Keiji Ota

Keiji Ota

New York University

H-index: 6

North America-United States

About Keiji Ota

Keiji Ota, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at New York University, specializes in the field of Decision, Action, Cognitive control.

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

Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample test

Autonomous behaviour and the limits of human volition

Detecting visual texture patterns in binary sequences through pattern features

Using influence measures to test normative use of probability density information derived from a sample

Modeling visual estimation of the centers of symmetric distributions

Competition rather than observation and cooperation facilitates optimal motor planning

Visual cue estimation with non-gaussian distribution

Optimizing motor decision-making through competition with opponents

Keiji Ota Information

University

Position

Postdoctoral associate

Citations(all)

127

Citations(since 2020)

108

Cited By

59

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Keiji Ota Skills & Research Interests

Decision

Action

Cognitive control

Top articles of Keiji Ota

Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample test

PLOS Computational Biology

2024/5/1

Autonomous behaviour and the limits of human volition

Cognition

2024/3/1

Detecting visual texture patterns in binary sequences through pattern features

Journal of vision

2023/11/1

Using influence measures to test normative use of probability density information derived from a sample

bioRxiv

2023/2/5

Modeling visual estimation of the centers of symmetric distributions

Journal of Vision

2021/9/27

Keiji Ota
Keiji Ota

H-Index: 4

Pascal Mamassian
Pascal Mamassian

H-Index: 27

Competition rather than observation and cooperation facilitates optimal motor planning

Frontiers in Sports and Active Living

2021/2/26

Keiji Ota
Keiji Ota

H-Index: 4

Visual cue estimation with non-gaussian distribution

Journal of Vision

2020/10/20

Keiji Ota
Keiji Ota

H-Index: 4

Pascal Mamassian
Pascal Mamassian

H-Index: 27

Optimizing motor decision-making through competition with opponents

Scientific reports

2020/1/22

Keiji Ota
Keiji Ota

H-Index: 4

See List of Professors in Keiji Ota University(New York University)

Co-Authors

academic-engine