Piezoelectric energy harvesting solutions R Caliò, UB Rongala, D Camboni, M Milazzo, C Stefanini, G De Petris, ... Sensors 14 (3), 4755-4790, 2014 | 517 | 2014 |
Neuromorphic artificial touch for categorization of naturalistic textures UB Rongala, A Mazzoni, CM Oddo IEEE transactions on neural networks and learning systems 28 (4), 819-829, 2015 | 101 | 2015 |
Intracellular dynamics in cuneate nucleus neurons support self-stabilizing learning of generalizable tactile representations UB Rongala, A Spanne, A Mazzoni, F Bengtsson, CM Oddo, H Jörntell Frontiers in cellular neuroscience 12, 210, 2018 | 31 | 2018 |
Cuneate spiking neural network learning to classify naturalistic texture stimuli under varying sensing conditions UB Rongala, A Mazzoni, A Spanne, H Jörntell, CM Oddo Neural Networks 123, 273-287, 2020 | 15 | 2020 |
Neuromorphic artificial sense of touch: bridging robotics and neuroscience UB Rongala, A Mazzoni, D Camboni, MC Carrozza, CM Oddo Robotics Research: Volume 2, 617-630, 2018 | 13 | 2018 |
Identification of slippage on naturalistic surfaces via wavelet transform of tactile signals RA Romeo, UB Rongala, A Mazzoni, D Camboni, MC Carrozza, ... IEEE Sensors Journal 19 (4), 1260-1268, 2018 | 12 | 2018 |
Tactile decoding of edge orientation with artificial cuneate neurons in dynamic conditions UB Rongala, A Mazzoni, M Chiurazzi, D Camboni, M Milazzo, L Massari, ... Frontiers in neurorobotics 13, 44, 2019 | 11 | 2019 |
A non-spiking neuron model with dynamic leak to avoid instability in recurrent networks UB Rongala, JMD Enander, M Kohler, GE Loeb, H Jörntell Frontiers in computational neuroscience 15, 656401, 2021 | 10 | 2021 |
Decoding of naturalistic textures from spike patterns of neuromorphic artificial mechanoreceptors A Mazzoni, UB Rongala, CM Oddo BMC Neuroscience 16, 1-2, 2015 | 4 | 2015 |
26th annual computational neuroscience meeting (CNS* 2017): Part 3 AJH Newton, AH Seidenstein, RA McDougal, A Pérez-Cervera, G Huguet, ... BMC Neuroscience 18, 1-82, 2017 | 3 | 2017 |
Rich dynamics caused by known biological brain network features resulting in stateful networks UB Rongala, H Jörntell arXiv preprint arXiv:2106.01683, 2021 | 2 | 2021 |
Computer-implemented or hardware-implemented method of entity identification, a computer program product and an apparatus for entity identification U Rongala, H Jörntell US Patent App. 17/635,210, 2022 | 1 | 2022 |
Computer-implemented or hardware-implemented method of entity identification, a computer program product and an apparatus for entity identification U Rongala, H Jörntell US Patent 11,941,510, 2024 | | 2024 |
ECoG activity distribution patterns detects global cortical responses following weak tactile inputs A Mellbin, U Rongala, H Jörntell, F Bengtsson iScience, 2024 | | 2024 |
EEG covariance patterns detects global cortical activity distribution following weak tactile input A Mellbin, UB Rongala, H Jörntell, F Bengtsson bioRxiv, 2023.11. 06.565763, 2023 | | 2023 |
Dynamic neuronal networks efficiently achieve classification in robotic interactions with real-world objects P Uttayopas, X Cheng, UB Rongala, H Jörntell, E Burdet arXiv preprint arXiv:2210.06303, 2022 | | 2022 |
The import of skin tissue dynamics in tactile sensing UB Rongala, A Seyfarth, V Hayward, H Jörntell Cell Reports Physical Science, 2021 | | 2021 |
The dynamics of touch sensing studied in a mass-spring-damper model of the skin U Rongala, A Seyfarth, V Hayward, H Jörntell bioRxiv, 2021.09. 06.459180, 2021 | | 2021 |
Neurocomputational Modelling of Tactile Perception for the Development of Artificial Sense of Touch. UB RONGALA | | 2017 |
Low-pass filter effects in biological neurons as a feature to facilitate representation of tactile information UB Rongala, H Jörntell | | |