Sergio Martinoia focuses on Electrophysiology, Neuroscience, Microelectrode, Multielectrode array and Bursting. His Electrophysiology research integrates issues from Artificial neural network, Network model, Artificial intelligence, Cerebral cortex and Biological neural network. His Inhibitory postsynaptic potential study in the realm of Neuroscience interacts with subjects such as Bicuculline, Network dynamics and Neuronal population.
His Microelectrode research incorporates themes from Microsystem, Biological system, Sensor array, Bioelectronics and Biomedical engineering. His work deals with themes such as Optoelectronics, CMOS, Amplifier and Chip, which intersect with Biomedical engineering. His biological study spans a wide range of topics, including Cultured neuronal network, Central nervous system, Neuron and Anatomy.
Neuroscience, Microelectrode, Electrophysiology, Nanotechnology and Bursting are his primary areas of study. His Neuroscience research incorporates elements of Artificial neural network and In vitro. His work on Multielectrode array as part of general Microelectrode study is frequently connected to Planar, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Multielectrode array research is multidisciplinary, incorporating elements of Image resolution and CMOS sensor. His Electrophysiology course of study focuses on Biological neural network and Artificial intelligence, Functional connectivity, Network model and Clustering coefficient. As a part of the same scientific family, Sergio Martinoia mostly works in the field of Nanotechnology, focusing on ISFET and, on occasion, CMOS, Microsystem and Biosensor.
His scientific interests lie mostly in Neuroscience, Artificial neural network, Nanotechnology, Microelectrode and Transfer entropy. His work in the fields of Neuroscience, such as Electrophysiology, Stimulation, In vitro electrophysiology and Bursting, overlaps with other areas such as Precision medicine. His Electrophysiology research is multidisciplinary, incorporating perspectives in Neurophysiology and Neuronal models.
His Artificial neural network study is associated with Artificial intelligence. The study incorporates disciplines such as Optoelectronics, Signal, Interfacing and Coupling in addition to Microelectrode. His studies deal with areas such as Information theory and Theoretical computer science as well as Transfer entropy.
Sergio Martinoia mostly deals with Artificial neural network, Neuroscience, Transfer entropy, Network dynamics and Network topology. His Artificial neural network study integrates concerns from other disciplines, such as Multielectrode array and Pharmacology. Sergio Martinoia studies Neuroscience, focusing on Electrophysiology in particular.
He interconnects Piezoelectricity, Nanoparticle, Ultrasound and Modulation in the investigation of issues within Electrophysiology. The various areas that Sergio Martinoia examines in his Transfer entropy study include Information theory, Theoretical computer science and Joint entropy. His research on Inhibitory postsynaptic potential also deals with topics like
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Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development
Michela Chiappalone;Marco Bove;Alessandro Vato;Mariateresa Tedesco.
Brain Research (2006)
Self-organization and neuronal avalanches in networks of dissociated cortical neurons.
V. Pasquale;P. Massobrio;L.L. Bologna;M. Chiappalone.
Active pixel sensor array for high spatio-temporal resolution electrophysiological recordings from single cell to large scale neuronal networks
Luca Berdondini;Kilian Imfeld;Alessandro Maccione;Mariateresa Tedesco.
Lab on a Chip (2009)
A behavioral macromodel of the ISFET in SPICE
Sergio Martinoia;Giuseppe Massobrio.
Sensors and Actuators B-chemical (2000)
Development of ISFET array-based microsystems for bioelectrochemical measurements of cell populations
Sergio Martinoia;Nicola Rosso;Massimo Grattarola;Leandro Lorenzelli.
Biosensors and Bioelectronics (2001)
Evaluation of the Performance of Information Theory-Based Methods and Cross-Correlation to Estimate the Functional Connectivity in Cortical Networks
Matteo Garofalo;Thierry Nieus;Paolo Massobrio;Sergio Martinoia;Sergio Martinoia.
PLOS ONE (2009)
A novel algorithm for precise identification of spikes in extracellularly recorded neuronal signals.
Alessandro Maccione;Mauro Gandolfo;Paolo Massobrio;Antonio Novellino.
Journal of Neuroscience Methods (2009)
Network dynamics and synchronous activity in cultured cortical neurons.
Michela Chiappalone;Alessandro Vato;Luca Berdondini;Milena Koudelka-Hep.
International Journal of Neural Systems (2007)
Networks of neurons coupled to microelectrode arrays: a neuronal sensory system for pharmacological applications
M Chiappalone;A Vato;M B Tedesco;M Marcoli.
Biosensors and Bioelectronics (2003)
Development of Micro-Electrode Array Based Tests for Neurotoxicity: Assessment of Interlaboratory Reproducibility with Neuroactive Chemicals
Antonio Novellino;Bibiana Scelfo;Taina Palosaari;Anna Price.
Frontiers in Neuroengineering (2011)
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