Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

An overview of the proposed HESFOL framework. We employ 2D

Color online) (a) Number of neurons retaining the initially memorized

Neural heterogeneity promotes robust learning

引入树突状结构，将树突结构整合进脉冲神经网络中- 智源社区

PDF) Dendrify: a new framework for seamless incorporation of dendrites in Spiking Neural Networks

Running simulations with Brian2GeNN. Top: Excerpt from an example Brian

PDF) Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Frontiers SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory

Local dendritic balance enables learning of efficient representations in networks of spiking neurons

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Towards deep learning with segregated dendrites

New Software Incorporates Dendritic Properties Into Neural Network Models - Neuroscience News