Shahin Hashemkhani

According to our database, Shahin Hashemkhani authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BioNN: Bio-Mimetic Neural Networks on Hardware Using Nonlinear Multi-Timescale Mixed-Feedback Control for Neuromodulatory Bursting Rhythms.

Kangni Liu, Shahin Hashemkhani, Jonathan E. Rubin, Rajkumar Kubendran

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Neuromorphic Networks using Nonlinear Mixed-feedback Multi-timescale Bio-mimetic Neurons.

Kangni Liu, Shahin Hashemkhani, Jonathan E. Rubin, Rajkumar Kubendran

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms.

Vijay Shankaran Vivekanand, Samarth Chopra, Shahin Hashemkhani, Rajkumar Chinnakonda Kubendran

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Robot Locomotion Control Using Central Pattern Generator with Non-linear Bio-mimetic Neurons.

Vijay Shankaran Vivekanand, Shahin Hashemkhani, Shanmuga Venkatachalam, Rajkumar Kubendran

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

2022

Forming-Free Resistive Switching Memory Crosspoint Arrays for In-Memory Machine Learning.

Saverio Ricci, Piergiulio Mannocci, Matteo Farronato, S. Hashemkhani, Daniele Ielmini

Adv. Intell. Syst., 2022

A Hybrid Memristor/CMOS SNN for Implementing One-Shot Winner-Takes-All Training.

Javad Ahmadi-Farsani, Saverio Ricci, Shahin Hashemkhani, Daniele Ielmini, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Low-current, highly linear synaptic memory device based on MoS² transistors for online training and inference.

Matteo Farronato, Margherita Melegari, Saverio Ricci, Shahin Hashemkhani, Christian Monzio Compagnoni, Daniele Ielmini

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2020

A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making.

Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, Octavian Melnic, Elisabetta Chicca, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning.

I. Muñoz-Martín, Stefano Bianchi, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks.

Stefano Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020