Moshe Glickman
Overview
Explore the profile of Moshe Glickman including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
14
Citations
63
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Glickman M, Sharot T
Nat Hum Behav
. 2024 Dec;
9(2):345-359.
PMID: 39695250
Artificial intelligence (AI) technologies are rapidly advancing, enhancing human capabilities across various fields spanning from finance to medicine. Despite their numerous advantages, AI systems can exhibit biased judgements in domains...
2.
Vellani V, Glickman M, Sharot T
Commun Psychol
. 2024 Nov;
2(1):107.
PMID: 39506099
Knowledge is distributed over many individuals. Thus, humans are tasked with informing one another for the betterment of all. But as information can alter people's action, affect and cognition in...
3.
Glickman M, Sharot T
Curr Opin Psychol
. 2024 Sep;
60:101900.
PMID: 39348730
Humans evolved to learn from one another. Today, however, learning opportunities often emerge from interactions with AI systems. Here, we argue that learning from AI systems resembles learning from other...
4.
Shdeour O, Tal-Perry N, Glickman M, Yuval-Greenberg S
Cognition
. 2024 Jan;
244:105695.
PMID: 38183867
Noise is intuitively thought to interfere with perceptual learning; However, human and machine learning studies suggest that, in certain contexts, variability may reduce overfitting and improve generalizability. Whereas previous studies...
5.
Glickman M, Sela T, Usher M, Levy D
Psychon Bull Rev
. 2023 Jan;
30(4):1410-1421.
PMID: 36625990
Individual differences in cognitive processing have been the subject of intensive research. One important type of such individual differences is the tendency for global versus local processing, which was shown...
6.
Glickman M, Moran R, Usher M
Nat Hum Behav
. 2022 Apr;
6(7):988-999.
PMID: 35379981
Evidence integration is a normative algorithm for choosing between alternatives with noisy evidence, which has been successful in accounting for vast amounts of behavioural and neural data. However, this mechanism...
7.
Rosenbaum D, Glickman M, Fleming S, Usher M
Psychol Sci
. 2022 Mar;
33(4):613-628.
PMID: 35333670
is an optimal decision algorithm that accumulates evidence until the posterior reaches a decision boundary, resulting in the fastest decisions for a target accuracy. Here, we demonstrated that this advantage...
8.
Hadar B, Glickman M, Trope Y, Liberman N, Usher M
J Exp Psychol Gen
. 2021 Dec;
151(7):1733-1743.
PMID: 34928684
Many situations in life (such as considering which stock to invest in, or which people to befriend) require averaging across series of values. Here, we examined predictions derived from construal...
9.
Rosenbaum D, Glickman M, Usher M
Front Psychol
. 2021 Oct;
12:693575.
PMID: 34659010
We examine the ability of observers to extract summary statistics (such as the mean and the relative-variance) from rapid numerical sequences of two digit numbers presented at a rate of...
10.
Glickman M, Sharoni O, Levy D, Niebur E, Stuphorn V, Usher M
PLoS Comput Biol
. 2019 Aug;
15(8):e1007201.
PMID: 31465438
A key question in decision-making is how people integrate amounts and probabilities to form preferences between risky alternatives. Here we rely on the general principle of integration-to-boundary to develop several...