Duygu Kuzum

Flexible 3D multimodal organoid interface reveals functional subnetworks and coordinated circuit activity in cortical organoids

This paper introduces INFORM, a multimodal interface for cortical organoids that enables long-term recordings and modulation of neural activity, revealing functional subnetworks and inhibitory signaling.

A neurorecording toolkit for longitudinal assessments of transplanted human cortical organoids in vivo

This paper presents a neurorecording toolkit to longitudinally assess transplanted human cortical organoids in vivo, showing increased neuronal activity and synchronicity over time.

Cellular Calcium Activity at Depth Predicted from Surface Potential Recordings using Ultra-high Density Transparent Graphene Arrays

The paper develops high-density transparent graphene electrodes to record neural activity from deeper cortical layers and decodes calcium activity from surface potentials using dimensionality reduction and neural networks.

E-Cannula reveals anatomical diversity in sharp-wave ripples as a driver for the recruitment of distinct hippocampal assemblies

The paper introduces E-Cannula, a tool for simultaneous electrical and optical recording in the hippocampus, revealing anatomical diversity in sharp-wave ripples and their association with distinct cell assemblies.

Multimodal monitoring of human cortical organoids implanted in mice using transparent graphene microelectrodes reveal functional connection between organoid and mouse visual cortex

The paper demonstrates functional connectivity between human cortical organoids and mouse visual cortex using transparent graphene microelectrodes and two-photon imaging.

Decoding of cortex-wide brain activity from local recordings of neural potentials

This study decodes large-scale cortical activity from local surface potentials using a recurrent neural network, showing that surface potentials contain rich information about neural activity across multiple regions.

A biophysical computational model for memory trace transfer from hippocampus to neocortex

This paper builds a biophysical model to study how memory traces are transferred from the hippocampus to the prefrontal cortex through ripple events and identifies two retrieval mechanisms.