E-LIB Suche - Ergebnisse für: Srinivasa, Narayan

1

Comprehensive Integration of Hyperdimensional Computing wit..:

, In: 2023 60th ACM/IEEE Design Automation Conference (DAC),

Lee, Hyunsei ; Kim, Jiseung ; Chen, Hanning... - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

2

Invited Paper: Hyperdimensional Computing for Resilient Edg..:

, In: 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD),

Barkam, Hamza Errahmouni ; Jeon, SungHeon Eavn ; Yun, Sanggeon... - p. 1-8 , 2023

Link: https://doi.org/10.1109/..

3

EventHD: Robust and efficient hyperdimensional learning wit..:

Zou, Zhuowen ; Alimohamadi, Haleh ; Kim, Yeseong...
Frontiers in Neuroscience. 16 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

4

Low-Power Neuromorphic Hardware for Signal Processing Appli..:

Rajendran, Bipin ; Sebastian, Abu ; Schmuker, Michael..
IEEE Signal Processing Magazine. 36 (2019) 6 - p. 97-110 , 2019

Link: https://doi.org/10.1109/..

5

Hypercolumn Sparsification for Low-Power Convolutional Neur..:

Pilly, Praveen K. ; Stepp, Nigel D. ; Liapis, Yannis..
ACM Journal on Emerging Technologies in Computing Systems (JETC). 15 (2019) 2 - p. 1-16 , 2019

Link: https://dl.acm.org/doi/1..

6

Hypercolumn Sparsification for Low-Power Convolutional Neur..:

Pilly, Praveen K. ; Stepp, Nigel D. ; Liapis, Yannis..
ACM Journal on Emerging Technologies in Computing Systems. 15 (2019) 2 - p. 1-16 , 2019

Link: https://doi.org/10.1145/..

7

Loihi: A Neuromorphic Manycore Processor with On-Chip Learn..:

Davies, Mike ; Srinivasa, Narayan ; Lin, Tsung-Han...
IEEE Micro. 38 (2018) 1 - p. 82-99 , 2018

Link: https://doi.org/10.1109/..

8

Learning to Recognize Actions From Limited Training Example..:

Panda, Priyadarshini ; Srinivasa, Narayan
Frontiers in Neuroscience. 12 (2018) - p. , 2018

Link: https://doi.org/10.3389/..

9

Criticality as a Set-Point for Adaptive Behavior in Neuromo..:

Srinivasa, Narayan ; Stepp, Nigel D. ; Cruz-Albrecht, Jose
Frontiers in Neuroscience. 9 (2015) - p. , 2015

Link: https://doi.org/10.3389/..

10

Synaptic Plasticity Enables Adaptive Self-Tuning Critical N..:

Stepp, Nigel ; Plenz, Dietmar ; Srinivasa, Narayan.
PLOS Computational Biology. 11 (2015) 1 - p. e1004043 , 2015

Link: https://doi.org/10.1371/..

11

Erratum to: A methodology for controlling motion and constr..:

De Sapio, Vincent ; Srinivasa, Narayan
Multibody System Dynamics. 33 (2014) 2 - p. 205-205 , 2014

Link: https://doi.org/10.1007/..

12

A methodology for controlling motion and constraint forces ..:

De Sapio, Vincent ; Srinivasa, Narayan
Multibody System Dynamics. 33 (2014) 2 - p. 179-204 , 2014

Link: https://doi.org/10.1007/..

13

Analyzing large-scale spiking neural data with HRLAnalysis™:

Thibeault, Corey M. ; O'Brien, Michael J. ; Srinivasa, Narayan
Frontiers in Neuroinformatics. 8 (2014) - p. , 2014

Link: https://doi.org/10.3389/..

14

Unsupervised discrimination of patterns in spiking neural n..:

Srinivasa, Narayan ; Cho, Youngkwan
Frontiers in Computational Neuroscience. 8 (2014) - p. , 2014

Link: https://doi.org/10.3389/..

15

A novel analytical characterization for short-term plastici..:

O'Brien, Michael J. ; Thibeault, Corey M. ; Srinivasa, Narayan
Frontiers in Computational Neuroscience. 8 (2014) - p. , 2014

Link: https://doi.org/10.3389/..