János Vörös

This paper introduces a reinforcement learning framework for controlling engineered neuronal networks to identify stimulation patterns that drive specific activity motifs.

The paper introduces hydroMEA, a 3D hydrogel-based microfluidic device that enables real-time electrophysiological measurements of myelinated nerve-on-chip systems using human iPSC-derived neurons and Schwann cells.

This study uses an in vitro platform to show that glioblastoma induces progressive reorganisation of neuronal networks, leading to altered network dynamics and reduced computational capacity.

This paper introduces a water compartment cell culture lid that enables stable, long-term electrophysiological recordings of neuronal networks in vitro.

The paper develops an in vitro platform with biophysical modeling to study synaptic transmission in isolated human neuronal pairs, revealing receptor-specific changes in long-term potentiation.

This paper develops a three-compartment microfluidic platform to study signal transmission in the human sensory pathway and finds keratinocytes modulate neuronal activity and exhibit low-pass filtering properties.

The paper introduces inkube, an open-source system for culturing neurons, electrophysiology, and fluidic exchange, showing that environmental factors like temperature and medium evaporation significantly affect neuronal spiking behavior.

This paper develops an in vitro platform to measure electrophysiological responses of individual human iPSC-derived nociceptors and identifies distinct response profiles and effects of capsaicin.

This paper develops an implantable biohybrid nerve model for synaptic deep brain stimulation, demonstrating in vitro and in vivo functionality for over 22 days.

This paper demonstrates in vitro neuronal networks capable of performing Boolean computations like NAND and OR using controlled topology and extracellular stimulation.

This study uses FluidFM technology to automatically pick and place neuronal spheroids and single cells to construct accurate neuronal circuits.

The paper introduces a modular and flexible open-source cell incubator system for both mobile and stationary use, enabling customized incubation for diverse experimental needs.

This study develops an in vitro retinothalamic nerve model using microfluidic channels to investigate signal transmission and network integrity.

This paper introduces a scalable neural recording system using nanocapacitor arrays with code division multiplexing, enabling simultaneous recordings from 1,024 electrodes.

This study investigates how microchannel width and spatial constraints affect axon growth in brain-on-chip systems, finding that restrictions smaller than 350nm prevent axon penetration.

This paper develops in vitro neuron-glia circuits using human iPSC-derived neurons and rat glia to test neuroactive compounds.

This paper develops a method to pattern neuronal circuits in vitro using nanoscale structures to guide synapse formation between isolated neuron groups.

This paper describes a method to engineer biological neural networks on high-density CMOS microelectrode arrays to improve spatial resolution and axon guidance.

The paper presents a method to create topologically controlled circuits of human iPSC-derived neurons for long-term electrophysiology recordings.

The paper introduces Opto-E-Dura, a soft, stretchable ECoG array that enables multimodal, multi-scale neuroscience studies through optical and electrical integration.