Prof. Maurizio Valle Profile

Prof. Maurizio Valle

at Univ degli Studi di Genova

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 20 May 2009 Paper

Bio-inspired tactile sensing arrays

Ravinder Dahiya, Maurizio Valle, Giorgio Metta, Leandro Lorenzelli

Proceedings Volume 7365, 73650D (2009) https://doi.org/10.1117/12.821696

KEYWORDS: Polymers, Sensors, Field effect transistors, Polymer thin films, Ferroelectric polymers, Spatial resolution, Capacitance, Robotics, Skin, Transistors

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Proceedings Article | 3 April 2008 Paper

Modeling of lossy piezoelectric polymers in SPICE

Ravinder Dahiya, Maurizio Valle, Giorgio Metta, Leandro Lorenzelli

Proceedings Volume 6926, 69260Y (2008) https://doi.org/10.1117/12.776839

KEYWORDS: Polymers, Dielectrics, Transducers, Acoustics, Capacitors, Particles, Capacitance, Performance modeling, Electronics, Resistors

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Proceedings Article | 29 June 2005 Paper

Integrated low noise low power interface for neural bio-potentials recording and conditioning

Emanuele Bottino, Sergio Martinoia, Maurizio Valle

Proceedings Volume 5839, (2005) https://doi.org/10.1117/12.607938

KEYWORDS: Neurons, Multiplexers, Interference (communication), Interfaces, Silicon, Bandpass filters, Linear filtering, Amplifiers, In vitro testing, Analog electronics

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The recent progress in both neurobiology and microelectronics suggests the creation of new, powerful tools to investigate the basic mechanisms of brain functionality. In particular, a lot of efforts are spent by scientific community to define new frameworks devoted to the analysis of in-vitro cultured neurons. One possible approach is recording their spiking activity to monitor the coordinated cellular behaviour and get insights about neural plasticity. Due to the nature of neurons action-potentials, when considering the design of an integrated microelectronic-based recording system, a number of problems arise. First, one would desire to have a high number of recording sites (i.e. several hundreds): this poses constraints on silicon area and power consumption. In this regard, our aim is to integrate-through on-chip post-processing techniques-hundreds of bio-compatible microsensors together with CMOS standard-process low-power (i.e. some tenths of uW per channel) conditioning electronics. Each recording channel is provided with sampling electronics to insure synchronous recording so that, for example, cross-correlation between signals coming from different sites can be performed. Extra-cellular potentials are in the range of [50-150] uV, so a comparison in terms of noise-efficiency was carried out among different architectures and very low-noise pre-amplification electronics (i.e. less than 5 uVrms) was designed. As spikes measurements are made with respect to the voltage of a reference electrode, we opted for an AC-coupled differential-input preamplifier provided with band-pass filtering capability. To achieve this, we implemented large time-constant (up to seconds) integrated components in the preamp feedback path. Thus, we got rid also of random slow-drifting DC-offsets and common mode signals. The paper will present our achievements in the design and implementation of a fully integrated bio-abio interface to record neural spiking activity. In particular, preliminary results will be reported.

Conference Committee Involvement (3)

Bioengineered and Bioinspired Systems

2 May 2007 | Maspalomas, Gran Canaria, Spain

Bioengineered and Bioinspired Systems II

9 May 2005 | Sevilla, Spain

Bioengineered and Bioinspired Systems

19 May 2003 | Maspalomas, Gran Canaria, Canary Islands, Spain

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