Fernando M Ramírez

Neuroscientist, dad, and postdoc @NIH. Opinions are my own.

[Fernando M Ramírez @FRamirez_R2]

Worth repeating the repeat 😆

[Yann LeCun @ylecun]

Worth repeating:
Do not confuse retrieval with reasoning.
Do not confuse rote learning with understanding.
Do not confuse accumulated knowledge with intelligence.

[Matthias Nau @NauMatt]

#CogNeuro seeks unified theories of behavioral, physiological, and mental states. To this aim, our @NatureNeuro Perspective proposes a new framework centered on #TaskDemands & across-task generalization. https://t.co/EKXhrcJbUC

w/@Alex_C_Schmid @smkaps @Chris_I_Baker D.Kravitz🧵

[talia konkle @talia_konkle]

Makes me so proud to be a vision scientist studying high-level representation…. My heroes!

[layerfMRI @layerfMRI]

With cool discussions on differences between OHBM and ISMRM.
A versio with video also here: https://t.co/MjBTj3Slqj

[layerfMRI @layerfMRI]

At #OHBM2024, there will be more layer-fMRI abstracts than any previous year. Here are my favourite abstracts: https://t.co/y6Wh6SHebq

[Fernando M Ramírez @FRamirez_R2]

@russpoldrack @_TheTransmitter @Wessel_Lab Interesting interview about errors, their dissemination & correction. Linked https://t.co/lBvoAkAHkh is a relatively unnoticed Matters Arising piece that also originated in the identification of an error, leading to a stimulating discussion with
@AlinkArjen
@rikhens

[Fernando M Ramírez @FRamirez_R2]

Important issue worth thinking about; incentives, mechanisms, and peer recognition. Linked https://t.co/lBvoAkAHkh is a relatively unnoticed Matters Arising piece that originated in the identification of an error, leading to a stimulating discussion with @AlinkArjen @rikhens

[ERROR @error_reviews]

Science can be self-correcting — but only if we invest in making it so. Our view on the staggering costs of undetected errors in science, and why funding error detection and correction is less expensive, published today in @Nature

[Fernando M Ramírez @FRamirez_R2]

The image biases shown & model help interpret findings of mirror-symmetry in fully-connected layers of Deep Networks. Come to my talk at #VSS2024 Sat 18 May 3:30 pm From Divergence to Convergence: A model-guided Synthesis of Findings in Human and Macaque Face Processing Networks

[Fernando M Ramírez @FRamirez_R2]

A Unifying Model for Discordant and Concordant Results in Human Neuroimaging Studies of Facial Viewpoint Selectivity https://t.co/07Wj8NtETR

[Fernando M Ramírez @FRamirez_R2]

The model provides a simple low-level explanation for concordant and discordant results across fMRI MVPA studies of viewpoint selectivity. We hope you enjoy the read and find it thought-provoking! (3/3)

[Fernando M Ramírez @FRamirez_R2]

@TalGolanNeuro Congrats Tal, Amir & team! & thanks for highlighting our work 🙏 i like the jclub idea. For those curious, i will give a related talk at #VSS2024 Sat 18 May 3:30 pm From Divergence to Convergence: A model-guided Synthesis of Findings in Human and Macaque Face Processing Networks

[Tal Golan @TalGolanNeuro]

However, low-level confounds may indeed affect some results in the literature, especially those from fMRI scans. Pairing these two papers could inspire a great journal club discussion! 4/4
https://t.co/1Il76FhRM9
https://t.co/pk97PFcsSn

[Fernando M Ramírez @FRamirez_R2]

@mvazirip Congratulations Maryam! 🥳🥳🥳

[Fernando M Ramírez @FRamirez_R2]

@CRevsine @WilmaBainbridge Congratulations Cambria! Truly amazing 🥳

[Fernando M Ramírez @FRamirez_R2]

The model provides a simple explanation for concordant and discordant results across fMRI MVPA studies of viewpoint selectivity. We hope you enjoy the read and find it thought-provoking! (3/3)

[Fernando M Ramírez @FRamirez_R2]

Happy to share the preprint of this fun project conducted with a great team Cambria Revsine @CRevsine, Javier Gonzalez-Castillo @javiergcas, @elimerriam and Peter Bandettini @fMRI_today (1/3)

https://t.co/a2lqhYnzs9

[Fernando M Ramírez @FRamirez_R2]

The proposed hierarchical network architecture includes three key constraints: convergent feedforward connections, increasing connections across two network “hemispheres” in successive processing stages, and cortical magnification of the foveal representation (2/3)

[Fernando M Ramírez @FRamirez_R2]

i meant homologies! lol

[Fernando M Ramírez @FRamirez_R2]

Thinking about homomogies of face-selective areas between humans and macaques? Join the Social Vision nanosymposium 1 pm today! #SfN2022 @SfNtweets https://t.co/wFak0dGTF2 #SFN22