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ORCIDShahin Hashemkhani
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2020 – today
- 2023
[j2]Kangni Liu
, Shahin Hashemkhani, Jonathan E. Rubin, Rajkumar Kubendran:
BioNN: Bio-Mimetic Neural Networks on Hardware Using Nonlinear Multi-Timescale Mixed-Feedback Control for Neuromodulatory Bursting Rhythms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 914-926 (2023)- [c8]Vijay Shankaran Vivekanand, Shahin Hashemkhani, Shanmuga Venkatachalam, Rajkumar Kubendran:
Robot Locomotion Control Using Central Pattern Generator with Non-linear Bio-mimetic Neurons. ICARA 2023: 102-106 - [c7]Vijay Shankaran Vivekanand, Samarth Chopra, Shahin Hashemkhani, Rajkumar Chinnakonda Kubendran:
Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms. ICONS 2023: 5:1-5:7 - [c6]Kangni Liu, Shahin Hashemkhani, Jonathan E. Rubin, Rajkumar Kubendran:
Neuromorphic Networks using Nonlinear Mixed-feedback Multi-timescale Bio-mimetic Neurons. ISCAS 2023: 1-5 - 2022
- [j1]Saverio Ricci, Piergiulio Mannocci, Matteo Farronato, S. Hashemkhani, Daniele Ielmini:
Forming-Free Resistive Switching Memory Crosspoint Arrays for In-Memory Machine Learning. Adv. Intell. Syst. 4(8) (2022) - [c5]Matteo Farronato, Margherita Melegari, Saverio Ricci, Shahin Hashemkhani, Christian Monzio Compagnoni, Daniele Ielmini:
Low-current, highly linear synaptic memory device based on MoS2 transistors for online training and inference. AICAS 2022: 1-4 - [c4]Javad Ahmadi-Farsani, Saverio Ricci, Shahin Hashemkhani, Daniele Ielmini, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona:
A Hybrid Memristor/CMOS SNN for Implementing One-Shot Winner-Takes-All Training. ISCAS 2022: 210-214 - 2020
- [c3]Stefano Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini:
A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks. ISCAS 2020: 1-5 - [c2]I. Muñoz-Martín, Stefano Bianchi, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini:
Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning. ISCAS 2020: 1-5 - [c1]Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, Octavian Melnic, Elisabetta Chicca, Daniele Ielmini:
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. ISCAS 2020: 1-5
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