Area of research
Cognitive Neuroscience · Electrical and Electronic Engineering
Research interest
Research interests include Neural dynamics and brain function, Advanced Memory and Neural Computing, Neural Networks and Applications, and Neuroscience and Neuropharmacology Research.
Forgetting Leads to Chaos in Attractor Networks
Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys
Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortex
From synapse to network: models of information storage and retrieval in neural circuits
Synaptic plasticity rules with physiological calcium levels
Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning
Unsupervised Learning of Persistent and Sequential Activity
Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data
Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks
Cerebellar learning using perturbations
Toward a Neurocentric View of Learning
Bistability and up/down state alternations in inhibition-dominated randomly connected networks of LIF neurons
Is cortical connectivity optimized for storing information?
Mechanisms and functional roles of glutamatergic synapse diversity in a cerebellar circuit
Burst-Dependent Bidirectional Plasticity in the Cerebellum Is Driven by Presynaptic NMDA Receptors
Astrocytes: Orchestrating synaptic plasticity?
Inferring learning rules from distributions of firing rates in cortical neurons
Neuronal Morphology Generates High-Frequency Firing Resonance
Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition
Single neuron dynamics and computation
A Cerebellar Learning Model of Vestibulo-Ocular Reflex Adaptation in Wild-Type and Mutant Mice
Stimulus Dependence of Local Field Potential Spectra: Experiment versus Theory
Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity
Optimal Properties of Analog Perceptrons with Excitatory Weights
Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location