Matthew G. Perich

3.0k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

Matthew G. Perich is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Matthew G. Perich has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Biomedical Engineering. Recurrent topics in Matthew G. Perich's work include Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (15 papers) and Motor Control and Adaptation (9 papers). Matthew G. Perich is often cited by papers focused on Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (15 papers) and Motor Control and Adaptation (9 papers). Matthew G. Perich collaborates with scholars based in United States, United Kingdom and Canada. Matthew G. Perich's co-authors include Lee E. Miller, Juan Álvaro Gallego, Sara A. Solla, Raeed H. Chowdhury, Stephanie Naufel, Christian Éthier, Kanaka Rajan, Konrad P. Körding, Pavan Ramkumar and Joshua I. Glaser and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Matthew G. Perich

21 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Neural Manifolds for the Control of Movement

2017 315 citations Juan Álvaro Gallego, Matthew G. Perich et al. Neuron profile →

Peers

Countries citing papers authored by Matthew G. Perich

Since Specialization

Citations

This map shows the geographic impact of Matthew G. Perich'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 Matthew G. Perich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G. Perich more than expected).

Fields of papers citing papers by Matthew G. Perich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew G. Perich. 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 Matthew G. Perich. The network helps show where Matthew G. Perich may publish in the future.

Co-authorship network of co-authors of Matthew G. Perich

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Perich. A scholar is included among the top collaborators of Matthew G. Perich 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 Matthew G. Perich. Matthew G. Perich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A neural implementation model of feedback-based motor learning 2025 ·Nature Communications ·(unknown), Matthew G. Perich, Lee E. Miller, Claudia Clopath, Juan Álvaro Gallego	3
2	A neural manifold view of the brain 2025 ·Nature Neuroscience ·Matthew G. Perich, Devika Narain, Juan Álvaro Gallego	2
3	Regional specialization of movement encoding across the primate sensorimotor cortex 2025 ·Nature Communications ·Simon Borgognon, (unknown), (unknown), Matthew G. Perich, (unknown), (unknown), (unknown), (unknown), Florian Fallegger, Stéphanie P. Lacour, Erwan Bézard, Eric M. Rouiller, Jocelyne Bloch, Tomislav Milekovic, Ismael Seáñez, Grégoire Courtine	0
4	Motor Cortex Latent Dynamics Encode Spatial and Temporal Arm Movement Parameters Independently 2024 ·Journal of Neuroscience ·(unknown), Matthew G. Perich, Lee E. Miller, Mark D. Humphries	1
5	De novo motor learning creates structure in neural activity that shapes adaptation 2024 ·Nature Communications ·(unknown), Matthew G. Perich, Lee E. Miller, Juan Álvaro Gallego, Claudia Clopath	6
6	Preserved neural dynamics across animals performing similar behaviour 2023 ·Nature ·(unknown), (unknown), Junchol Park, Lee E. Miller, Joshua T. Dudman, Matthew G. Perich, Juan Álvaro Gallego	36
7	Epidural electrical stimulation of the cervical dorsal roots restores voluntary upper limb control in paralyzed monkeys 2022 ·Nature Neuroscience ·Beatrice Barra, Sara Conti, Matthew G. Perich, Katie Zhuang, Giuseppe Schiavone, Florian Fallegger, Katia Galan, Nicholas D. James, Quentin Barraud, (unknown), Mélanie Kaeser, Eric M. Rouiller, Tomislav Milekovic, Stéphanie P. Lacour, Jocelyne Bloch, Grégoire Courtine, Marco Capogrosso	54
8	Small, correlated changes in synaptic connectivity may facilitate rapid motor learning 2022 ·Nature Communications ·(unknown), Matthew G. Perich, Raeed H. Chowdhury, Lee E. Miller, Juan Álvaro Gallego, Claudia Clopath	12
9	Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner 2022 ·eLife ·(unknown), Matthew G. Perich, Raeed H. Chowdhury, Lee E. Miller, Juan Álvaro Gallego	27
10	Rapid adaptation of brain–computer interfaces to new neuronal ensembles or participants via generative modelling 2021 ·Nature Biomedical Engineering ·(unknown), (unknown), Tommaso Furlanello, Matthew G. Perich, Lee E. Miller, Laurent Itti	23
11	Long-term stability of cortical population dynamics underlying consistent behavior 2020 ·Nature Neuroscience ·Juan Álvaro Gallego, Matthew G. Perich, Raeed H. Chowdhury, Sara A. Solla, Lee E. Miller	176
12	A versatile robotic platform for the design of natural, three-dimensional reaching and grasping tasks in monkeys 2019 ·Journal of Neural Engineering ·Beatrice Barra, (unknown), Matthew G. Perich, Sara Conti, Seyed Sina Mirrazavi Salehian, (unknown), Andrew Bogaard, Sophie Wurth, Mélanie Kaeser, (unknown), Tomislav Milekovic, Aude Billard, Silvestro Micera, Marco Capogrosso	7
13	Cortical population activity within a preserved neural manifold underlies multiple motor behaviors 2018 ·Nature Communications ·Juan Álvaro Gallego, Matthew G. Perich, Stephanie Naufel, Christian Éthier, Sara A. Solla, Lee E. Miller	160
14	Population coding of conditional probability distributions in dorsal premotor cortex 2018 ·Nature Communications ·Joshua I. Glaser, Matthew G. Perich, Pavan Ramkumar, Lee E. Miller, Konrad P. Körding	32
15	A Neural Population Mechanism for Rapid Learning 2018 ·Neuron ·Matthew G. Perich, Juan Álvaro Gallego, Lee E. Miller	103
16	Linear-nonlinear-time-warp-poisson models of neural activity 2018 ·Journal of Computational Neuroscience ·(unknown), Matthew G. Perich, Lee E. Miller, Konrad P. Körding	30
17	A cryptography-based approach for movement decoding 2017 ·Nature Biomedical Engineering ·Eva L. Dyer, Mohammad Gheshlaghi Azar, Matthew G. Perich, Hugo L. Fernandes, Stephanie Naufel, Lee E. Miller, Konrad P. Körding	31
18	Neural Manifolds for the Control of Movement breakdown → 2017 ·Neuron ·Juan Álvaro Gallego, Matthew G. Perich, Lee E. Miller, Sara A. Solla	315
19	Altered tuning in primary motor cortex does not account for behavioral adaptation during force field learning 2017 ·Experimental Brain Research ·Matthew G. Perich, Lee E. Miller	14
20	Network-timing-dependent plasticity 2015 ·Frontiers in Cellular Neuroscience ·Vincent Delattre, Daniel Keller, Matthew G. Perich, Henry Markram, Eilif Müller	15

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.

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