Area of research
Cellular and Molecular Neuroscience · Cognitive Neuroscience
Research interest
Research interests include Computer science, Neuroscience, Local field potential, Memristor, Interfacing, and Neuromorphic engineering.
Interfacing Biology and Electronics with Memristive Materials
Early Detection of Alzheimer’s Disease From Cortical and Hippocampal Local Field Potentials Using an Ensembled Machine Learning Model
Increased fMRI connectivity upon chemogenetic inhibition of the mouse prefrontal cortex
Disentangling the critical signatures of neural activity
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning
Understanding the Effects of Anesthesia on Cortical Electrophysiological Recordings: A Scoping Review
Neuronal Avalanches Across the Rat Somatosensory Barrel Cortex and the Effect of Single Whisker Stimulation
Memristive synapses connect brain and silicon spiking neurons
Plasticity and Adaptation in Neuromorphic Biohybrid Systems
Dampened Slow Oscillation Connectivity Anticipates Amyloid Deposition in the PS2APP Mouse Model of Alzheimer’s Disease
Applications of Deep Learning and Reinforcement Learning to Biological Data
Sub 100 nW Volatile Nano-Metal-Oxide Memristor as Synaptic-Like Encoder of Neuronal Spikes
Real-time encoding and compression of neuronal spikes by metal-oxide memristors
Trends and Challenges in Neuroengineering: Toward “Intelligent” Neuroprostheses through Brain-“Brain Inspired Systems” Communication
Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges
Differential Modulation of Excitatory and Inhibitory Neurons during Periodic Stimulation
Early hippocampal hyperexcitability in PS2APP mice: role of mutant PS2 and APP
CMOS-compatible purely capacitive interfaces for high-density in-vivo recording from neural tissue
Mechanisms underlying the attachment and spreading of human osteoblasts: From transient interactions to focal adhesions on vitronectin-grafted bioactive surfaces