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Journal Articles
- 2021
[j6]Mattia Tambaro
, Marta Bisio, Marta Maschietto, Alessandro Leparulo, Stefano Vassanelli:
FPGA Design Integration of a 32-Microelectrodes Low-Latency Spike Detector in a Commercial System for Intracortical Recordings. Digit. 1(1): 34-53 (2021)- 2018
- [j5]Isha Gupta, Alexantrou Serb, Ali Khiat, Ralf Zeitler, Stefano Vassanelli, Themistoklis Prodromakis:
Sub 100 nW Volatile Nano-Metal-Oxide Memristor as Synaptic-Like Encoder of Neuronal Spikes. IEEE Trans. Biomed. Circuits Syst. 12(2): 351-359 (2018) - [j4]Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli:
Applications of Deep Learning and Reinforcement Learning to Biological Data. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2063-2079 (2018) - 2017
- [j3]Maria Rubega, Claudia Cecchetto, Stefano Vassanelli, Giovanni Sparacino:
Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation. Source Code Biol. Medicine 12(1): 3 (2017) - 2016
- [j2]Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli:
An Automated Method for Characterization of Evoked Single-Trial Local Field Potentials Recorded from Rat Barrel Cortex Under Mechanical Whisker Stimulation. Cogn. Comput. 8(5): 935-945 (2016) - 2012
- [j1]Stefano Vassanelli, Mufti Mahmud, Stefano Girardi, Marta Maschietto:
On the Way to Large-Scale and High-Resolution Brain-Chip Interfacing. Cogn. Comput. 4(1): 71-81 (2012)
Conference and Workshop Papers
- 2023
- [c27]Leonardo Amato, Marta Maschietto, Alessandro Leparulo, Mattia Tambaro, Stefano Vassanelli, Alessandro Sperduti:
Real-time Detection of Evoked Potentials by Deep Learning: a Case Study. ESANN 2023 - 2022
- [c26]Mattia Tambaro, Stefano Vassanelli:
A firing rate independent threshold estimation for neuronal spike detection methods. BioCAS 2022: 583-586 - [c25]Marcos I. Fabietti, Mufti Mahmud, Ahmad Lotfi, Alessandro Leparulo, Roberto Fontana, Stefano Vassanelli, Cristina Fassolato:
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning. BI 2022: 27-39 - [c24]Andrea La Gala, Lorenzo Stevenazzi, Elia A. Vallicelli, Mattia Tambaro, Stefano Vassanelli, Andrea Baschirotto, Marcello De Matteis:
Hodgkin-Huxley Verilog-A Electrical Neuron Membrane Model. ICECS 2022 2022: 1-4 - 2019
- [c23]Mattia Tambaro, Elia A. Vallicelli, David Tomasella, Andrea Baschirotto, Stefano Vassanelli, Marta Maschietto, Marcello De Matteis:
A 10 MSample/Sec Digital Neural Spike Detection for a 1024 Pixels Multi Transistor Array Sensor. ICECS 2019: 711-714 - [c22]Mattia Tambaro, Elia A. Vallicelli, David Tomasella, Andrea Baschirotto, Stefano Vassanelli, Marta Maschietto, Marcello De Matteis:
Real-Time Neural (RT-Neu) Spikes Imaging by a 9375 sample/(sec pixel) 32×32 pixels Electrolyte-Oxide-Semiconductor Biosensor. PRIME 2019: 233-236 - 2018
- [c21]Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini:
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. BioCAS 2018: 1-4 - [c20]Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini:
Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. HealthCom 2018: 1-6 - [c19]Elia A. Vallicelli, Federico Fary, Andrea Baschirotto, Marcello De Matteis, Marco Reato, Marta Maschietto, Federico Rocchi, Stefano Vassanelli, D. Guarrera, Gianmaria Collazuol, Ralf Zeitler:
Real-time digital implementation of a principal component analysis algorithm for neurons spike detection. ICICDT 2018: 33-36 - 2017
- [c18]Richard George, Giacomo Indiveri, Stefano Vassanelli:
Activity dependent structural plasticity in neuromorphic systems. BioCAS 2017: 1-4 - [c17]Elia A. Vallicelli, Marcello De Matteis, Andrea Baschirotto, Michael Rescati, Marco Reato, Marta Maschietto, Stefano Vassanelli, D. Guarrera, Gianmaria Collazuol, R. Zeiter:
Neural spikes digital detector/sorting on FPGA. BioCAS 2017: 1-4 - [c16]Stefano Vassanelli:
Wiring brain and artificial neurons through neural interfaces and memristive synapses: The first steps. IWASI 2017: 30 - 2016
- [c15]Roland Thewes, Gabriel Bertotti, Norman Dodel, Stefan Keil, Sven Schroder, Karl-Heinz Boven, Günther Zeck, Mufti Mahmud, Stefano Vassanelli:
Neural tissue and brain interfacing CMOS devices - An introduction to state-of-the-art, current and future challenges. ISCAS 2016: 1826-1829 - 2015
- [c14]Sven Schroder, Claudia Cecchetto, Stefan Keil, Mufti Mahmud, Evelin Brose, Ozgu Dogan, Gabriel Bertotti, Dirk Wolanski, Bernd Tillack, Jessica Schneidewind, Hassan Gargouri, Michael Arens, Jürgen Bruns, Bernd Szyszka, Stefano Vassanelli, Roland Thewes:
CMOS-compatible purely capacitive interfaces for high-density in-vivo recording from neural tissue. BioCAS 2015: 1-4 - [c13]Richard George, Christian Mayr, Giacomo Indiveri, Stefano Vassanelli:
Event-based softcore processor in a biohybrid setup applied to structural plasticity. EBCCSP 2015: 1-4 - [c12]Maria Rubega, Claudia Cecchetto, Stefano Vassanelli, Giovanni Sparacino:
Automated analysis of local field potentials evoked by mechanical whisker stimulation in rat barrel cortex. EMBC 2015: 1520-1523 - [c11]Claudia Cecchetto, Mufti Mahmud, Stefano Vassanelli:
Anesthesia effect on single local field potentials variability in rat barrel cortex: Preliminary results. EMBC 2015: 4721-4724 - [c10]Sven Schroder, Ozgu Dogan, Jessica Schneidewind, Gabriel Bertotti, Stefan Keil, Hassan Gargouri, Michael Arens, Evelin Brose, Jürgen Bruns, Dirk Wolansky, Bernd Tillack, Stefano Vassanelli, Bernd Szyszka, Roland Thewes:
Three dimensional ALD of TiO2 for in-vivo biomedical sensor applications. IWASI 2015: 21-24 - [c9]Frank Kupfer, Silvia M. Lattanzio, Marta Maschietto, Andras Botos, Marlies Mahnkopf, Jürgen Bruns, Matthias Schreiter, Stefano Vassanelli, Roland Thewes:
A Si-chip-based system for highly parallel electroporation of cells. IWASI 2015: 25-30 - [c8]Guglielmo Frigo, Maria Rubega, G. Lezziero, Roberto Fontana, Claudia Cecchetto, Stefano Vassanelli, Giovanni Sparacino, Matteo Bertocco:
A software-based platform for multichannel electrophysiological data acquisition. MeMeA 2015: 353-358 - 2012
- [c7]Mufti Mahmud, Davide Travalin, Amir Hussain, Stefano Girardi, Marta Maschietto, Florian Felderer, Stefano Vassanelli:
Single LFP Sorting for High-Resolution Brain-Chip Interfacing. BICS 2012: 329-337 - [c6]Mufti Mahmud, Mohammed Mostafizur Rahman, Stefano Vassanelli:
Na+ channels at postsynaptic muscle membrane affects synaptic transmission at Neuromuscular Junction: A simulation study. EMBC 2012: 3616-3619 - [c5]Stefano Vassanelli, Florian Felderer, Mufti Mahmud, Marta Maschietto, Stefano Girardi:
CyberRat Probes: High-Resolution Biohybrid Devices for Probing the Brain. Living Machines 2012: 274-285 - 2011
- [c4]Mohammed Mostafizur Rahman, Mufti Mahmud, Stefano Vassanelli:
Sodium channels' kinetics under self-gating condition at neuromuscular junction. BMEI 2011: 990-994 - [c3]Mufti Mahmud, Stefano Girardi, Marta Maschietto, Elisabetta Pasqualotto, Stefano Vassanelli:
An automated method to determine angular preferentiality using LFPs recorded from rat barrel cortex by brain-chip interface under mechanical whisker stimulation. EMBC 2011: 2307-2310 - [c2]Mohammed Mostafizur Rahman, Mufti Mahmud, Stefano Vassanelli:
Effect of self-gating on action potential firing at neuromuscular junction. EMBC 2011: 4082-4085 - [c1]Stefano Vassanelli:
Brain-Chip Interfaces: The Present and The Future. FET 2011: 61-64
Editorship
- 2022
- [e3]Mufti Mahmud, Jing He, Stefano Vassanelli, André Van Zundert, Ning Zhong:
Brain Informatics - 15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, Proceedings. Lecture Notes in Computer Science 13406, Springer 2022, ISBN 978-3-031-15036-4 [contents] - 2021
- [e2]Mufti Mahmud, M. Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong:
Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings. Lecture Notes in Computer Science 12960, Springer 2021, ISBN 978-3-030-86992-2 [contents] - 2020
- [e1]Mufti Mahmud, Stefano Vassanelli, M. Shamim Kaiser, Ning Zhong:
Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science 12241, Springer 2020, ISBN 978-3-030-59276-9 [contents]
Informal and Other Publications
- 2017
- [i4]Alexantrou Serb, Andrea Corna, Richard George, Ali Khiat, Federico Rocchi, Marco Reato, Marta Maschietto, Christian Mayr, Giacomo Indiveri, Stefano Vassanelli, Themistoklis Prodromakis:
A geographically distributed bio-hybrid neural network with memristive plasticity. CoRR abs/1709.04179 (2017) - [i3]Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli:
Applications of Deep Learning and Reinforcement Learning to Biological Data. CoRR abs/1711.03985 (2017) - 2016
- [i2]Isha Gupta, Alexantrou Serb, Ali Khiat, Ralf Zeitler, Stefano Vassanelli, Themistoklis Prodromakis:
Sub 100nW volatile nano-metal-oxide memristor as synaptic-like encoder of neuronal spikes. CoRR abs/1611.09671 (2016) - 2015
- [i1]Isha Gupta, Alexantrou Serb, Ali Khiat, Ralf Zeitler, Stefano Vassanelli, Themistoklis Prodromakis:
Memristive integrative sensors for neuronal activity. CoRR abs/1507.06832 (2015)
Coauthor Index
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