HOMETotal 1717, list per page:
- Circuit-Based Quantum Random Access Memory for Classical Data
Scientific Reports / / 2019 / Rhee, June-Koo / KIAI > AI Emergings
- Neurostimulation Reveals Context-Dependent Arbitration Between Model-Based and Model-Free Reinforcement Learning
Cerebral Cortex / / 2019 / Lee, Sang Wan / KIAI > AI Emergings
- Decision-making in Brains and Robots - The Case for an Interdisciplinary Approach
Current Opinion in Behavioral Sciences / / 2019 / Lee, Sang Wan / KIAI > AI Emergings
- Toward High-performance, Memory-efficient, and Fast Reinforcement Learning-lessons from Decision Neuroscience
Science Robotics / / 2019 / Lee, Sang Wan / KIAI > AI Emergings
- The Function of PLCγ1 in Developing Mouse mDA System
Advances in Biological Regulation / / 2019 / Kim, Daesoo / KIAI > AI Emergings
- βPix Heterozygous Mice Have Defects in Neuronal Morphology and Social Interaction
Biochemical and Biophysical Research Communications / / 2019 / Kim, Daesoo / KIAI > AI Emergings
- Dentate Granule and Mossy Cells Exhibit Distinct Spatiotemporal Responses to Local Change in a One-dimensional Landscape of Visual-tactile Cue
Scientific Reports / / 2019 / Kim, Daesoo / KIAI > AI Emergings
- Egocentrically-stable Discriminative Stimulus-based Spatial Navigation in Mice: Implementation and Comparison with Allocentric Cues
Scientific Reports / / 2019 / Kim, Daesoo / KIAI > AI Emergings
- Rapid, Biphasic CRF Neuronal Responses Encode Positive and Negative Valence
Nature Neuroscience / / 2019 / Kim, Daesoo / KIAI > AI Emergings
- Mumford-Shah Loss Functional for Image Segmentation with Deep Learning
IEEE Transactions on Image Processing / / 2019 / Ye, JongChul / KIAI > AI Applications