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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In vitro large-scale experimental and theoretical studies for the realization of bi-directional brain-prostheses
|
|---|---|
| Published in |
Frontiers in Neural Circuits, January 2013
|
| DOI | 10.3389/fncir.2013.00040 |
| Pubmed ID | |
| Authors |
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, Jacopo Tessadori, Stefano Taverna, Michela Chiappalone |
| Abstract |
Brain-machine interfaces (BMI) were born to control "actions from thoughts" in order to recover motor capability of patients with impaired functional connectivity between the central and peripheral nervous system. The final goal of our studies is the development of a new proof-of-concept BMI-a neuromorphic chip for brain repair-to reproduce the functional organization of a damaged part of the central nervous system. To reach this ambitious goal, we implemented a multidisciplinary "bottom-up" approach in which in vitro networks are the paradigm for the development of an in silico model to be incorporated into a neuromorphic device. In this paper we present the overall strategy and focus on the different building blocks of our studies: (i) the experimental characterization and modeling of "finite size networks" which represent the smallest and most general self-organized circuits capable of generating spontaneous collective dynamics; (ii) the induction of lesions in neuronal networks and the whole brain preparation with special 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. A dynamical characterization of the finite size circuits with single cell resolution is provided. A neural network model based on Izhikevich neurons was able to replicate the experimental observations. Changes in the dynamics of the neuronal circuits induced by optical and ischemic lesions are presented respectively for in vitro neuronal networks and for a whole brain preparation. Finally the implementation of a neuromorphic chip reproducing the network dynamics in quasi-real time (10 ns precision) is presented. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Japan | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Switzerland | 1 | <1% |
| Israel | 1 | <1% |
| Portugal | 1 | <1% |
| Finland | 1 | <1% |
| Belgium | 1 | <1% |
| Greece | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 107 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 24% |
| Researcher | 24 | 21% |
| Student > Master | 20 | 17% |
| Student > Bachelor | 5 | 4% |
| Professor > Associate Professor | 5 | 4% |
| Other | 13 | 11% |
| Unknown | 22 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 32 | 27% |
| Agricultural and Biological Sciences | 21 | 18% |
| Neuroscience | 15 | 13% |
| Computer Science | 6 | 5% |
| Physics and Astronomy | 6 | 5% |
| Other | 13 | 11% |
| Unknown | 24 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2013.
All research outputs
#12,812,341
of 22,701,287 outputs
Outputs from Frontiers in Neural Circuits
#512
of 1,209 outputs
Outputs of similar age
#152,082
of 280,698 outputs
Outputs of similar age from Frontiers in Neural Circuits
#55
of 173 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.