Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Laxmi R. Iyer"'
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
A major characteristic of spiking neural networks (SNNs) over conventional artificial neural networks (ANNs) is their ability to spike, enabling them to use spike timing for coding and efficient computing. In this paper, we assess if neuromorphic dat
Externí odkaz:
https://doaj.org/article/9276624060a24249a15c354c6a561ba9
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24515bd0f32a93601addeaf6c5f95a03
https://doi.org/10.1109/icassp43922.2022.9746618
https://doi.org/10.1109/icassp43922.2022.9746618
Publikováno v:
Creativity and Innovation ISBN: 9783030771966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bbd82ed8bf1d9e8534b0dad66289126
https://doi.org/10.1007/978-3-030-77198-0_2
https://doi.org/10.1007/978-3-030-77198-0_2
Publikováno v:
Creativity and Innovation ISBN: 9783030771966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d423ce586d048084f2b1a4567b1e9ef
https://doi.org/10.1007/978-3-030-77198-0_8
https://doi.org/10.1007/978-3-030-77198-0_8
Autor:
Adithya Gurunathan, Laxmi R Iyer
Publikováno v:
ICONS
Biologically plausible learning is of interest not only to neuroscientists but also to the neuromorphic community due to local learning rules, and the promise of efficient hardware implementations. Spike timing dependent plasticity is the conventiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e31f1ff85754e7bf790406c26dac15ec
https://doi.org/10.1145/3407197.3407226
https://doi.org/10.1145/3407197.3407226
Autor:
Yansong Chua, Laxmi R. Iyer
Publikováno v:
IJCNN
Although the spike rate of a neuron codes useful information, there is a lot of evidence that information is contained in the precise timing of spikes.Static images have long been used as benchmarks for ANNs. However, in the neuromorphic community no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70befa03da1a1e326da1ce1e4d2cbec8
https://doi.org/10.1109/ijcnn48605.2020.9207474
https://doi.org/10.1109/ijcnn48605.2020.9207474
Autor:
Arindam Basu, Laxmi R. Iyer
The creation of useful categories from data is an important cognitive ability, and from the extensive research on categorization, it is now known that the brain has distinct systems for category learning. In this paper, we present the first spiking n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bbf446c3b348764c001d211729670a0
https://doi.org/10.1101/2020.01.23.916593
https://doi.org/10.1101/2020.01.23.916593
Publikováno v:
ICARCV
In the field of artificial intelligence, neuromorphic computing has been around for several decades. Deep learning has however made much recent progress such that it consistently outperforms neuromorphic learning algorithms in classification tasks in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86dfdf2f10e8fa1b8faa5741d994d0a2
https://doi.org/10.1109/icarcv.2018.8581256
https://doi.org/10.1109/icarcv.2018.8581256
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience, Vol 15 (2021)
A major characteristic of spiking neural networks (SNNs) over conventional artificial neural networks (ANNs) is their ability to spike, enabling them to use spike timing for coding and efficient computing. In this paper, we assess if neuromorphic dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d55dd980620e3eecb6f3c931378a2c20
Autor:
Arindam Basu, Laxmi R. Iyer
Publikováno v:
IJCNN
The remarkable versatility and efficiency of the brain makes it important to understand its principles in order to push the boundaries of modern computing. Many models in neuroscience effectively model the detailed biological properties of the brain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a06df3a9f93a8accffcc0b8ddd034fd2
https://doi.org/10.1109/ijcnn.2017.7966074
https://doi.org/10.1109/ijcnn.2017.7966074