Exploring the connection between binary and spiking neural networks
S Lu, A Sengupta - Frontiers in neuroscience, 2020 - frontiersin.org
On-chip edge intelligence has necessitated the exploration of algorithmic techniques to
reduce the compute requirements of current machine learning frameworks. This work aims …
reduce the compute requirements of current machine learning frameworks. This work aims …
Toward the optimal design and FPGA implementation of spiking neural networks
The performance of a biologically plausible spiking neural network (SNN) largely depends
on the model parameters and neural dynamics. This article proposes a parameter …
on the model parameters and neural dynamics. This article proposes a parameter …
On the self-repair role of astrocytes in STDP enabled unsupervised SNNs
Neuromorphic computing is emerging to be a disruptive computational paradigm that
attempts to emulate various facets of the underlying structure and functionalities of the brain …
attempts to emulate various facets of the underlying structure and functionalities of the brain …