68 citations · 306 across the 30 of their papers we have counts for
31 papers
Cortex and subcortex play distinct roles over learning when cortical memory is limited
Matthew Farrell, Taro Toyoizumi
It has been proposed that the brain integrates flexible, computationally expensive cortical processing with simpler, lower-cost subcortical mechanisms to achieve resource-efficient…
Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
Yuri Kinoshita, Naoki Nishikawa, Taro Toyoizumi
Dataset distillation, a training-aware data compression technique, has recently attracted increasing attention as an effective tool for mitigating costs of optimization and data st…
Reshaping Neural Representation via Associative, Presynaptic Short-Term Plasticity
Genki Shimizu, Taro Toyoizumi
Short-term synaptic plasticity (STP) is often regarded as a presynaptic filter of spikes, independent of postsynaptic activity. Recent experiments, however, indicate an associative…
Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay
Genki Shimizu, Taro Toyoizumi
Sequential neural activity is fundamental to cognition, yet how diverse sequences are recalled under biological constraints remains a key question. Existing models often struggle t…
An anticipated surprise-hazard framework for risky intertemporal choices
Ho Ka Chan, Taro Toyoizumi
People frequently deviate from classical utility theories when making risky and intertemporal decisions. While the effects of risk and temporal delay have been extensively studied…
Beyond variance: sensitivity-based dimensions in brain networks underlie individual differences in cognitive ability
Sida Chen, Siqi Yang, Zhao Chang +5
Explaining individual differences in cognitive abilities requires both identifying brain parameters that vary across individuals and understanding how brain networks are recruited…