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Biomimetic neural network for modifying biological dynamics during hybrid experiments

Matthieu Ambroise, Stefano Buccelli, Filippo Grassia, Antoine Pirog, Yannick Bornat, Michela Chiappalone, Timothée Levi
2017 Artificial Life and Robotics  
Open-loop and closed-loop hybrid experiments shows that the biological dynamics can be modified. This work can be seen as the first step towards the realization of an innovative neuroprosthesis.  ...  Here we present closed-loop biohybrid experiment using in vitro Biological Neuronal Network (BNN) with an Artificial Neural Network (ANN) implemented in a neuromorphic board.  ...  Open-loop and closed-loop experiments are performed using CPG as artificial neural network. We notice that the dynamic of the BNN is modified and merge with the SNN into a new periodic dynamic.  ... 
doi:10.1007/s10015-017-0366-1 fatcat:aehudp76nnh33o7ahm4qlzrnva

A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks

Hanna Keren, Johannes Partzsch, Shimon Marom, Christian G. Mayr
2019 Frontiers in Neuroscience  
We present a biohybrid experimental setting, where the activity of a biological neural network is coupled to a biomimetic hardware network.  ...  Developing technologies for coupling neural activity and artificial neural components, is key for advancing neural interfaces and neuroprosthetics.  ...  For the hybrid experiments in this paper, the SFA strength, strength of recurrent connections and the background are finely balanced for the network to experience short population spikes, as shown in behavior  ... 
doi:10.3389/fnins.2019.00432 pmid:31133779 pmcid:PMC6517490 fatcat:klgtpn4gtjgh7imlan2xtkxwja

Optimized Real-Time Biomimetic Neural Network on FPGA for Bio-hybridization

Farad Khoyratee, Filippo Grassia, Sylvain Saïghi, Timothée Levi
2019 Frontiers in Neuroscience  
Neurological diseases can be studied by performing bio-hybrid experiments using a real-time biomimetic Spiking Neural Network (SNN) platform.  ...  This is the first step toward neuromorphic system which can be used for the simulation of bio-hybridization and for the study of neurological disorders or the advanced research on neuroprosthesis to regain  ...  We also thank Louis Chatenet for his contribution concerning the work on the synapses and Thomas Beneteau for his contribution on the statistical method of correlations.  ... 
doi:10.3389/fnins.2019.00377 pmid:31068781 pmcid:PMC6491680 fatcat:pfkiln5csbeztgqtsxoelas2da

Real-time biomimetic Central Pattern Generators in an FPGA for hybrid experiments

Matthieu Ambroise, Timothée Levi, Sébastien Joucla, Blaise Yvert, Sylvain Saïghi
2013 Frontiers in Neuroscience  
This digital system opens the way for future hybrid experiments and represents an important step toward hybridization of biological tissue and artificial neural networks.  ...  This investigation of the leech heartbeat neural network system led to the development of a low resources, real-time, biomimetic digital hardware for use in hybrid experiments.  ...  These future experiments aim to demonstrate that hybrid artificial/biological networks provide possible solutions for rehabilitating lost central nervous system function.  ... 
doi:10.3389/fnins.2013.00215 pmid:24319408 pmcid:PMC3836270 fatcat:xo422gznj5fjlixiayjsnjm6ue

Closed-loop control of a modular neuromorphic biohybrid [article]

Hanna Keren, Johannes Partzsch, Shimon Marom, Christian Mayr
2018 arXiv   pre-print
We address these questions by developing a hybrid device of a cortical culture functionally integrated with a biomimetic hardware neural network.  ...  Neural networks modularity is a major challenge for the development of control circuits of neural activity.  ...  This also suggests that biomimetic networks with sufficiently rich dynamics can serve as a tool for classifying neural network states while overcoming the limitations of sampling through a downstream module  ... 
arXiv:1802.07905v1 fatcat:m7luirtks5gkhj444s7jpga6e4

Brain-implantable biomimetic electronics as the next era in neural prosthetics

T.W. Berger, M. Baudry, R.D. Brinton, J.-S. Liaw, V.Z. Marmarelis, A. Yoondong Park, B.J. Sheu, A.R. Tanguay
2001 Proceedings of the IEEE  
The component microchips are "neurocomputational" incorporating experimentally based mathematical models of the nonlinear dynamic and adaptive properties of biological neurons and neural networks.  ...  The hardware developed to date, although limited in capacity, can perform computations supporting cognitive functions such as pattern recognition, but more generally will support any brain function for  ...  NEURAL NETWORK MODELS WITH BIOLOGICALLY REALISTIC DYNAMICS A.  ... 
doi:10.1109/5.939806 fatcat:juafqjmghffyhnrt6xeev2lwoa

Beyond Biomimetics: Towards Insect/Machine Hybrid Controllers for Space Applications

Antonella Benvenuto, Fabrizio Sergi, Giovanni Di Pino, Tobias Seidl, Domenico Campolo, Dino Accoto, Eugenio Guglielmelli
2009 Advanced Robotics  
A doubly hybrid controller is proposed that hinges around the 'insect-in-a-cockpit' concept towards an evolution of the classical deliberative/reactive paradigm, featuring a biological (insect brain) high-level  ...  Robots for space applications require a level of autonomy while operating in highly unstructured environments that current control architectures cannot manage successfully.  ...  Acknowledgements This work was supported by the ESA Ariadna Medium Study 'Machine/Animal Hybrid Controllers for Space Applications (07/6301)'.  ... 
doi:10.1163/156855309x443034 fatcat:nazotyopg5gnbiwox7hiis647m

Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis

S. Dura-Bernal, S. A. Neymotin, C. C. Kerr, S. Sivagnanam, A. Majumdar, J. T. Francis, W. W. Lytton
2017 IBM Journal of Research and Development  
Biomimetic simulation permits neuroscientists to better understand the complex neuronal dynamics of the brain.  ...  Biomimetic neuroprostheses require realtime adaptation to changes in the external environment, thus constituting an example of a dynamic data-driven application system.  ...  biomimetic models of brain dynamics that can then be used to perform tasks [1] [2] [3] .  ... 
doi:10.1147/jrd.2017.2656758 pmid:29200477 pmcid:PMC5708558 fatcat:t2wpsrowwfgghkconkn5di6gym

A survey of the development of biomimetic intelligence and robotics

Jiankun Wang, Weinan Chen, Xiao Xiao, Yangxin Xu, Chenming Li, Xiao Jia, Max Q.-H. Meng
2021 Biomimetic Intelligence and Robotics  
Biomimetic intelligence aims to solve many complex problems by studying the principles of biological systems, resulting in a series of efficient algorithms, such as the genetic algorithm and neural network  ...  Biomimetic robotics are designed with biological characteristics and functions to be applied in different scenarios, such as humanoid robot in the home environment, quadruped robot in the field, and bird-like  ...  Biomimetic neural network The biomimetic neural network is also called the artificial neural network, which is an information processing paradigm that imitates how biological neural system works [171]  ... 
doi:10.1016/j.birob.2021.100001 fatcat:vvpui4txzrbgtkf5wjcjs4sqfe

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  
module with a real-time hardware neuromorphic Spiking Neural Network.  ...  Then, we employed our neuromorphic prosthesis for bidirectional bridging to artificially reconnect two disconnected neuronal modules and for hybrid bidirectional bridging to replace the activity of one  ...  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

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.  ...  Then, we employed our neuromorphic prosthesis for two specific applications with future clinical implications: bidirectional bridging to artificially reconnect two disconnected neuronal modules and hybrid  ...  of 381 living neural networks and for performing useful real-time hybrid experiments. 382 A limitation of the present work is that we deliberately chose to downsample both the number of 383 biological  ... 
doi:10.1101/514836 fatcat:xjhbukbfmrhk5lkzt3s6nq2qhu

Understanding Nanoparticle Drug Delivery from Rotational Dynamics and Behaviors of Functionalized Gold Nanorods on Live Cell Membranes

Yan Gu, Wei Sun, Gufeng Wang, Ning Fang
2011 Biophysical Journal  
The time series of DIC intensities of the images reflect the rotational dynamics of the gold nanorods.  ...  modified, and CTAB stabilized gold nanorods) show a stronger interaction with cell membranes than negative ones (tranferrin modified and carboxylic gold nanorods).  ...  As such, patterns of nanopillars serve as effective axon-guiding instruments, and can form the basis of templates for the long-term study of neural networks. 2563-Pos Board B549 Plasmonic Gold-Virus  ... 
doi:10.1016/j.bpj.2010.12.2771 fatcat:5phbp3ez6rfxnivaigbmeetb6m

Controlled Photo Electro Thermal Generation of Micro Bubble for Manipulation of Cells

Annas Javed, Samarendra Mohanty
2011 Biophysical Journal  
The time series of DIC intensities of the images reflect the rotational dynamics of the gold nanorods.  ...  modified, and CTAB stabilized gold nanorods) show a stronger interaction with cell membranes than negative ones (tranferrin modified and carboxylic gold nanorods).  ...  As such, patterns of nanopillars serve as effective axon-guiding instruments, and can form the basis of templates for the long-term study of neural networks. 2563-Pos Board B549 Plasmonic Gold-Virus  ... 
doi:10.1016/j.bpj.2010.12.2772 fatcat:4reszefdrval5ir56ciggwzp5i

Plasmonic Gold-Virus for Targeting, Delivery, and Molecular Imaging

SoonGweon Hong, Mi Yeon Lee, Andrew O. Jackson, Luke P. Lee
2011 Biophysical Journal  
The time series of DIC intensities of the images reflect the rotational dynamics of the gold nanorods.  ...  modified, and CTAB stabilized gold nanorods) show a stronger interaction with cell membranes than negative ones (tranferrin modified and carboxylic gold nanorods).  ...  As such, patterns of nanopillars serve as effective axon-guiding instruments, and can form the basis of templates for the long-term study of neural networks. 2563-Pos Board B549 Plasmonic Gold-Virus  ... 
doi:10.1016/j.bpj.2010.12.2775 fatcat:g7y4jcb6bzdqzcobqssd634dz4

Vertical Nanopillars for Biointerface: Cell Interactions with Inorganic Nanostructures

Lindsey Hanson, Chong Xie, Xiliang Lin, Yi Cui, Bianxiao Cui
2011 Biophysical Journal  
The time series of DIC intensities of the images reflect the rotational dynamics of the gold nanorods.  ...  modified, and CTAB stabilized gold nanorods) show a stronger interaction with cell membranes than negative ones (tranferrin modified and carboxylic gold nanorods).  ...  As such, patterns of nanopillars serve as effective axon-guiding instruments, and can form the basis of templates for the long-term study of neural networks. 2563-Pos Board B549 Plasmonic Gold-Virus  ... 
doi:10.1016/j.bpj.2010.12.2774 fatcat:yebjmdpoundste2vpep465my6e
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