5 citations · 5 across the 3 of their papers we have counts for
4 papers
A Time-Resolved Framework for Quantifying Neuronal Network State Transitions
Ilya Auslender, Yasaman Heydari, Asiye Malkoç +3
Electrophysiological recordings provide powerful tools for characterizing the dynamics of neuronal networks. In vitro neuronal cultures offer a controlled setting for investigating…
Graph Analysis of Neuronal-Culture Connectivity Derived from a Reservoir-Computing Model
Ilya Auslender, Giorgio Letti, Yasaman Heydari +1
Graph-theoretical analysis offers a principled framework for quantifying emergent dynamics in neuronal cultures. Here, we present an analytical pipeline for inferring network-level…
A Frequency-Optimized Optogenetic Study of Network-Level Potentiation in Cortical Cultures on Microelectrode Arrays
Matteo Dominici, Ilya Auslender, Clara Zaccaria +2
Objective. Long-term potentiation (LTP) is a fundamental mechanism underlying learning and memory, yet its investigation at the network level in vitro remains challenging, particul…
Decoding Neuronal Networks: A Reservoir Computing Approach for Predicting Connectivity and Functionality
Ilya Auslender, Giorgio Letti, Yasaman Heydari +2
In this study, we address the challenge of analyzing electrophysiological measurements in neuronal networks. Our computational model, based on the Reservoir Computing Network (RCN)…