Juliana Gonzalez Astudillo Profile
Juliana Gonzalez Astudillo

@JGonzalezAstudi

Followers
123
Following
463
Statuses
41

Biomedical Engineer @unc_cordoba · PhD in Computer Science @Sorbonne_Univ_ · PostDoc @InstitutCerveau @Inria | Network Science | Brain Computer Interfaces🕸🧠

Paris, France
Joined November 2019
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
7 months
What about feature interpretability in #BCI? 🤔 We delved into network lateralization to enhance feature interpretability in motor imagery tasks, benchmarking against #PSD, #CSP, and #Riemannian methods. With @F_DeVicoFallani Check it out! 🧠🕸
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
7 months
RT @F_DeVicoFallani: When people intentionally cause an event, they tend to perceive the action and its outcome as being closer in time tha…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
7 months
RT @CPresigny: 📖New paper featured in @NatureComms ! Many THX again to @MConstanceCorsi and @F_DeVicoFallani for their trust and commitment…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
8 months
@danilobzdok hi Danilo, I'm afraid it's not possible to DM you. Could you please provide an alternative way to contact you?
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
11 months
RT @diegocandiar: Our framework for identifying brain networks linked to changes in cardiac dynamics 🫀 🧠 is out now in Human Brain Mapping…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
11 months
RT @vpeterson09: We are facing a difficult moment in the history of Argentinian science. Nobel prizes for all over the world have raised th…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
RT @ClaireDussard: 🚨 So happy to share my first preprint out on @biorxiv_neursci! We dived into the world of neurof…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
RT @clinica_run: Clinica is looking for a software developer / research engineer who will develop quality control tools and participate to…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
For detailed information on #coreness estimation and other aspects, please check the associated #github repository🐙🐱.
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
📢 Our latest research, accepted in @Brain1878, uncovers core-periphery organization in Ticker-Tape #Synesthesia (TTS). Heightened #Coreness in key brain regions, presenting a unique counterpoint to dyslexia. 🌟With F Hauw @F_DeVicoFallani @laurentcohen10
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
RT @F_DeVicoFallani: Just out in @Brain1878 ! Core-periphery brain interactions in people who "see" the words they hear #synesthesia #netwo
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
La semaine dernière, j'ai eu l'honneur d'être invitée à présenter le #BCI à de jeunes lycéennes lors du Rdv des Jeunes Mathématiciennes et Informaticiennes #RJMI. Inspirant de voir ces esprits curieux s'intéresser aux domaines de la science, rappelant nos débuts à toutes👩🏽‍💻🧠
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
RT @oliviercolliot: ML for brain disorders: one chapter / day Main existing datasets by @BaptisteCouvy @simobottani @JGonzalezAstudi @Has
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
1 year
Tristan has carried out a master piece project, merging robotics, BCI and connectivity. From scratch to reality. You can check part of his work and results in his latest pre print . I couldn’t be prouder of you 🦾
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
2 years
RT @oliviercolliot: "Machine Learning for Brain Disorders" is now published! 1058 pages fully open access
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
2 years
RT @F_DeVicoFallani: Excited to announce #NetViz A simple-fast-anonymous interactive-free-online test to better understand how people visua…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
2 years
RT @diegocandiar: Awesome week! #NetSci2023 just finished, with the fab team @JGonzalezAstudi @F_DeVicoFallani @CPresigny @vidichio https:/…
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@JGonzalezAstudi
Juliana Gonzalez Astudillo
2 years
Excited to share my work on time-varying dynamics for brain motor networks at @netsci2023! Join me at poster 22 to discuss more in details the transformation of time series into strength time series, capturing dynamic changes in brain interactions.
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