Area of research
Cognitive Neuroscience · Artificial Intelligence
Research interest
Research interests include Computer science, Neuroscience, Artificial intelligence, Sensory system, Artificial neural network, and Statistical physics.
Coding schemes in neural networks learning classification tasks
Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatial
Unified theoretical framework for wide neural network learning dynamics
Simplified derivations for high-dimensional convex learning problems
Representations and generalization in artificial and brain neural networks
Statistical mechanics of deep learning
Neural representational geometry underlies few-shot concept learning
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics
Associative memory of structured knowledge
Stochastic consolidation of lifelong memory
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures
Minimum perturbation theory of deep perceptual learning
Locally ordered representation of 3D space in the entorhinal cortex
New role for circuit expansion for learning in neural networks
Separability and geometry of object manifolds in deep neural networks
Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex
Young adult-born neurons improve odor coding by mitral cells
Functional diversity among sensory neurons from efficient coding principles
Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish
Classification and Geometry of General Perceptual Manifolds
Coherent chaos in a recurrent neural network with structured connectivity
Learning Data Manifolds with a Cutting Plane Method
Optimal Degrees of Synaptic Connectivity
Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity
From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response
The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks
Linear readout of object manifolds
Optimal Architectures in a Solvable Model of Deep Networks
Evidence of Change of Intention in Picking Situations
Sparseness and Expansion in Sensory Representations