Jorge F. Mejias

Jorge F. Mejias

Universiteit van Amsterdam

H-index: 17

Europe-Netherlands

About Jorge F. Mejias

Jorge F. Mejias, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of Computational Neuroscience, Cognitive Neuroscience, Neural Networks, Complex Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal

Cell type specific firing patterns in a V1 cortical column model depend on feedforward and feedback activity

Predictive coding with spiking neurons and feedforward gist signaling

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Biologically plausible models of cognitive flexibility: merging recurrent neural networks with full-brain dynamics

Distributed evidence accumulation across macaque large-scale neocortical networks during perceptual decision making

Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making

Synaptic plasticity is required for oscillations in a V1 cortical column model with multiple interneuron types

Jorge F. Mejias Information

University

Position

Assistant Professor

Citations(all)

1220

Citations(since 2020)

852

Cited By

663

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

Universiteit van Amsterdam

Google Scholar

View Google Scholar Profile

Jorge F. Mejias Skills & Research Interests

Computational Neuroscience

Cognitive Neuroscience

Neural Networks

Complex Systems

Top articles of Jorge F. Mejias

Title

Journal

Author(s)

Publication Date

A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal

Proceedings of the National Academy of Sciences

Lola Beerendonk

Jorge F Mejías

Stijn A Nuiten

Jan Willem de Gee

Johannes J Fahrenfort

...

2024/1/30

Cell type specific firing patterns in a V1 cortical column model depend on feedforward and feedback activity

bioRxiv

Giulia Moreni

Cyriel MA Pennartz

Jorge F Mejias

2024

Predictive coding with spiking neurons and feedforward gist signaling

bioRxiv

Kwangjun Lee

Shirin Dora

Jorge F Mejias

Sander M Bohte

Cyriel MA Pennartz

2023/4/3

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Katrin Amunts

Andreas Rowald

Spase Petkoski

Maria V Sanchez-Vives

Markus Axer

...

2022

Biologically plausible models of cognitive flexibility: merging recurrent neural networks with full-brain dynamics

Maya van Holk

Jorge F Mejias

2024/4/1

Distributed evidence accumulation across macaque large-scale neocortical networks during perceptual decision making

bioRxiv

Licheng Zou

Nicola Palomero-Gallagher

Douglas Zhou

Songting Li

Jorge F Mejias

2023

Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making

bioRxiv

Thomas Wierda

Shirin Dora

Cyriel MA Pennartz

Jorge F Mejias

2023

Synaptic plasticity is required for oscillations in a V1 cortical column model with multiple interneuron types

bioRxiv

Giulia Moreni

Cyriel MA Pennartz

Jorge F Mejias

2023

Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception

Frontiers in Computational Neuroscience

Matthias Brucklacher

Sander M Bohte

Jorge F Mejias

Cyriel MA Pennartz

2023

Spontaneous variations in arousal modulate subsequent visual processing and local field potential dynamics in the ferret during quiet wakefulness

Cerebral Cortex

Lianne MF Klaver

Lotte P Brinkhof

Tom Sikkens

Lorena Casado-Román

Alex G Williams

...

2023/6/15

Emergence of distributed working memory in a human brain network model

bioRxiv

Mengli Feng

Abhirup Bandyopadhyay

Jorge F Mejias

2023/1/27

Mechanisms of distributed working memory in a large-scale network of macaque neocortex

Elife

Jorge F Mejias

Xiao-Jing Wang

2022/2/24

A connectome-based model of conscious access in monkey cortex

BioRxiv

Ulysse Klatzmann

Sean Froudist-Walsh

Daniel P Bliss

Panagiota Theodoni

Jorge Mejías

...

2022/2/22

Directed functional and structural connectivity in a large-scale model for the mouse cortex

Network Neuroscience

Ronaldo V Nunes

Marcelo B Reyes

Jorge F Mejias

Raphael Y de Camargo

2021/11/30

The continued need for animals to advance brain research

Neuron

Judith R Homberg

Roger AH Adan

Natalia Alenina

Antonis Asiminas

Michael Bader

...

2021/8/4

Cerebellar Purkinje cells can differentially modulate coherence between sensory and motor cortex depending on region and behavior

Proceedings of the National Academy of Sciences

Sander Lindeman

Sungho Hong

Lieke Kros

Jorge F Mejias

Vincenzo Romano

...

2021/1/12

Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing

Joaquín Torres Agudo

Miguel Ángel Muñoz Martínez

Jesús M Cortés

Jorge F Mejias

2021

Neural correlates of multisensory detection behavior: comparison of primary and higher-order visual cortex

Cell reports

Guido T Meijer

Pietro Marchesi

Jorge F Mejias

Jorrit S Montijn

Carien S Lansink

...

2020/5/12

See List of Professors in Jorge F. Mejias University(Universiteit van Amsterdam)

Co-Authors

H-index: 100
Xiao-Jing Wang

Xiao-Jing Wang

New York University

H-index: 66
Leonard Maler

Leonard Maler

Ottawa University

H-index: 66
Cyriel Pennartz

Cyriel Pennartz

Universiteit van Amsterdam

H-index: 46
Hilbert Johan Kappen

Hilbert Johan Kappen

Radboud Universiteit

H-index: 39
John D. Murray

John D. Murray

Yale University

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