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A novel bioelectronic glucose sensor to process distinct electrical activities of pancreatic beta-cells

Quang Vinh Nguyen, Anton Caro, Matthieu Raoux, Adam Quotb, Jean-Baptiste Floderer, Yannick Bornat, Sylvie Renaud, Jochen Lang
2013 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
Using this system, we have demonstrated on-line and real-time wavelet filtering and AP detection on 60 parallel channels [6, 8, 9] .  ...  These rapid spikes correspond to action potentials which we had demonstrated previously and described in detail their on-line analysis in real time [9] .  ... 
doi:10.1109/embc.2013.6609465 pmid:24109652 dblp:conf/embc/NguyenCRQFBRL13 fatcat:gopv7u7mdre2fd5rurhrks5ryu

Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals

Antoine Pirog, Yannick Bornat, Romain Perrier, Matthieu Raoux, Manon Jaffredo, Adam Quotb, Jochen Lang, Noëlle Lewis, Sylvie Renaud
2018 Sensors  
They demonstrate the system's configurability, its multi-channel, real-time processing, and its feedback control capabilities.  ...  With that aim, we designed Multimed, which is a versatile hardware platform for the real-time recording and processing of biosignals.  ...  Conclusions Our architecture demonstrated its accuracy in real-time, long-term [4, 21, [33] [34] [35] 39] experiments.  ... 
doi:10.3390/s18072099 pmid:29966339 pmcid:PMC6069272 fatcat:ukdul5rc6rduxcgbwaw6wbmebi

In vitro large-scale experimental and theoretical studies for the realization of bi-directional brain-prostheses

Paolo Bonifazi, Francesco Difato, Paolo Massobrio, Gian L. Breschi, Valentina Pasquale, Timothée Levi, Miri Goldin, Yannick Bornat, Mariateresa Tedesco, Marta Bisio, Sivan Kanner, Ronit Galron (+3 others)
2013 Frontiers in Neural Circuits  
Finally the implementation of a neuromorphic chip reproducing the network dynamics in quasi-real time (10 ns precision) is presented.  ...  attention on the impact on the functional organization of the circuits; (iii) the first production of a neuromorphic chip able to implement a real-time model of neuronal networks.  ...  Marco de Curtis for helpful discussion about the in vitro guinea pig whole brain preparation and recording; Prof. Sergio Martinoia, Prof. Sylvie Renaud, Prof. Eshel Ben-Jacob, Prof.  ... 
doi:10.3389/fncir.2013.00040 pmid:23503997 pmcid:PMC3596784 fatcat:oo225zxhprchfhf2gobo2most4

A neuromorphic prosthesis to restore communication in neuronal networks

Stefano Buccelli, Yannick Bornat, Ilaria Colombi, Matthieu Ambroise, Laura Martines, Valentina Pasquale, Marta Bisio, Jacopo Tessadori, Przemysław Nowak, Filippo Grassia, Alberto Averna, Mariateresa Tedesco (+5 others)
2019 iScience  
a real-time hardware neuromorphic Spiking Neural Network.  ...  We demonstrate here a real-time hardware neuromorphic prosthesis to restore bidirectional interactions between two neuronal populations, even when one is damaged or missing.  ...  of living neural networks and for performing useful real-time hybrid experiments.  ... 
doi:10.1016/j.isci.2019.07.046 pmid:31421595 pmcid:PMC6706626 fatcat:n2lk5zws3nfulobeckryb3vqn4

Towards an Accurate Identification of Pyloric Neuron Activity with VSDi [chapter]

Filipa dos Santos, Peter Andras, K. P. Lam
2017 Lecture Notes in Computer Science  
Voltage-sensitive dye imaging (VSDi) which enables simultaneous optical recording of many neurons in the pyloric circuit of the stomatogastric ganglion is an important technique to supplement electrophysiological  ...  However, utilising the technique to identify pyloric neurons directly is a computationally exacting task that requires the development of sophisticated signal processing procedures to analyse the tri-phasic  ...  Consequently, robust signal processing methods are needed to identify the network activities at a single-cell level, to facilitate analysing these spike trains (e.g. burst and network burst detection)  ... 
doi:10.1007/978-3-319-68600-4_15 fatcat:eiooh6zg2ng4zdtoyetfbv74wy

A neuroprosthetic system to restore neuronal communication in modular networks [article]

Stefano Buccelli, Yannick Bornat, Ilaria Colombi, Matthieu Ambroise, Laura Martines, Valentina Pasquale, Marta Bisio, Jacopo Tessadori, Przemyslaw Nowak, Filippo Grassia, Alberto Averna, Mariateresa Tedesco (+5 others)
2019 bioRxiv   pre-print
bidirectional bridging to replace the activity of one module with a neuromorphic spiking neural network.  ...  To develop energy-efficient and real-time capable devices, neuromorphic computing systems are envisaged as the core of next-generation neurobiohybrid systems for brain repair.  ...  (B), Hardware spike detection 1235 architecture embedded in the FPGA. SWT represents the wavelet-based signal enhancement 1236 (stationary wavelet transform).  ... 
doi:10.1101/514836 fatcat:xjhbukbfmrhk5lkzt3s6nq2qhu

Plasticity and Adaptation in Neuromorphic Biohybrid Systems

Richard George, Michela Chiappalone, Michele Giugliano, Timothée Levi, Stefano Vassanelli, Johannes Partzsch, Christian Mayr
2020 iScience  
The recent years have seen both advances in the theoretical aspects of spiking neural networks for their use in classification and control tasks and a progress in electrophysiological methods that is pushing  ...  the frontiers of intelligent neural interfacing and signal processing technologies.  ...  ., and C.M.) and project ''IN-FET'' (GA n. 862882 to M.G.).  ... 
doi:10.1016/j.isci.2020.101589 pmid:33083749 pmcid:PMC7554028 fatcat:a7iwoyllezdwbor5chqfym45pq

Motor-commands decoding using peripheral nerve signals: a review

Keum-Shik Hong, Nida Aziz, Usman Ghafoor
2018 Journal of Neural Engineering  
If these signals could be used, they might allow nearnatural and intuitive control of prosthetic limbs with multiple degrees of freedom.  ...  The peripheral nerves provide access to highly processed and segregated neural command signals from the brain that can in principle be used to determine user intent and control muscles.  ...  Another similar algorithm was proposed and tested for spike sorting and detection on data recorded from in vitro 2D neural networks. This method was based on wavelet packet decomposition [140] .  ... 
doi:10.1088/1741-2552/aab383 pmid:29498358 fatcat:uvh3wcjb3jc4vbce6hi2nrhdiq

Automated quantification of neuronal networks and single-cell calcium dynamics using calcium imaging

Tapan P. Patel, Karen Man, Bonnie L. Firestein, David F. Meaney
2015 Journal of Neuroscience Methods  
using a template-based algorithm in comparison to peak-based or wavelet-based detection methods.  ...  FluoroSNNAP integrates and improves upon existing tools for spike detection, synchronization analysis, and inference of functional connectivity, making it most useful to experimentalists with little or  ...  Wavelet transform decomposes a time-varying signal into its frequency and time components.  ... 
doi:10.1016/j.jneumeth.2015.01.020 pmid:25629800 pmcid:PMC5553047 fatcat:irhyivqrmbfq5g7cdv6uaa346m

Efficient neural spike sorting using data subdivision and unification

Masood Ul Hassan, Rakesh Veerabhadrappa, Asim Bhatti, Alexandros Iosifidis
2021 PLoS ONE  
Neural spike sorting is prerequisite to deciphering useful information from electrophysiological data recorded from the brain, in vitro and/or in vivo.  ...  Both supervised and unsupervised clustering algorithms do perform well when the data to quantify is small, however, their efficiency degrades with the increase in the data size in terms of processing time  ...  Whereas, in in-vitro approach, neurons are cultured on the separate dishes integrated with microelectrodes [22] .  ... 
doi:10.1371/journal.pone.0245589 pmid:33566859 fatcat:3mljk2ofubgzdeh4zq3i5kobea

Fluctuations in Oscillation Frequency Control Spike Timing and Coordinate Neural Networks

M. X. Cohen
2014 Journal of Neuroscience  
Simulations of biophysically detailed neuron models show that frequency sliding modulates spike threshold and timing variability, as well as coincidence detection.  ...  Frequency sliding is demonstrated in simulated neural networks and in human EEG data during a visual task.  ...  The median filter is a nonparametric signal-processing approach for dealing with noise spikes in images or time series.  ... 
doi:10.1523/jneurosci.0261-14.2014 pmid:24990919 pmcid:PMC6608248 fatcat:pvuh5cklzned7owa2p67h5jtm4

Connectivity estimation of high dimensional data recorded from neuronal cells [article]

Stefano De Blasi
2020 arXiv   pre-print
After a successful evaluation with in silico networks, in vitro experiments and their analyses complete this project.  ...  Based on cross-correlation and edge filtering at different time scales this method is proposed and the theoretical framework is outlined in this work.  ...  Since a log normal distribution for intracortical spontaneous MFRs was already demonstrated [52] , many neurons fire far above network average in biological in vitro cultures.  ... 
arXiv:2005.07083v1 fatcat:fypis4uiejfehpy7eqqkexqlxu

Simple and Inexpensive Paper-Based Astrocyte Co-culture to Improve Survival of Low-Density Neuronal Networks

Mathias J. Aebersold, Greta Thompson-Steckel, Adriane Joutang, Moritz Schneider, Conrad Burchert, Csaba Forró, Serge Weydert, Hana Han, János Vörös
2018 Frontiers in Neuroscience  
Cultures exhibited spontaneous spiking even at the very low densities, with a significantly greater spike frequency per cell compared to control mono-cultures.  ...  There was significant improvement in neuronal viability after 5 days in vitro at densities ranging from 50,000 cells/cm 2 down to isolated cells at 1,000 cells/cm 2 .  ...  us with rat cortical tissue.  ... 
doi:10.3389/fnins.2018.00094 pmid:29535595 pmcid:PMC5835045 fatcat:weg7z7pkmfgl3l5fllk36jwk44

Revealing neuronal function through microelectrode array recordings

Marie Engelene J. Obien, Kosmas Deligkaris, Torsten Bullmann, Douglas J. Bakkum, Urs Frey
2015 Frontiers in Neuroscience  
Microelectrode arrays and microprobes have been widely utilized to measure neuronal activity, both in vitro and in vivo.  ...  However, unlike the single-cell or single-channel resolution of intracellular recording, microelectrodes detect signals from all possible sources around every sensor.  ...  Another approach is to enhance MEA signal pre-processing for experimenters to easily extract meaningful information from recordings in real time.  ... 
doi:10.3389/fnins.2014.00423 pmid:25610364 pmcid:PMC4285113 fatcat:ybidtqygmjeyrged6gdbwg7if4

Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns

Roberto Latorre, Carlos Aguirre, Mikhail I. Rabinovich, Pablo Varona
2013 Frontiers in Neural Circuits  
WAVELET ANALYSIS OF THE PATTERNS In one dimensional signals, spectral methods are suitable for the detection of rhythms present in the signal.  ...  activity in the amplitude and frequency ranges observed in the living IO cells.  ...  Conflict of Interest Statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest  ... 
doi:10.3389/fncir.2013.00138 pmid:24046731 pmcid:PMC3763220 fatcat:vidvq3qdwzb5hme32lz3y72z3e
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