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Takaki Komiyama

University of California San Diego · US
Area of research
Cellular and Molecular Neuroscience · Cognitive Neuroscience
Research interest
Research interests include Neural dynamics and brain function, Neurobiology and Insect Physiology Research, Neuroscience and Neural Engineering, and Olfactory and Sensory Function Studies.
h-index
42
citations
7,632
works
101
NIH funding
primary concept
email

Recent publications

Complementary cortical and thalamic contributions to cell type-specific striatal activity dynamics during movement.
2026cited by 0position: contributordoi
Adaptive reorganization of history encoding in the retrosplenial cortex supports flexible decision-making strategies
Neuron 2026cited by 0position: contributordoi
Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning
Science 2025cited by 51position: lastdoi
Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning.
2025cited by 21position: contributordoi
Motor learning refines thalamic influence on motor cortex
Nature 2025cited by 11position: lastdoi
Motor learning refines thalamic influence on motor cortex.
2025cited by 7position: contributordoi
Cholinergic feedback for modality- and context-specific modulation of sensory representations
Science 2025cited by 3position: lastdoi
Optogenetic restoration of neuron subtype-specific cortical activity ameliorates motor deficits in Huntington’s Disease mice
2025cited by 2position: contributordoi
Cholinergic feedback for modality- and context-specific modulation of sensory representations.
2025cited by 1position: contributordoi
Targeted stimulation of motor cortex neural ensembles drives learned movements
2025cited by 0position: contributordoi
Complementary cortical and thalamic contributions to cell-type-specific striatal activity dynamics during movement
2025cited by 0position: contributordoi
High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings
Nature Nanotechnology 2024cited by 60position: middledoi
High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings.
2024cited by 36position: contributordoi
Local and global predictors of synapse elimination during motor learning.
2024cited by 20position: contributordoi
Learning and Control in Motor Cortex across Cell Types and Scales.
2024cited by 2position: contributordoi
Divergent Learning-Related Transcriptional States of Cortical Glutamatergic Neurons.
2024cited by 1position: contributordoi
Cholinergic feedback for context-specific modulation of sensory representations
bioRxiv (Cold Spring Harbor Laboratory) 2024cited by 0position: lastdoi
Global and subtype-specific modulation of cortical inhibitory neurons regulated by acetylcholine during motor learning.
2024cited by 0position: contributordoi
Cholinergic feedback for context-specific modulation of sensory representations
2024cited by 0position: contributordoi
Author Correction: Meta-reinforcement learning via orbitofrontal cortex.
2024cited by 0position: contributordoi
AlphaTracker: a multi-animal tracking and behavioral analysis tool
Frontiers in Behavioral Neuroscience 2023cited by 60position: middledoi
Meta-reinforcement learning via orbitofrontal cortex
Nature Neuroscience 2023cited by 58position: lastdoi
Meta-reinforcement learning via orbitofrontal cortex.
2023cited by 45position: contributordoi
AlphaTracker: a multi-animal tracking and behavioral analysis tool.
2023cited by 44position: contributordoi
Exponential history integration with diverse temporal scales in retrosplenial cortex supports hyperbolic behavior.
2023cited by 8position: contributordoi
Diversity of primate brain cells unraveled.
2023cited by 3position: contributordoi
Cellular Calcium Activity at Depth Predicted from Surface Potential Recordings using Ultra-high Density Transparent Graphene Arrays
2023cited by 0position: contributordoi
Super-resolution with Binary Priors: Theory and Algorithms.
2023cited by 0position: contributordoi
Rewiring Dynamics of Functional Connectomes during Motor-Skill Learning
Data Science in Science 2023cited by 0position: contributordoi
Learning binds new inputs into functional synaptic clusters via spinogenesis
Nature Neuroscience 2022cited by 99position: lastdoi

Grants

Collaborative Research: MEMONET: Understanding memory in neuronal networks through a brain-inspired spin-based artificial intelligence
NSF1940202$435,4782019–2022PIRePORTER
Collaborative Research: Autonomous Computing Materials
NSF1940181$345,9152019–2022PIRePORTER

Frequent collaborators

· 31 papers (2019–2026)Chi Ren · Hebei Agricultural University8 papers (2017–2025)Eun Jung Hwang · Pusan National University Yangsan Hospital8 papers (2016–2022)Ryoma Hattori · Scripps Research Institute6 papers (2017–2023)Nathan G. Hedrick · University of California San Diego5 papers (2016–2025)Byungkook Lim · La Jolla Alcohol Research5 papers (2022–2026) · 5 papers (2022–2025)Andrew J. Peters · University of Oxford5 papers (2013–2017)Byung Kook Lim · Allen Institute for Brain Science4 papers (2019–2025) · 4 papers (2021–2025) · 4 papers (2023–2024) · 4 papers (2019–2023)Duygu Kuzum · University of California San Diego4 papers (2017–2024)Ying Zhang · Massachusetts Institute of Technology3 papers (2020–2022)Jeffry S. Isaacson · University of California San Diego3 papers (2012–2015)Claudia Mewes · University of Alabama3 papers (2020–2022)Madan Mukundan · University of California San Diego3 papers (2017–2021)Hiroyuki Kato · University of North Carolina at Chapel Hill3 papers (2012–2015) · 3 papers (2020–2022)Jeffrey E. Dahlen · University of California San Diego3 papers (2017–2021)