Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

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

Illuminating dendritic function with computational models

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Dendrify: a new framework for adding dendrites to spiking neural networks – Poirazi Lab

PDF] Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Frontiers Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network

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

Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites - ScienceDirect

Dendrify 2.0.1

PDF] Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

PDF] Improved Expressivity Through Dendritic Neural Networks