Publication

A lightweight learning-based decoding algorithm for intraneural vagus nerve activity classification in pigs

Publications associées (41)

Learning, Inference, and Replay of Hidden State Sequences in Recurrent Spiking Neural Networks

Learning to recognize, predict, and generate spatio-temporal patterns and sequences of spikes is a key feature of nervous systems, and essential for solving basic tasks like localization and navigation. How this can be done by a spiking network, however, r ...

2014

Multiscale codes in the nervous system: The problem of noise correlations and the ambiguity of periodic scales

Alexander Mathis

Encoding information about continuous variables using noisy computational units is a challenge; nonetheless, asymptotic theory shows that combining multiple periodic scales for coding can be highly precise despite the corrupting influence of noise [Mathis, ...

2013

Materials for neural interfaces

Philippe Renaud

The treatment of disorders of the nervous system poses a major clinical challenge. Development of neuromodulation (i.e., interfacing electronics to nervous tissue to modulate its function) has provided patients with neuronal-related deficits a new tool to ...

2012

Random-access distributed fiber sensing

Luc Thévenaz, Nikolay Primerov, Andrey Denisov

Optical sensing offers an attractive solution to the societal concern for prevention of natural and human-generated threats and for efficient use of natural resources. The unprecedented properties of optical fibers make them ideal for implementing a ‘nervo ...

Wiley-VCH Verlag Berlin2012

Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces

Silvestro Micera, Stanisa Raspopovic, Jacopo Rigosa

Background: The restoration of complex hand functions by creating a novel bidirectional link between the nervous system and a dexterous hand prosthesis is currently pursued by several research groups. This connection must be fast, intuitive, with a high su ...

2011

Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

David Atienza Alonso, Pierre Vandergheynst, Nadia Khaled, Hossein Mamaghanian

Wireless body sensor networks (WBSN) hold the promise to be a key enabling information and communications technology for next-generation patient-centric tele-cardiology or mobile cardiology solutions. Through enabling continuous remote cardiac monitoring, ...

Institute of Electrical and Electronics Engineers2011

Decoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis

Silvestro Micera, Stanisa Raspopovic, Jacopo Rigosa

The possibility of controlling dexterous hand prostheses by using a direct connection with the nervous system is particularly interesting for the significant improvement of the quality of life of patients, which can derive from this achievement. Among the ...

2010

Spike detection algorithm improvement, spike waveforms projections with PCA and hierarchical classification

Diego Ghezzi

Definition of single spikes from multiunit spike trains plays a critical role in neurophysiology and in neuroengineering. Moreover, long period analysis are needed to study synaptic plasticity effects and observe the long and medium term development on whi ...

IEEE2008

Interfacing neurons with carbon nanotubes: electrical signal transfer and synaptic stimulation in cultured brain circuits

Henry Markram, Michele Giugliano, Luca Gambazzi

The unique properties of single-wall carbon nanotubes (SWNTs) and the application of nanotechnology to the nervous system may have a tremendous impact in the future developments of microsystems for neural prosthetics as well as immediate benefits for basic ...

2007

Coding and Learning of behavioral sequences

Wulfram Gerstner, Henry Markram

A major challenge to understanding behavior is how the nervous system allows the learning of behavioral sequences that can occur over arbitrary timescales, ranging from milliseconds up to seconds, using a fixed millisecond learning rule. This article descr ...

2004

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