Md Musabbir Adnan

According to our database1, Md Musabbir Adnan authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Single Chip SPAD Based Vision Sensing System With Integrated Memristive Spiking Neuromorphic Processing.
IEEE Access, 2023

2022
Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System.
ACM J. Emerg. Technol. Comput. Syst., 2022

On-Chip Interface for Event based Sensor and Spiking Neuromorphic Processing.
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

2021
A system design perspective on neuromorphic computer processors.
Neuromorph. Comput. Eng., 2021

Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware.
ACM J. Emerg. Technol. Comput. Syst., 2021

Capacitor-Less Memristive Integrate-and-Fire Neuron with Stochastic Behavior.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

2020
Device-aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning.
ACM J. Emerg. Technol. Comput. Syst., 2020

Circuit Techniques for Efficient Implementation of Memristor Based Reservoir Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
Design Considerations for Insulator Metal Transition based Artificial Neurons.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

Stochasticity in Neuromorphic Computing: Evaluating Randomness for Improved Performance.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

A Scan Register Based Access Scheme for Multilevel Non-Volatile Memristor Memory.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2018
Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems.
Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

A Novel Scan-In Scheme for CMOS/ReRAM Programmable Logic Circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017
Evaluating online-learning in memristive neuromorphic circuits.
Proceedings of the Neuromorphic Computing Symposium, 2017


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