What is he best known for?
The fields of study he is best known for:
- Biochemistry
- Neuroscience
- Artificial intelligence
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.
His most cited work include:
- Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development (291 citations)
- Self-organization and neuronal avalanches in networks of dissociated cortical neurons. (271 citations)
- Active pixel sensor array for high spatio-temporal resolution electrophysiological recordings from single cell to large scale neuronal networks (235 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Neuroscience (34.50%)
- Microelectrode (26.50%)
- Electrophysiology (23.00%)
What were the highlights of his more recent work (between 2013-2020)?
- Neuroscience (34.50%)
- Artificial neural network (15.00%)
- Nanotechnology (14.50%)
In recent papers he was focusing on the following fields of study:
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.
Between 2013 and 2020, his most popular works were:
- Network dynamics of 3D engineered neuronal cultures: a new experimental model for in-vitro electrophysiology (98 citations)
- Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks (52 citations)
- A multi-laboratory evaluation of microelectrode array-based measurements of neural network activity for acute neurotoxicity testing ☆ (50 citations)
In his most recent research, the most cited papers focused on:
- Biochemistry
- Artificial intelligence
- Neuroscience
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
- Nerve net which connect with Artificial intelligence, Cortical neurons and Stimulation,
- Degree together with Topology.
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