Illuminating dendritic function with computational models
Dendrites have always fascinated researchers: from the artistic drawings by Ramon y Cajal
to the beautiful recordings of today, neuroscientists have been striving to unravel the …
to the beautiful recordings of today, neuroscientists have been striving to unravel the …
Drawing inspiration from biological dendrites to empower artificial neural networks
This article highlights specific features of biological neurons and their dendritic trees, whose
adoption may help advance artificial neural networks used in various machine learning …
adoption may help advance artificial neural networks used in various machine learning …
Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction
An artificial neural network (ANN) that mimics the information processing mechanisms and
procedures of neurons in human brains has achieved a great success in many fields, eg …
procedures of neurons in human brains has achieved a great success in many fields, eg …
Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites
Neural dendrites play a critical role in various cognitive functions, including spatial
navigation, sensory processing, adaptive learning, and perception. The spatial layout, signal …
navigation, sensory processing, adaptive learning, and perception. The spatial layout, signal …
[HTML][HTML] Emulating dendritic computing paradigms on analog neuromorphic hardware
BrainScaleS-2 is an accelerated and highly configurable neuromorphic system with physical
models of neurons and synapses. Beyond networks of spiking point neurons, it allows for the …
models of neurons and synapses. Beyond networks of spiking point neurons, it allows for the …
[HTML][HTML] Human cortical pyramidal neurons: from spines to spikes via models
We present detailed models of pyramidal cells from human neocortex, including models on
their excitatory synapses, dendritic spines, dendritic NMDA-and somatic/axonal Na+ spikes …
their excitatory synapses, dendritic spines, dendritic NMDA-and somatic/axonal Na+ spikes …
Dendritic computing: branching deeper into machine learning
In this paper, we discuss the nonlinear computational power provided by dendrites in
biological and artificial neurons. We start by briefly presenting biological evidence about the …
biological and artificial neurons. We start by briefly presenting biological evidence about the …
The dendritic engram
Accumulating evidence from a wide range of studies, including behavioral, cellular,
molecular and computational findings, support a key role of dendrites in the encoding and …
molecular and computational findings, support a key role of dendrites in the encoding and …
Dendrites help mitigate the plasticity-stability dilemma
With Hebbian learning 'who fires together wires together', well-known problems arise.
Hebbian plasticity can cause unstable network dynamics and overwrite stored memories …
Hebbian plasticity can cause unstable network dynamics and overwrite stored memories …
Local dendritic balance enables learning of efficient representations in networks of spiking neurons
How can neural networks learn to efficiently represent complex and high-dimensional inputs
via local plasticity mechanisms? Classical models of representation learning assume that …
via local plasticity mechanisms? Classical models of representation learning assume that …