Bradley C. Love

Bradley C. Love

University College London

H-index: 50

Europe-United Kingdom

About Bradley C. Love

Bradley C. Love, With an exceptional h-index of 50 and a recent h-index of 35 (since 2020), a distinguished researcher at University College London, specializes in the field of computational neurosicence, human-aligned deep learning, human-machine teaming.

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

Modeling similarity and psychological space

The past, present, and future of the brain imaging data structure (BIDS)

Distinct hippocampal mechanisms support concept formation and updating

Large language models surpass human experts in predicting neuroscience results

Linking Models with Brain Measures

The inevitability and superfluousness of cell types in spatial cognition

A controller-peripheral architecture and costly energy principle for learning

On Leakage in Machine Learning Pipelines

Bradley C. Love Information

University

Position

Professor of Experimental Psychology

Citations(all)

10029

Citations(since 2020)

4870

Cited By

7001

hIndex(all)

50

hIndex(since 2020)

35

i10Index(all)

112

i10Index(since 2020)

79

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Bradley C. Love Skills & Research Interests

computational neurosicence

human-aligned deep learning

human-machine teaming

Top articles of Bradley C. Love

Title

Journal

Author(s)

Publication Date

Modeling similarity and psychological space

Brett D Roads

Bradley C Love

2024/1/18

The past, present, and future of the brain imaging data structure (BIDS)

Imaging Neuroscience

Russell A Poldrack

Christopher J Markiewicz

Stefan Appelhoff

Yoni K Ashar

Tibor Auer

...

2024/3/8

Distinct hippocampal mechanisms support concept formation and updating

bioRxiv

Michael L Mack

Bradley C Love

Alison R Preston

2024

Large language models surpass human experts in predicting neuroscience results

arXiv preprint arXiv:2403.03230

Xiaoliang Luo

Akilles Rechardt

Guangzhi Sun

Kevin K Nejad

Felipe Yáñez

...

2024/3/4

Linking Models with Brain Measures

Bradley C Love

2024/3/31

The inevitability and superfluousness of cell types in spatial cognition

bioRxiv

Xiaoliang Luo

Robert M Mok

Bradley C Love

2024

A controller-peripheral architecture and costly energy principle for learning

bioRxiv

Xiaoliang Luo

Robert M Mok

Brett D Roads

Bradley C Love

2023/1/18

On Leakage in Machine Learning Pipelines

arXiv preprint arXiv:2311.04179

Leonard Sasse

Eliana Nicolaisen-Sobesky

Juergen Dukart

Simon B Eickhoff

Michael Götz

...

2023/11/7

Human-in-the-loop mixup

Katherine M Collins

Umang Bhatt

Weiyang Liu

Vihari Piratla

Ilia Sucholutsky

...

2023

Adaptive stretching of representations across brain regions and deep learning model layers

bioRxiv

Xin-Ya Zhang

Sebastian Bobadilla-Suarez

Xiaoliang Luo

Marilena Lemonari

Scott L Brincat

...

2023

A deep learning account of how language affects thought

Language, Cognition and Neuroscience

Xiaoliang Luo

Nicholas J Sexton

Bradley C Love

2023/4/21

You can’t play 20 questions with nature and win redux

Bradley C Love

Robert M Mok

2023/3

Do Invariances in Deep Neural Networks Align with Human Perception?

Vedant Nanda

Ayan Majumdar

Camila Kolling

John P Dickerson

Krishna P Gummadi

...

2023

Getting aligned on representational alignment

arXiv preprint arXiv:2310.13018

Ilia Sucholutsky

Lukas Muttenthaler

Adrian Weller

Andi Peng

Andreea Bobu

...

2023/10/18

Dorsomedial striatum, but not dorsolateral striatum, is necessary for rat category learning

Neurobiology of learning and memory

Matthew B Broschard

Jangjin Kim

Bradley C Love

John H Freeman

2023/3/1

Confound-leakage: confound removal in machine learning leads to leakage

GigaScience

Sami Hamdan

Bradley C Love

Georg G von Polier

Susanne Weis

Holger Schwender

...

2023

Signatures of cross-modal alignment in children’s early concepts

The Proceedings of the National Academy of Sciences (PNAS)

Kaarina Aho

Brett D. Roads

Bradley C. Love

2023/10

A too-good-to-be-true prior to reduce shortcut reliance

Pattern Recognition Letters

Nikolay Dagaev

Brett D Roads

Xiaoliang Luo

Daniel N Barry

Kaustubh R Patil

...

2023/2/1

A multilevel account of hippocampal function in spatial and concept learning: Bridging models of behavior and neural assemblies

Science Advances

Robert M Mok

Bradley C Love

2023/7/21

When unsupervised training benefits category learning

Cognition

Franziska Bröker

Bradley C Love

Peter Dayan

2022/4/1

See List of Professors in Bradley C. Love University(University College London)

Co-Authors

H-index: 36
Todd Gureckis

Todd Gureckis

New York University

H-index: 30
Ross Otto

Ross Otto

McGill University

H-index: 25
matt jones

matt jones

University of Colorado Boulder

H-index: 24
Michael L Mack

Michael L Mack

University of Toronto

H-index: 20
Tyler Davis

Tyler Davis

Texas Tech University

H-index: 12
Olivia Guest

Olivia Guest

Radboud Universiteit

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