Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient
Unsupervised Learning: Theory and Design Principles

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Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles

22 February 2023

Biswadeep Chakraborty

Saibal Mukhopadhyay

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Papers citing "Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles"

9 / 9 papers shown

Title
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning Biswadeep Chakraborty Saibal Mukhopadhyay 163 0 0 02 Apr 2025
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 137 1 0 10 Dec 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing Biswadeep Chakraborty Saibal Mukhopadhyay 97 2 0 08 Jul 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning Mingqing Xiao Yixin Zhu D.K. He Zhouchen Lin LRM 103 4 0 27 May 2024
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks Biswadeep Chakraborty Saibal Mukhopadhyay 80 3 0 19 Mar 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN Biswadeep Chakraborty Beomseok Kang H. Kumar Saibal Mukhopadhyay 127 11 0 06 Mar 2024
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling Shimin Zhang Qu Yang Chenxiang Ma Jibin Wu Haizhou Li Kay Chen Tan 75 19 0 25 Aug 2023
Dive into the Power of Neuronal Heterogeneity Guobin Shen Dongcheng Zhao Yiting Dong Yang Li Yi Zeng 59 3 0 19 May 2023
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction Biswadeep Chakraborty Saibal Mukhopadhyay 66 7 0 10 Apr 2023