1,721,141 research outputs found
Modeling CarbonNanoTube-ISFET junction to investigate Electrophysiological Neuronal Activity
Carbon nanotubes arranged in vertical alignment and normal direction to the gate insulator of an ion-sensitive field-effect transistor are proposed as electrical interfaces to neurons, and a model of such a system is developed to simulate and analyze the electrical interactions and the induced extracellular neuronal electrical activity. The results pointed out nanotubes act on the amplitude and the shape of the recorded signals and promote an increase in the efficacy of neuronal signal transmission
A self-adapting approach for the detection of bursts and network bursts in neuronal cultures
Effects of NMDA and non-NMDA receptors antagonists on the dynamic behavior of cultured cortical networks.
pH-dependent charge density at the insulator-electrolyte interface probed by a scanning force microscope
Integrated low noise signal conditioning interface for neuroengineering applications
the birth of Neuroengineering, a new research field recently introduced
by the synergic overlap between neuroscience and electronic engineering
disciplines, injected a great enthusiasm in researchers. In fact, it opened a new
perspective for addressing complex problems such as the understanding of the
brain functions and the development of novel and advanced brain-computers. In
this article, we offer a brief overview on implementations of integrated interface
systems for neurobiological and electrophysiological in-vitro applications. After,
we propose a system, still under development, aimed to achieving some hundreds
of input channels. The architecture comprises a low-noise preamplifier stage and
exhibits - for each channel - a power consumption of 90.05 μW and a silicon area
of about 0.17 mm2. Work is currently in progress to implement a fully integrated
recording circuitry
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