H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 4,919 100 World Ranking 5746 National Ranking 342

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Neuroscience

Maneesh Sahani mostly deals with Neuroscience, Stimulus, Auditory cortex, Receptive field and Premotor cortex. His Neuroscience study integrates concerns from other disciplines, such as Artificial intelligence and Dynamics. His research in Stimulus intersects with topics in Visual perception, Sensory system and Visualization.

Maneesh Sahani focuses mostly in the field of Auditory cortex, narrowing it down to topics relating to Neural coding and, in certain cases, Modulation, Cortical Synchronization, Cortex, Sensory processing and Contrast. His work carried out in the field of Receptive field brings together such families of science as Natural sounds, Cortical neurons and Spectrogram. His Premotor cortex study deals with Movement intersecting with Neural correlates of consciousness, Motor cortex and Electrophysiology.

His most cited work include:

  • Temporal structure in neuronal activity during working memory in macaque parietal cortex (857 citations)
  • Stimulus onset quenches neural variability: a widespread cortical phenomenon (761 citations)
  • Cortical control of arm movements: a dynamical systems perspective. (423 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Artificial intelligence, Neuroscience, Stimulus, Probabilistic logic and Pattern recognition. He combines subjects such as Machine learning and Computer vision with his study of Artificial intelligence. His studies in Auditory cortex, Sensory system, Macaque, Posterior parietal cortex and Inhibitory postsynaptic potential are all subfields of Neuroscience research.

His research investigates the connection between Inhibitory postsynaptic potential and topics such as Tonotopy that intersect with issues in Biological neural network. The Stimulus study combines topics in areas such as Speech recognition, World Wide Web and Visual cortex. His Probabilistic logic study incorporates themes from Algorithm and Statistical model.

He most often published in these fields:

  • Artificial intelligence (35.78%)
  • Neuroscience (35.29%)
  • Stimulus (12.75%)

What were the highlights of his more recent work (between 2015-2021)?

  • Neuroscience (35.29%)
  • Artificial intelligence (35.78%)
  • Sensory system (11.27%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Neuroscience, Artificial intelligence, Sensory system, Inference and Gaussian process. His Neuroscience study focuses mostly on Inhibitory postsynaptic potential, Inhibitory control, Stimulus, Macaque and Mirror neuron. His Artificial intelligence research integrates issues from Machine learning, Computation and Computer vision.

He has researched Sensory system in several fields, including Neurotypical, Receptive field, Perception and Auditory cortex. His Auditory cortex study combines topics from a wide range of disciplines, such as Ketamine and Neural correlates of consciousness. The study incorporates disciplines such as Algorithm, Probabilistic logic, Postdiction and Random variable in addition to Inference.

Between 2015 and 2021, his most popular works were:

  • Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex (95 citations)
  • Inhibitory control of correlated intrinsic variability in cortical networks (77 citations)
  • A Head-Mounted Camera System Integrates Detailed Behavioral Monitoring with Multichannel Electrophysiology in Freely Moving Mice (52 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Neuroscience

His primary areas of investigation include Neuroscience, Inference, Sensory system, Artificial intelligence and Gaussian process. Maneesh Sahani integrates Neuroscience and Calcium imaging in his studies. His Inference research incorporates elements of Algorithm, Posterior probability, Autoencoder and Latent variable.

His Sensory system study incorporates themes from Structure and Receptive field. His work on MNIST database and Representation as part of general Artificial intelligence research is frequently linked to Systems neuroscience and Pupillary response, thereby connecting diverse disciplines of science. Maneesh Sahani combines subjects such as Neural correlates of consciousness and Speech recognition with his study of Perception.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Temporal structure in neuronal activity during working memory in macaque parietal cortex

Bijan Pesaran;John S. Pezaris;John S. Pezaris;Maneesh Sahani;Partha P. Mitra.
Nature Neuroscience (2002)

1066 Citations

Stimulus onset quenches neural variability: a widespread cortical phenomenon

Mark M. Churchland;Byron M. Yu;Byron M. Yu;John P. Cunningham;Leo P. Sugrue;Leo P. Sugrue.
Nature Neuroscience (2010)

895 Citations

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity

Byron M Yu;John P Cunningham;Gopal Santhanam;Stephen I. Ryu.
neural information processing systems (2008)

523 Citations

Cortical control of arm movements: a dynamical systems perspective.

Krishna V. Shenoy;Maneesh Sahani;Mark M. Churchland.
Annual Review of Neuroscience (2013)

506 Citations

Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction

Kensuke Sekihara;Maneesh Sahani;Srikantan S. Nagarajan.
NeuroImage (2005)

466 Citations

Spectrotemporal Structure of Receptive Fields in Areas AI and AAF of Mouse Auditory Cortex

Jennifer F Linden;Robert C Liu;Maneesh Sahani;Maneesh Sahani;Christoph E Schreiner.
Journal of Neurophysiology (2003)

264 Citations

Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex.

Jasper Poort;Adil G. Khan;Marius Pachitariu;Abdellatif Nemri;Abdellatif Nemri.
Neuron (2015)

243 Citations

Empirical models of spiking in neural populations

Jakob H Macke;Lars Buesing;John P Cunningham;Byron M Yu.
neural information processing systems (2011)

200 Citations

Latent variable models for neural data analysis

R. A. Andersen;Maneesh Sahani.
(1999)

182 Citations

Techniques for extracting single-trial activity patterns from large-scale neural recordings

Mark M Churchland;Byron M Yu;Byron M Yu;Maneesh Sahani;Krishna V Shenoy.
Current Opinion in Neurobiology (2007)

182 Citations

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Best Scientists Citing Maneesh Sahani

Christian Beste

Christian Beste

TU Dresden

Publications: 109

Krishna V. Shenoy

Krishna V. Shenoy

Stanford University

Publications: 108

Stephen I. Ryu

Stephen I. Ryu

Palo Alto Medical Foundation

Publications: 103

Pascal Fries

Pascal Fries

Ernst Strüngmann Institute for Neuroscience

Publications: 55

Liam Paninski

Liam Paninski

Columbia University

Publications: 49

Konrad P. Kording

Konrad P. Kording

University of Pennsylvania

Publications: 44

Bijan Pesaran

Bijan Pesaran

New York University

Publications: 40

Srikantan S. Nagarajan

Srikantan S. Nagarajan

University of California, San Francisco

Publications: 38

Lee E. Miller

Lee E. Miller

Northwestern University

Publications: 36

Kenneth D. Harris

Kenneth D. Harris

University College London

Publications: 35

Mark M. Churchland

Mark M. Churchland

Columbia University

Publications: 34

Jose M. Carmena

Jose M. Carmena

University of California, Berkeley

Publications: 33

Nikos K. Logothetis

Nikos K. Logothetis

Max Planck Institute for Biological Cybernetics

Publications: 31

John P. Donoghue

John P. Donoghue

Brown University

Publications: 31

Matteo Carandini

Matteo Carandini

University College London

Publications: 30

Nicholas G. Hatsopoulos

Nicholas G. Hatsopoulos

University of Chicago

Publications: 30

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