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Stefano Vassanelli
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2020 – today
- 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
Hodgkin-Huxley Verilog-A Electrical Neuron Membrane Model. ICECS 2022 2022: 1-4 - [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
- [j6]Mattia Tambaro
FPGA Design Integration of a 32-Microelectrodes Low-Latency Spike Detector in a Commercial System for Intracortical Recordings. Digit. 1(1): 34-53 (2021) - [e2]Mufti Mahmud
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
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]
2010 – 2019
- 2019
- [c23]Mattia Tambaro
A 10 MSample/Sec Digital Neural Spike Detection for a 1024 Pixels Multi Transistor Array Sensor. ICECS 2019: 711-714 - [c22]Mattia Tambaro
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
- [j5]Isha Gupta
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
Applications of Deep Learning and Reinforcement Learning to Biological Data. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2063-2079 (2018) - [c21]Xiaying Wang
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. BioCAS 2018: 1-4 - [c20]Xiaying Wang
Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. HealthCom 2018: 1-6 - [c19]Elia A. Vallicelli
Real-time digital implementation of a principal component analysis algorithm for neurons spike detection. ICICDT 2018: 33-36 - 2017
- [j3]Maria Rubega
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) - [c18]Richard George, Giacomo Indiveri, Stefano Vassanelli
Activity dependent structural plasticity in neuromorphic systems. BioCAS 2017: 1-4 - [c17]Elia A. Vallicelli
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 - [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
- [j2]Mufti Mahmud
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) - [c15]Roland Thewes, Gabriel Bertotti, Norman Dodel, Stefan Keil, Sven Schroder, Karl-Heinz Boven, Günther Zeck, Mufti Mahmud
Neural tissue and brain interfacing CMOS devices - An introduction to state-of-the-art, current and future challenges. ISCAS 2016: 1826-1829 - [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
- [c14]Sven Schroder, Claudia Cecchetto, Stefan Keil, Mufti Mahmud
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
Automated analysis of local field potentials evoked by mechanical whisker stimulation in rat barrel cortex. EMBC 2015: 1520-1523 - [c11]Claudia Cecchetto, Mufti Mahmud
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
Three dimensional ALD of TiO2 for in-vivo biomedical sensor applications. IWASI 2015: 21-24 - [c9]Frank Kupfer, Silvia M. Lattanzio
A Si-chip-based system for highly parallel electroporation of cells. IWASI 2015: 25-30 - [c8]Guglielmo Frigo
A software-based platform for multichannel electrophysiological data acquisition. MeMeA 2015: 353-358 - [i1]Isha Gupta, Alexantrou Serb, Ali Khiat, Ralf Zeitler, Stefano Vassanelli, Themistoklis Prodromakis:
Memristive integrative sensors for neuronal activity. CoRR abs/1507.06832 (2015) - 2012
- [j1]Stefano Vassanelli
On the Way to Large-Scale and High-Resolution Brain-Chip Interfacing. Cogn. Comput. 4(1): 71-81 (2012) - [c7]Mufti Mahmud
Single LFP Sorting for High-Resolution Brain-Chip Interfacing. BICS 2012: 329-337 - [c6]Mufti Mahmud
Na+ channels at postsynaptic muscle membrane affects synaptic transmission at Neuromuscular Junction: A simulation study. EMBC 2012: 3616-3619 - [c5]Stefano Vassanelli
CyberRat Probes: High-Resolution Biohybrid Devices for Probing the Brain. Living Machines 2012: 274-285 - 2011
- [c4]Mohammed Mostafizur Rahman, Mufti Mahmud
Sodium channels' kinetics under self-gating condition at neuromuscular junction. BMEI 2011: 990-994 - [c3]Mufti Mahmud
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
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
Coauthor Index
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