Krishna V. Shenoy

31.2k citations

207 papers · 16.6k indexed · 10 hit papers · h-index 68

Cognitive Neuroscience top 0.05%
Cellular and Molecular Neuroscience top 0.05%
Electrical and Electronic Engineering top 1%
Biomedical Engineering top 0.5%
Artificial Intelligence top 1%

Co-authors: Mark M. Churchland Stephen I. Ryu Matthew T. Kaufman Paul Nuyujukian Gopal Santhanam David Sussillo Byron M. Yu John P. Cunningham
Topics: EEG and Brain-Computer Interfaces (154 papers)Neuroscience and Neural Engineering (131 papers)Neural dynamics and brain function (91 papers)
Cited by: Cognitive Neuroscience Cellular and Molecular Neuroscience Human-Computer Interaction
Journals: Nature Science Cell
Partner nations: United States United Kingdom Russia

In The Last Decade

Krishna V. Shenoy

204 papers receiving 16.3k citations

Hit Papers

5 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.

Context-dependent computation by recurrent dynamics in prefrontal cortex

2013 1.0k citations David Sussillo, Krishna V. Shenoy et al. Nature profile →
Neural population dynamics during reaching

2012 933 citations Mark M. Churchland, John P. Cunningham et al. Nature profile →
High-performance brain-to-text communication via handwriting

2021 503 citations Francis R. Willett, Leigh R. Hochberg et al. Nature profile →
Cortical Control of Arm Movements: A Dynamical Systems Perspective

2013 501 citations Krishna V. Shenoy, Maneesh Sahani et al. profile →
Cortical activity in the null space: permitting preparation without movement

2014 451 citations Matthew T. Kaufman, Mark M. Churchland et al. profile →
High performance communication by people with paralysis using an intracortical brain-computer interface

2017 338 citations Chethan Pandarinath, Paul Nuyujukian et al. eLife profile →
Inferring single-trial neural population dynamics using sequential auto-encoders

2018 306 citations Chethan Pandarinath, Daniel J. O’Shea et al. profile →
Computation Through Neural Population Dynamics

2020 279 citations David Sussillo, Krishna V. Shenoy et al. profile →
A high-performance speech neuroprosthesis

2023 217 citations Francis R. Willett, Leigh R. Hochberg et al. Nature profile →
Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex

2022 137 citations Eric M. Trautmann, Sergey D. Stavisky et al. profile →

Peers

Countries citing papers authored by Krishna V. Shenoy

Since Specialization

Citations

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

Fields of papers citing papers by Krishna V. Shenoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna V. Shenoy. 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 Krishna V. Shenoy. The network helps show where Krishna V. Shenoy may publish in the future.

Co-authorship network of co-authors of Krishna V. Shenoy

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	The dynamics and geometry of choice in the premotor cortex 2025 ·Nature ·Mikhail Genkin,Krishna V. Shenoy,Chandramouli Chandrasekaran,Tatiana A. Engel	6
2	Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex 2023 ·Nature Communications ·Pierre Boucher,Tian Wang,(unknown),Gary A. Kane,Krishna V. Shenoy,Chandramouli Chandrasekaran	10
3	Cell-type-specific population dynamics of diverse reward computations 2022 ·Cell ·Emily Sylwestrak,YoungJu Jo,Sam Vesuna,Xiao Wang,(unknown),(unknown),Doo Kyung Kim,Lief E. Fenno,Charu Ramakrishnan,William E. Allen,Ritchie Chen,Krishna V. Shenoy,David Sussillo,Karl Deisseroth	33
4	Decoding and perturbing decision states in real time 2021 ·Nature ·Diogo Peixoto,(unknown),Roozbeh Kiani,Jonathan C. Kao,Paul Nuyujukian,Chandramouli Chandrasekaran,Julian Brown,(unknown),Stephen I. Ryu,Krishna V. Shenoy,William T. Newsome	52
5	Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex 2021 ·eLife ·Eric Lee,(unknown),(unknown),(unknown),Maria Medalla,Krishna V. Shenoy,Chandramouli Chandrasekaran	42
6	A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces 2020 ·Nature Biomedical Engineering ·Samuel R. Nason,Alex K. Vaskov,Matthew S. Willsey,Elissa Welle,(unknown),Philip P. Vu,Autumn J. Bullard,Chrono S. Nu,Jonathan C. Kao,Krishna V. Shenoy,Taekwang Jang,Hun-Seok Kim,David Blaauw,Parag G. Patil,Cynthia A. Chestek	78
7	Organizing recurrent network dynamics by task-computation to enable continual learning 2020 ·UCL Discovery (University College London) ·Lea Duncker,Laura Driscoll,Krishna V. Shenoy,Maneesh Sahani,David Sussillo	20
8	Principled BCI Decoder Design and Parameter Selection Using a Feedback Control Model 2019 ·Scientific Reports ·Francis R. Willett,Daniel R. Young,Brian Murphy,William D. Memberg,Christine H Blabe,Chethan Pandarinath,Sergey D. Stavisky,Paymon G. Rezaii,Jad Saab,Benjamin L. Walter,Jennifer A. Sweet,Jonathan P. Miller,Jaimie M. Henderson,Krishna V. Shenoy,John D. Simeral,Beata Jarosiewicz,Leigh R. Hochberg,Robert F. Kirsch,A. Bolu Ajiboye	30
9	Frequency Shifts and Depth Dependence of Premotor Beta Band Activity during Perceptual Decision-Making 2019 ·Journal of Neuroscience ·Chandramouli Chandrasekaran,(unknown),Krishna V. Shenoy	21
10	Development of an optogenetic toolkit for neural circuit dissection in squirrel monkeys 2018 ·Scientific Reports ·Daniel J. O’Shea,Paul Kalanithi,Emily Ferenczi,Brian Hsueh,Chandramouli Chandrasekaran,(unknown),Ilka Diester,Charu Ramakrishnan,Matthew T. Kaufman,Stephen I. Ryu,Kristen W. Yeom,Karl Deisseroth,Krishna V. Shenoy	22
11	Closed-loop cortical control of virtual reach and posture using Cartesian and joint velocity commands 2018 ·Journal of Neural Engineering ·Daniel R. Young,Francis R. Willett,William D. Memberg,Brian Murphy,Paymon G. Rezaii,Benjamin L. Walter,Julia Sweet,Jonathan P. Miller,Krishna V. Shenoy,Leigh R. Hochberg,Robert F. Kirsch,A. Bolu Ajiboye	17
12	A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain–Computer Interfaces 2017 ·IEEE Transactions on Biomedical Engineering ·Francis R. Willett,Brian Murphy,Daniel R. Young,William D. Memberg,Christine H Blabe,Chethan Pandarinath,Brian Franco,Jad Saab,Benjamin L. Walter,Jennifer A. Sweet,Jonathan P. Miller,Jaimie M. Henderson,Krishna V. Shenoy,John D. Simeral,Beata Jarosiewicz,Leigh R. Hochberg,Robert F. Kirsch,A. Bolu Ajiboye	19
13	ERAASR: an algorithm for removing electrical stimulation artifacts from multielectrode array recordings 2017 ·Journal of Neural Engineering ·Daniel J. O’Shea,Krishna V. Shenoy	26
14	Augmenting intracortical brain-machine interface with neurally driven error detectors 2017 ·Journal of Neural Engineering ·(unknown),Sergey D. Stavisky,Jonathan C. Kao,Stephen I. Ryu,Krishna V. Shenoy	19
15	Signal-independent noise in intracortical brain–computer interfaces causes movement time properties inconsistent with Fitts’ law 2017 ·Journal of Neural Engineering ·Francis R. Willett,Brian Murphy,William D. Memberg,Christine H Blabe,Chethan Pandarinath,Benjamin L. Walter,Jennifer A. Sweet,Jonathan P. Miller,Jaimie M. Henderson,Krishna V. Shenoy,Leigh R. Hochberg,Robert F. Kirsch,A. Bolu Ajiboye	11
16	The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type 2016 ·eNeuro ·Matthew T. Kaufman,Jeffrey Seely,David Sussillo,Stephen I. Ryu,Krishna V. Shenoy,Mark M. Churchland	133
17	The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces 2016 ·Experimental Neurology ·Daniel J. O’Shea,Eric M. Trautmann,Chandramouli Chandrasekaran,Sergey D. Stavisky,Jonathan C. Kao,Maneesh Sahani,Stephen I. Ryu,Karl Deisseroth,Krishna V. Shenoy	32
18	Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1 2016 ·PLoS Computational Biology ·Jeffrey Seely,Matthew T. Kaufman,Stephen I. Ryu,Krishna V. Shenoy,John P. Cunningham,Mark M. Churchland	37
19	High-dimensional neural spike train analysis with generalized count linear dynamical systems 2015 ·Neural Information Processing Systems ·Yuanjun Gao,Lars Buesing,Krishna V. Shenoy,John P. Cunningham	11
20	A Brain-Machine Interface with an Innovative Spiking Neural Network Decoder 2011 ·Open Repository and Bibliography (University of Liège) ·(unknown),Paul Nuyujukian,(unknown),Krishna V. Shenoy,Kwabena Boahen	1

About Krishna V. Shenoy

Krishna V. Shenoy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computational Mathematics, having authored 207 papers that have together received 16.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (154 papers), Neuroscience and Neural Engineering (131 papers) and Neural dynamics and brain function (91 papers). The work is most often cited by research in Cognitive Neuroscience (14.5k citations), Cellular and Molecular Neuroscience (8.1k citations) and Human-Computer Interaction (512 citations). Krishna V. Shenoy has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Mark M. Churchland, Stephen I. Ryu, Stephen I. Ryu, Matthew T. Kaufman, Paul Nuyujukian, Gopal Santhanam, David Sussillo, Byron M. Yu, John P. Cunningham and Maneesh Sahani. Their work appears in journals such as Nature, Science and Cell.

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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