pre-Processing Algorithm with Adaptive Modulation and Coding For MIMO-OFDM Receiver

Cher Tan, Ming, Dhrubes Biswas, Rajesh Gupta, Sumana Gupta, A Saxena, Vijay Kumar, Shaibal Mukherjee, S Parida, Kumar Manoj, Meshram, Satyabratajit (+58 others)
2013 unpublished
The PLU Decomposition algorithm is used to achieve a better matching of the processing rate of MIMO-OFDM receivers to the real-time processing deadlines imposed by the structure of the incoming data packets  ...  Based on the Channel State Information acquired at the receiver, the AMC selector determines the modulation and coding pair for each sub carrier, which is then sent back to the transmitter.  ...  ACKNOWLEDGEMENT The authors would like to thank Indira Gandhi Institute of Technology (GGSIPU) and Bhagwan Parshuram Institute of Technology (GGSIPU) for supporting the activities.  ... 

Irregularity mitigation and portability abstractions for accelerated sparse matrix factorization

Daniel Thürck
Notably, most of the accelerators in use today are optimized for massive parallelism on regular structures and dense data structures.  ...  At the same time, we are witnessing a shift in terms of hardware in the high-performance computing field: as hardware designers try to avoid the quadratically increasing energy consumption for higher clock  ...  This market is powered by a steady infusion of venture capital and moving at a steady pace towards even more exotic architectures in the realm of neuromorphic computing.  ... 
doi:10.26083/tuprints-00017951 fatcat:jhttfyetqnbmvigpltkkt624km

Symmetry-Breaking bifurcations and reservoir computing in regular oscillator networks

André Röhm, Technische Universität Berlin, Technische Universität Berlin, Kathy Lüdge
In the most basic meaning of the word, an oscillator is a system that shows a periodic change in one of its state variables.  ...  A particular focus will be on the emergence of symmetry-broken states in rings of oscillators.  ...  Eckehard Schöll, Yulia Jagodzinski and Roland Aust for providing a fruitful scientific environment in the shape of the 'Collaborative Research Center 910: Control of self-organizing  ... 
doi:10.14279/depositonce-8246 fatcat:3cgtqhfmibaipcttr5prevd2b4