Publications
Google Scholar. See below for paper highlights.
Working papers
A unified derivative-like dopaminergic computation across valences
Mijoo Park, Jongwon Yun, Hogyu Choi, HyungGoo R. Kim
Biorxiv
Peer-reviewed papers
Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics
Michael Bukwich†, Malcolm G. Campbell†, David Zoltowski, Lyle Kingsbury, Momchil S. Tomov, Joshua Stern, HyungGoo R. Kim , Jan Drugowitsch, Scott W. Linderman, Naoshige Uchida
Neuron (2025)
Multi-timescale reinforcement learning in the brain
Paul Masset, Pablo Tano, HyungGoo R. Kim , Athar N. Malik, Alexandre Pouget & Naoshige Uchida
Nature (2025)
A Normative Framework Dissociates Need and Motivation in Hypothalamic Neurons
Kyu Sik Kim†, Young Hee Lee†, Jong Won Yun†, Yu-Been Kim†, Ha Young Song, Joon Seok Park, Sang-Ho Jung, Jong-Woo Sohn, Ki Woo Kim, HyungGoo R. Kim* , Hyung Jin Choi*
Science Advances (2024) Press (selected): 동아사이언스
Distinct roles of the orbitofrontal cortex, ventral striatum, and dopamine neurons in counterfactual thinking of decision outcomes
Mengxi Yun, Masafumi Nejime, Takashi Kawai, Jun Kunimatsu, Hiroshi Yamada, HyungGoo R. Kim, Masayuki Matsumoto
Science Advances (2023)
Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in the sensory cortex
JeongJun Park†, Seolmin Kim†, HyungGoo R. Kim, Joonyeol Lee
Science Advances (2023)
A neural mechanism for detecting object motion during self-motion
HyungGoo R. Kim , Dora E. Angelaki, Greg DeAngelis
eLife (2022)
The role of state uncertainty in the dynamics of dopamine
JG Mikhael†, HR Kim†, N Uchida, SJ Gershman
Current Biology (2022) [video]
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 [video] Press (selected): data @ DANDI archive
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 Press (selected): News & Views
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
Conference presentations
Dopamine neurons flexibly compute reward proximity during foraging competition
Rin Wang, SeungYub Lee, HyungGoo R. Kim
KSBNS (2025)
Projection-specific diversity of dopaminergic activity under aversive situations
Mijoo Park, Jihye Yang, HyungGoo R. Kim
KSBNS (2025)
Versatile visual stimulation for awake mice in ultra-high field fMRI reveals diverse patterns in visual cortex
SeungYub Lee, Geun Ho Im, Sanghan Choi, Seong-Gi Kim, HyungGoo R. Kim
KSBNS (2025)
Dopamine activity in the tail of striatum predicts avoidance behaviors in complex threatening situations
Nawoon Kwon, HyungGoo R. Kim
KSBNS (2025)
Dopaminergic activities in the striatal subregions show distinct representations but common learning mechanisms
Jihye Yang, Mijoo Park, HyungGoo R. Kim
KSBNS (2025)
An active avoidance task in augmented reality to investigate responses to visual fear memory
Nawoon Kwon , HyungGoo R. Kim
Korean Society For Cognitive and Biological Psychology conference (2025)
Flexible computation of reward proximity in dopamine neurons
Rin Wang , SeungYub Lee , Jong Won Yun, Hoyeon Jang ,HyungGoo R. Kim
Korean Society For Cognitive and Biological Psychology conference (2025)
A derivative-like computation in dopaminergic activity during aversive situations
Mijoo Park , Jong Won Yun, Hogyu Choi ,HyungGoo R. Kim
KSBNS (2024), SFN (2024)
Derivative nature of dopamine processing is manifested by first-time teleport in virtual reality
Hoyeon Jang ,HyungGoo R. Kim
KSBNS (2024)
Probe tracking and spike alignments
Jong Won Yun
KSBNS (2024)
Diversity of lateral habenula neurons in reward and aversive processing
Jong Won Yun , HyungGoo R. Kim
KSBNS (2024)
Distinct Integration of Opposite Valences in Striatal Dopamine Signals
Jihye Yang , Mijoo Park , HyungGoo R. Kim
KSBNS (2024)
A brain-wide investigation of the neural substrates of associative learning
SeungYub Lee , Geunho Lim, SeongGi Kim, HyungGoo R. Kim
KSBNS (2024)
A choice task to investigate the neural mechanism of selection among distributed and discounted reward options
Ben Dougen , HyungGoo R. Kim
KSBNS (2024)
A derivative-like computation in dopaminergic activity during aversive situations
Mijoo Park , Jong Won Yun, Hogyu Choi ,HyungGoo R. Kim
Korean Society For Cognitive and Biological Psychology conference (2024)
A derivative computation of dopamine circuit facing positive and negative valences
HyungGoo R. Kim
KSMCB (2023), Kavli Frontiers of Science Symposium (2024)
A Normative Framework Dissociates Need and Motivation in Hypothalamic Neurons
Hyung Jin Choi, Kyu Sik Kim, Young Hee Lee, Yu-Been Kim, Jong Won Yun, Ha Young Song, Joon Seok Park, Sang-Ho Jung, HyungGoo R. Kim
SfN (2023)
Dynamics of dopaminergic activity in fear learning and avoidance behaviors
Mijoo Park, Hogyu Choi, HyungGoo Kim
KSBNS (2023)
Reward processing in lateral habenula neurons using virtual reality track
Jongwon Yun and HyungGoo Kim
KSBNS (2023)
Reinforcement learning at multiple timescales in biological and artificial neural networks
Paul Masset†, Pablo Tano†, Athar N. Malik†, HyungGoo R. Kim† , Pol Bech, Alexandre Pouget, Naoshige Uchida
Cosyne 2023
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
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 derivative-like computation in the dopamine reward prediction error signals
HR Kim, N Uchida
Cosyne 2019 (oral presentation)
Near-optimal linear decoding for marginalization: application to heading estimation
HR Kim, X Pitkow, R Sasaki, DE Angelaki, GC DeAngelis
Cosyne 2014 (poster)
Paper highlights
We provided a novel functional role for neurons with incongruent tuning for multiple depth cues, detecting moving objects during self-motion.
HyungGoo R. Kim , Dora E. Angelaki, Greg DeAngelis
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
Highlighted by Whittington & Behrens and Morita & Kato
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*
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
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
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
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
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