Néstor Parga

4.1k total citations · 1 hit paper
99 papers, 2.7k citations indexed

About

Néstor Parga is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Néstor Parga has authored 99 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 31 papers in Artificial Intelligence and 30 papers in Statistical and Nonlinear Physics. Recurrent topics in Néstor Parga's work include Neural dynamics and brain function (47 papers), Neural Networks and Applications (29 papers) and Advanced Memory and Neural Computing (14 papers). Néstor Parga is often cited by papers focused on Neural dynamics and brain function (47 papers), Neural Networks and Applications (29 papers) and Advanced Memory and Neural Computing (14 papers). Néstor Parga collaborates with scholars based in Spain, Argentina and United States. Néstor Parga's co-authors include Jean‐Pierre Nadal, Alfonso Renart, Rubén Moreno‐Bote, Jaime de la Rocha, Péter Barthó, Alex D. Reyes, Kenneth D. Harris, Antonio Turiel, Edmund T. Rolls and M. A. Virasoro and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Néstor Parga

98 papers receiving 2.6k citations

Hit Papers

The Asynchronous State in Cortical Circuits 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Asynchronous State in Cortical Circuits
    2010 740 citations Alfonso Renart, Jaime de la Rocha et al. profile →

Peers

Néstor Parga
Michael R. DeWeese United States
Valeri A. Makarov Spain
Klaus Pawelzik Germany
Shigeru Shinomoto Japan
R. Köberle Brazil
Joseph T. Lizier Australia
Masato Okada Japan
Marcelo A. Montemurro United Kingdom
Anthony N. Burkitt Australia
Vijay Balasubramanian United States
Michael R. DeWeese United States
Néstor Parga
Citations per year, relative to Néstor Parga Néstor Parga (= 1×) peers Michael R. DeWeese

Countries citing papers authored by Néstor Parga

Since Specialization
Citations

This map shows the geographic impact of Néstor Parga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Néstor Parga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Néstor Parga more than expected).

Fields of papers citing papers by Néstor Parga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Néstor Parga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Néstor Parga. The network helps show where Néstor Parga may publish in the future.

Co-authorship network of co-authors of Néstor Parga

This figure shows the co-authorship network connecting the top 25 collaborators of Néstor Parga. A scholar is included among the top collaborators of Néstor Parga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Néstor Parga. Néstor Parga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beirán, Manuel, et al.. (2024). Emergent perceptual biases from state-space geometry in trained spiking recurrent neural networks. Cell Reports. 43(7). 114412–114412. 3 indexed citations
2.
Parga, Néstor, et al.. (2023). Emergent computations in trained artificial neural networks and real brains. Journal of Instrumentation. 18(2). C02060–C02060. 4 indexed citations
3.
Pérez‐Zabalza, María, et al.. (2020). Modulation of cortical slow oscillatory rhythm by GABA B receptors: an in vitro experimental and computational study. The Journal of Physiology. 598(16). 3439–3457. 19 indexed citations
4.
Lafuente, Víctor de, et al.. (2015). Dynamic Control of Response Criterion in Premotor Cortex during Perceptual Detection under Temporal Uncertainty. Neuron. 86(4). 1067–1077. 81 indexed citations
5.
Rocha, Jaime de la & Néstor Parga. (2008). Thalamocortical transformations of periodic stimuli: the effect of stimulus velocity and synaptic short-term depression in the vibrissa–barrel system. Journal of Computational Neuroscience. 25(1). 122–140. 3 indexed citations
6.
Rocha, Jaime de la & Néstor Parga. (2005). Short-Term Synaptic Depression Causes a Non-Monotonic Response to Correlated Stimuli. Journal of Neuroscience. 25(37). 8416–8431. 56 indexed citations
7.
Moreno‐Bote, Rubén & Néstor Parga. (2005). Membrane Potential and Response Properties of Populations of Cortical Neurons in the High Conductance State. Physical Review Letters. 94(8). 88103–88103. 29 indexed citations
8.
Moreno‐Bote, Rubén & Néstor Parga. (2004). Role of Synaptic Filtering on the Firing Response of Simple Model Neurons. Physical Review Letters. 92(2). 28102–28102. 70 indexed citations
9.
Turiel, Antonio & Néstor Parga. (2003). Role of statistical symmetries in sensory coding: an optimal scale invariant code for vision. Journal of Physiology-Paris. 97(4-6). 491–502. 2 indexed citations
10.
Turiel, Antonio, Jean‐Pierre Nadal, & Néstor Parga. (2003). Orientational minimal redundancy wavelets: from edge detection to perception. Vision Research. 43(9). 1061–1079. 8 indexed citations
11.
Moreno‐Bote, Rubén, Jaime de la Rocha, Alfonso Renart, & Néstor Parga. (2002). Response of Spiking Neurons to Correlated Inputs. Physical Review Letters. 89(28). 288101–288101. 79 indexed citations
12.
Rolls, Edmund T., et al.. (2000). A recurrent model of transformation invariance by association. Neural Networks. 13(2). 225–237. 9 indexed citations
13.
Turiel, Antonio & Néstor Parga. (2000). Multifractal Wavelet Filter of Natural Images. Physical Review Letters. 85(15). 3325–3328. 23 indexed citations
14.
Renart, Alfonso, Néstor Parga, & Edmund T. Rolls. (1999). A Recurrent Model of the Interaction Between Prefrontal and Inferotemporal Cortex in Delay Tasks. Neural Information Processing Systems. 12. 171–177. 2 indexed citations
15.
Nadal, Jean‐Pierre & Néstor Parga. (1997). I.C.A.: conditions on cumulants and information theoretic approach.. The European Symposium on Artificial Neural Networks. 1 indexed citations
16.
Turiel, Antonio, Germán Mato, Néstor Parga, & Jean‐Pierre Nadal. (1997). Self-similarity Properties of Natural Images. Neural Information Processing Systems. 10. 836–842. 14 indexed citations
17.
Nadal, Jean‐Pierre & Néstor Parga. (1997). Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches. Neural Computation. 9(7). 1421–1456. 32 indexed citations
18.
Mato, Germán & Néstor Parga. (1992). Generalization properties of multilayered neural networks. Journal of Physics A Mathematical and General. 25(19). 5047–5054. 19 indexed citations
19.
Moukarzel, Cristian F. & Néstor Parga. (1992). The REM zeros in the complex temperature and magnetic field planes. Physica A Statistical Mechanics and its Applications. 185(1-4). 305–315. 3 indexed citations
20.
Parga, Néstor. (1987). Overlap distributions and taxonomy analysis of spin glass states with equal weights. Journal de physique. 48(4). 499–508. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael R. DeWeese Breakdown of academic impact, for papers by Valeri A. Makarov Breakdown of academic impact, for papers by Klaus Pawelzik Breakdown of academic impact, for papers by Shigeru Shinomoto Breakdown of academic impact, for papers by R. Köberle Breakdown of academic impact, for papers by Joseph T. Lizier Breakdown of academic impact, for papers by Masato Okada Breakdown of academic impact, for papers by Marcelo A. Montemurro Breakdown of academic impact, for papers by Anthony N. Burkitt Breakdown of academic impact, for papers by Vijay Balasubramanian
Rankless by CCL
2026