| Federated neuromorphic learning of spiking neural networks for low-power edge intelligence N Skatchkovsky, H Jang, O Simeone ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 35 | 2020 |
| Identifying neural substrates of competitive interactions and sequence transitions during mechanosensory responses in Drosophila JB Masson, F Laurent, A Cardona, C Barré, N Skatchkovsky, M Zlatic, ... PLoS genetics 16 (2), e1008589, 2020 | 34 | 2020 |
| Neuromorphic wireless cognition: Event-driven semantic communications for remote inference J Chen, N Skatchkovsky, O Simeone IEEE Transactions on Cognitive Communications and Networking 9 (2), 252-265, 2023 | 26 | 2023 |
| Spiking neural networks—Part II: Detecting spatio-temporal patterns N Skatchkovsky, H Jang, O Simeone IEEE Communications Letters 25 (6), 1741-1745, 2021 | 26 | 2021 |
| Neuromorphic integrated sensing and communications J Chen, N Skatchkovsky, O Simeone IEEE Wireless Communications Letters 12 (3), 476-480, 2022 | 21 | 2022 |
| End-to-end learning of neuromorphic wireless systems for low-power edge artificial intelligence N Skatchkovsky, H Jang, O Simeone 2020 54th Asilomar Conference on Signals, Systems, and Computers, 166-173, 2020 | 20 | 2020 |
| Learning to time-decode in spiking neural networks through the information bottleneck N Skatchkovsky, O Simeone, H Jang arXiv preprint arXiv:2106.01177, 2021 | 19 | 2021 |
| VOWEL: A local online learning rule for recurrent networks of probabilistic spiking winner-take-all circuits H Jang, N Skatchkovsky, O Simeone 2020 25th International Conference on Pattern Recognition (ICPR), 4597-4604, 2021 | 16 | 2021 |
| Optimizing pipelined computation and communication for latency-constrained edge learning N Skatchkovsky, O Simeone IEEE Communications Letters 23 (9), 1542-1546, 2019 | 16 | 2019 |
| Bayesian continual learning via spiking neural networks N Skatchkovsky, H Jang, O Simeone Frontiers in Computational Neuroscience 16, 1037976, 2022 | 15 | 2022 |
| BiSNN: training spiking neural networks with binary weights via bayesian learning H Jang, N Skatchkovsky, O Simeone 2021 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2021 | 15 | 2021 |
| Spiking neural networks—Part III: Neuromorphic communications N Skatchkovsky, H Jang, O Simeone IEEE Communications Letters 25 (6), 1746-1750, 2021 | 15 | 2021 |
| Spiking neural networks—Part I: Detecting spatial patterns H Jang, N Skatchkovsky, O Simeone IEEE Communications Letters 25 (6), 1736-1740, 2021 | 10 | 2021 |
| Towards the application of neuromorphic computing to satellite communications F Ortiz, E Lagunas, W Martins, T Dinh, N Skatchkovsky, O Simeone, ... 39th International Communications Satellite Systems Conference (ICSSC 2022 …, 2022 | 6 | 2022 |
| Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing F Ortiz, N Skatchkovsky, E Lagunas, WA Martins, G Eappen, S Daoud, ... IEEE Transactions on Machine Learning in Communications and Networking, 2024 | 3 | 2024 |
| Bayesian inference on binary spiking networks leveraging nanoscale device stochasticity P Katti, N Skatchkovsky, O Simeone, B Rajendran, BM Al-Hashimi 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 3 | 2023 |
| Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications E Lagunas, F Ortiz, G Eappen, S Daoud, WA Martins, J Querol, ... arXiv preprint arXiv:2401.06911, 2024 | 2 | 2024 |
| A Biologically Inspired Attention Model for Neural Signal Analysis N Skatchkovsky, N Glazman, S Sadeh, F Iacaruso bioRxiv, 2024.08. 13.607787, 2024 | | 2024 |
| Satellite Adaptive Onboard Beamforming Using Neuromorphic Processors W Alves-Martins, E Lagunas, N Skatchkovsky, FG ORTIZ GOMEZ, ... IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2024 | | 2024 |
| Communication-Efficient and Neuromorphic Edge Intelligence N Skatchkovsky King's College London, 2022 | | 2022 |
Osvaldo SimeoneKing's College LondonVerified email at kcl.ac.uk
