Evidence map›Paper›PMID 23503997›Full record

ArticleFrontiers in neural circuits2013

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 and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neural circuits, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Opportunities and Challenges of Brain-on-a-Chip Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2025
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  14. Astrocytes restore connectivity and synchronization in dysfunctional cerebellar networks.Proceedings of the National Academy of Sciences of the United States of America · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 4 countries.

Paolo BonifaziSchool of Physics and Astronomy, Tel Aviv University Tel Aviv, Israel.
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
Italian Institute of Technology · ITTel Aviv University · ILIngegneria dei Sistemi (United Kingdom) · GBInstitut Polytechnique de Bordeaux · FRLaboratoire de l'Intégration du Matériau au Système · FRUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Brain-Computer InterfacesAction PotentialsAnimalsBrainCells, CulturedGuinea PigsNerve Nethardware spiking neural networkin silico neuronal circuitIn vitro modular networkslesioned circuitswhole brain

Identifiers

PMID23503997
PMCPMC3596784
OpenAlexW2140419408

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.