Items where Author is "Vassanelli, S"

Journal article

FABIETTI, M., MAHMUD, M., LOTFI, A., LEPARULO, A., FONTANA, R., VASSANELLI, S. and FASOLATO, C., 2023. Early detection of Alzheimer’s disease from cortical and hippocampal local field potentials using an ensembled machine learning model. IEEE Transactions on Neural Systems and Rehabilitation Engineering. ISSN 1534-4320

LEPARULO, A., MAHMUD, M., SCREMIN, E., POZZAN, T., VASSANELLI, S. and FASOLATO, C., 2019. Dampened slow oscillation connectivity anticipates amyloid deposition in the PS2APP mouse model of Alzheimer’s disease. Cells, 9 (1): 54. ISSN 2073-4409

MAHMUD, M., KAISER, M.S., HUSSAIN, A. and VASSANELLI, S., 2018. Applications of deep learning and reinforcement learning to biological data. IEEE Transactions on Neural Networks and Learning Systems, 29 (6), pp. 2063-2079. ISSN 2162-237X

FONTANA, R., AGOSTINI, M., MURANA, E., MAHMUD, M., SCREMIN, E., RUBEGA, M., SPARACINO, G., VASSANELLI, S. and FASOLATO, C., 2017. Early hippocampal hyperexcitability in PS2APP mice: role of mutant PS2 and APP. Neurobiology of Aging, 50, pp. 64-76. ISSN 0197-4580

MAHMUD, M., CECCHETTO, C. and VASSANELLI, S., 2016. An automated method for characterization of evoked single-trial local field potentials recorded from rat barrel cortex under mechanical whisker stimulation. Cognitive Computation, 8 (5), pp. 935-945. ISSN 1866-9956

MAHMUD, M. and VASSANELLI, S., 2016. Processing and analysis of multichannel extracellular neuronal signals: state-of-the-art and challenges. Frontiers in Neuroscience, 10: 248. ISSN 1662-453X

MAHMUD, M. and VASSANELLI, S., 2016. Differential modulation of excitatory and inhibitory neurons during periodic stimulation. Frontiers in Neuroscience, 10: 62. ISSN 1662-453X

VASSANELLI, S. and MAHMUD, M., 2016. Trends and challenges in neuroengineering: toward "Intelligent" neuroprostheses through brain-"brain inspired systems" communication. Frontiers in Neuroscience, 10: 438. ISSN 1662-453X

MAHMUD, M., BERTOLDO, A., GIRARDI, S., MASCHIETTO, M. and VASSANELLI, S., 2012. SigMate: a MATLAB-based automated tool for extracellular neuronal signal processing and analysis. Journal of Neuroscience Methods, 207 (1), pp. 97-112. ISSN 0165-0270

VASSANELLI, S., MAHMUD, M., GIRARDI, S. and MASCHIETTO, M., 2012. On the way to large-scale and high-resolution brain-chip interfacing. Cognitive Computation, 4 (1), pp. 71-81. ISSN 1866-9956

MAHMUD, M., TRAVALIN, D., BERTOLDO, A., GIRARDI, S., MASCHIETTO, M. and VASSANELLI, S., 2012. An automated classification method for single sweep local field potentials recorded from rat barrel cortex under mechanical whisker stimulation. Journal of Medical and Biological Engineering, 32 (6), pp. 397-404. ISSN 1609-0985

MAHMUD, M., PASQUALOTTO, E., BERTOLDO, A., GIRARDI, S., MASCHIETTO, M. and VASSANELLI, S., 2011. An automated method for detection of layer activation order in information processing pathway of rat barrel cortex under mechanical whisker stimulation. Journal of Neuroscience Methods, 196 (1), pp. 141-150. ISSN 0165-0270

Chapter in book

FABIETTI, M., MAHMUD, M., LOTFI, A., LEPARULO, A., FONTANA, R., VASSANELLI, S. and FASSOLATO, C., 2022. Detection of healthy and unhealthy brain states from local field potentials using machine learning. In: M. MAHMUD, J. HE, S. VASSANELLI, A. VAN ZUNDERT and N. ZHONG, eds., Brain informatics. Proceedings of the 15th International Conference, BI 2022, Padua, Italy, July 15–17 2022. Lecture notes in computer science (13406). Cham: Springer International Publishing, pp. 27-39. ISBN 9783031150364