19 citations · 147 across the 38 of their papers we have counts for
4 papers · 1 filter
Visualizing Representational Dynamics with Multidimensional Scaling Alignment
Baihan Lin, Marieke Mur, Tim Kietzmann +1
Representational similarity analysis (RSA) has been shown to be an effective framework to characterize brain-activity profiles and deep neural network activations as representation…
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi
Drawing an inspiration from behavioral studies of human decision making, we propose here a general parametric framework for a reinforcement learning problem, which extends the stan…
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf +2
Drawing an inspiration from behavioral studies of human decision making, we propose here a more general and flexible parametric framework for reinforcement learning that extends st…
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers
Baihan Lin
Inspired by the adaptation phenomenon of neuronal firing, we propose the regularity normalization (RN) as an unsupervised attention mechanism (UAM) which computes the statistical r…