Brandon Caie

ORCID: 0009-0009-5015-2639
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About
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Research Areas
  • Neural and Behavioral Psychology Studies
  • Decision-Making and Behavioral Economics
  • Visual perception and processing mechanisms
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Opinion Dynamics and Social Influence
  • Neuroscience, Education and Cognitive Function
  • Genetics, Bioinformatics, and Biomedical Research
  • Motor Control and Adaptation
  • Cognitive Science and Mapping
  • Aesthetic Perception and Analysis
  • Sensory Analysis and Statistical Methods
  • Transcranial Magnetic Stimulation Studies
  • Face Recognition and Perception

Queen's University
2018-2025

Predictions are combined with sensory information when making choices. Accumulator models have conceptualized predictions as trial-by-trial updates to a baseline evidence level. These been successful in explaining the influence of choice history across-trials, however they do not account for how is transformed into evidence. Here, we derive gated accumulator that onset accumulation combination delayed and prediction timing. To test delays interact predictions, designed free saccade task...

10.1152/jn.00041.2024 article EN cc-by Journal of Neurophysiology 2025-02-19

Abstract Expectations are combined with sensory information when making choices. Some models of the choice process have conceptualized expectations as trial by updates to baseline evidence in an accumulator framework. These been successful explaining influence history across trials on reaction times and probabilities, however they do not account for variability delay interval within trials. Here, we derive a gated that onset accumulation combination delayed expectation timing changes To test...

10.1101/2023.12.14.571751 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-12-15

Behavioural and neural time series are often correlated with the past. This history-dependence may represent a fundamental property of measured variables, or arise from how confounding variables change over time. Here we argue that undecidability about ground-truth is general computational systems exchange information its environment, show resulting uncertainty has direct impact on causal inference. We first in ground truth an inherent open cannot be explicitly falsified. Simple model then...

10.48550/arxiv.2403.00947 preprint EN arXiv (Cornell University) 2024-03-01

Abstract Transcranial direct current stimulation (tDCS) is used as a tool to causally influence neural activity in humans non-invasively. Although most studies recruit large number of participants order uncover population-level effects, growing evidence suggests that tDCS may be expected induce different effects individuals, leading inter-individual variability and confounds testing. Alternatively, this arise from intra-individual sources are difficult assess standard designs. Here, we...

10.1101/2024.08.23.609379 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-08-26

Abstract Brain lesion and stimulation studies have suggested posterior parietal cortex the medial intraparietal sulcus in particular as a crucial hub for online movement error corrections. However, causal evidence this is still sparse. Indeed, are potentially confounded by compensatory reorganization mechanisms while brain produced heterogeneous results when employing transcranial magnetic stimulation. Here we designed new complementary paradigm using fMRI-guided high-definition direct...

10.1101/708693 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-07-30

Neuromatch Academy (https://neuromatch.io/academy) was designed as an online summer school to cover the basics of computational neuroscience in three weeks. The materials dominant and emerging tools, how they complement one another, specifically focus on can help us better understand brain functions. An original component is its modeling choices, i.e. do we choose right approach, build models, evaluate models determine if provide real (meaningful) insight. This meta-modeling instructional...

10.31219/osf.io/9fp4v preprint EN 2021-02-15
Bernard Marius ‘t Hart Titipat Achakulvisut Ayoade Adeyemi Athena Akrami Bradly Alicea and 95 more Alicia Alonso-Andres Diego Alzate‐Correa Arash Ash J. J. Ballesteros Aishwarya H. Balwani Eleanor Batty Ulrik Beierholm Ari S. Benjamin Upinder S. Bhalla Gunnar Blohm Joachim Blohm Kathryn Bonnen Marco Brigham Bingni W. Brunton John S. Butler Brandon Caie N. Alex Cayco-Gajic Sharbatanu Chatterjee Spyridon Chavlis Ruidong Chen You Cheng Hiu Mei Chow Raymond Chua Yunwei Dai Isaac David Eric DeWitt Julien Denis Alish Dipani Arianna Dorschel Jan Drugowitsch Kshitij Dwivedi G. Sean Escola Haoxue Fan Roozbeh Farhoodi Yicheng Fei Pierre-Étienne Fiquet Lorenzo Fontolan Jérémy Forest Yuki Fujishima Byron V. Galbraith Mario Galdamez Richard Gao Julijana Gjorgjieva Alexander Gonzalez Qinglong Gu Yueqi Guo Ziyi Guo Pankaj Gupta Busra Gurbuz Caroline Haimerl Jordan B. Harrod Alexandre Hyafil Martín Irani Daniel Jacobson Michelle J. Johnson Ilenna Jones Gili Karni Robert E. Kass Hyosub E. Kim Andreas M. Kist Randal A. Koene Konrad P. Körding Matthew R. Krause Arvind Kumar Norma K. Kühn RAY LC Matthew Laporte Junseok K. Lee Songting Li Sikun Lin Yang Lin Shuze Liu Tony Liu Jesse A. Livezey Linlin Lu Jakob H. Macke Kelly Mahaffy A Martins Nicolás Martorell Manolo Martínez Marcelo G. Mattar Jorge Aurelio Menendez Kenneth D. Miller Patrick Mineault Nosratullah Mohammadi Yalda Mohsenzadeh Elenor Morgenroth Taha Morshedzadeh Alice C. Mosberger Madhuvanthi Muliya Marieke Mur John D. Murray Yashas Nd Richard Naud Prakriti Nayak

10.21105/jose.00118 article EN Journal of Open Source Education 2022-03-31

Every choice is guided by the interaction between sensory information and internal goals. Choice behaviour however evolves with course of actions changing environments. To assess how drives interact over time, we employed a free saccadic reaction time task. Participants responded to two targets that varied randomly in relative onset. Selection was faster more probabilistic when options appeared close while large temporal gaps led slower, predictable selection early target. A competitive...

10.1167/18.10.664 article EN cc-by-nc-nd Journal of Vision 2018-09-01

10.32470/ccn.2019.1359-0 article EN cc-by 2022 Conference on Cognitive Computational Neuroscience 2019-01-01
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