Publications

Paper highlights

A neural mechanism for detecting object motion during self-motion

We provided a novel functional role for neurons with incongruent tuning for multiple depth cues, detecting moving objects during self-motion.

HR Kim, DE Angelaki, GC DeAngelis

eLife (2022)

An article posted on the university webpage

The role of state uncertainty in the dynamics of dopamine

We provided a normative explanation of why dopamine ‘ramps’ up in certain situations. Intriguingly, the same approach accounts for a dopamine ‘bump’, which happens when state uncertainty decreases within a trial.

JG Mikhael, HR Kim, N Uchida, SJ Gershman

Current Biology (2022)

Highlighted by Whittington & Behrens and Morita & Kato

A unified framework for dopamine signals across timescales

We demonstrated that the brain computes teaching signals in a way that truly resembles the one used in a machine learning theory.

HR Kim, AN Malik, JG Mikhael, P Bech, I Tsutsui-Kimura, F Sun, Y Zhang, Y Li, M Watabe-Uchida, SJ Gershman, N Uchida

Cell (2020), 183 (6), 1600-1616

An essay posted on the department webpage

Gain modulation as a mechanism for coding depth from motion parallax in macaque area MT

We showed the mechanisms of depth computation based on extra-retinal response gain modulation.

HGR Kim, DE Angelaki, GC DeAngelis

Journal of Neuroscience (2017), 37 (34), 8180-8197

A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons

We provided a novel neural computation for performing marginalization.

HR Kim, X Pitkow, DE Angelaki, GC DeAngelis

Journal of neurophysiology (2016), 116 (3), 1449-1467

The neural basis of depth perception from motion parallax

We reviewed recent findings in the neural basis of depth perception from motion parallax and provided future directions.

HR Kim, DE Angelaki, GC DeAngelis

Philosophical Transactions of the Royal Society B Biological Sciences (2016), 371

A functional link between MT neurons and depth perception based on motion parallax

Single neurons in the visual cortex are sensitive to depth from motion parallax, and their activity is correlated with perceptual decision.

HR Kim, DE Angelaki, GC DeAngelis

Journal of Neuroscience (2015), 35 (6), 2766-2777

A novel role for visual perspective cues in the neural computation of depth

We found that single neurons in the visual cortex can encode using a large-field background motion (dynamic perspective cues)

HR Kim, DE Angelaki, GC DeAngelis

Nature Neuroscience (2015), 18 (1), 129-137

News & Views

 

A list of peer-reviewed papers and selected conference presentations

Google Scholar

A neural mechanism for detecting object motion during self-motion
HR Kim, DE Angelaki, GC DeAngelis
eLife (2022)

Who will win the race? A novel dynamic competition task in virtual reality
Siyoung Choi, Lumi Lee, HyungGoo R Kim
KSBNS 2022

Mice efficiently learn to escape a place associated with electric shock in virtual reality
Hogyu Choi, HyungGoo R Kim
KSBNS 2022

The role of state uncertainty in the dynamics of dopamine
JG Mikhael, HR Kim, N Uchida, SJ Gershman
Current Biology (2022)

A diversity of discounting horizons explains ramping diversity in dopaminergic neurons
Paul Masset, Athar N. Malik, HyungGoo R. Kim, Pol Bech, Naoshige Uchida
Cosyne 2021 (poster)

Diversity of discounting horizons explains ramping diversity in dopaminergic neurons
Paul Masset, HyungGoo Kim, Athar Malik, Pol Bech, Naoshige Uchida
Biological and Artificial Reinforcement Learning workshop , NeurIPS 2020

A unified framework for dopamine signals across timescales
HR Kim, AN Malik, JG Mikhael, P Bech, I Tsutsui-Kimura, F Sun, Y Zhang, Y Li, M Watabe-Uchida, SJ Gershman, N Uchida
Cell (2020), 183 (6), 1600-1616

A derivative-like computation in the dopamine reward prediction error signals
HR Kim, N Uchida
Cosyne 2019 (oral presentation)

Gain modulation as a mechanism for coding depth from motion parallax in macaque area MT
HGR Kim, DE Angelaki, GC DeAngelis
Journal of Neuroscience (2017), 37 (34), 8180-8197

A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons
HR Kim, X Pitkow, DE Angelaki, GC DeAngelis
Journal of neurophysiology (2016), 116 (3), 1449-1467

The neural basis of depth perception from motion parallax
HR Kim, DE Angelaki, GC DeAngelis
Philosophical Transactions of the Royal Society B Biological Sciences (2016), 371

A functional link between MT neurons and depth perception based on motion parallax
HR Kim, DE Angelaki, GC DeAngelis
Journal of Neuroscience (2015), 35 (6), 2766-2777

A novel role for visual perspective cues in the neural computation of depth
HR Kim, DE Angelaki, GC DeAngelis
Nature Neuroscience (2015), 18 (1), 129-137

Near-optimal linear decoding for marginalization: application to heading estimation
HR Kim, X Pitkow, R Sasaki, DE Angelaki, GC DeAngelis
Cosyne 2014 (poster)

Joint representation of depth from motion parallax and binocular disparity cues in macaque area MT
JW Nadler, D Barbash, HR Kim, S Shimpi, DE Angelaki, GC DeAngelis
Journal of Neuroscience (2013), 33 (35), 14061-14074

Modulation of V1 spike response by temporal interval of spatiotemporal stimulus sequence
T Kim, HGR Kim, K Kim, C Lee
PLoS One (2012), 7 (10), e47543

Trial-to-trial variability of spike response of V1 and saccadic response time
J Lee, HR Kim, C Lee
Journal of neurophysiology (2010), 104 (5), 2556-2572