Pyramidal Neuron as Two-Layer Neural Network

2003/03/01 by Panayiota Poirazi, Terrence Brannon, Bartlett W. Mel · 2 voices · 21 citations
Neuroscience · #Neural dynamics and brain function #Neurobiology and Insect Physiology Research #Visual perception and processing mechanisms

paper · pdf · doi:10.1016/s0896-6273(03)00149-1

crossref issued 2003/03/01 · crossref published 2003/03/01 · crossref published-print 2003/03/01 · openalex publication_date 2003/03/01 · crossref created 2004/04/21 · crossref deposited 2019/02/10 · openalex created_date 2025/10/10 · crossref indexed 2026/07/31 · openalex updated_date 2026/07/31

Citations

• The NEURON Simulation Environment

Cited by

• Learning arbitrary dynamics in efficient, balanced spiking networks\n using local plasticity rules
• Active dendrites enable robust spiking computations despite timing jitter
• Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome
• A unified law for inhibitory control in active dendrites
• Parallel and Recurrent Cascade Models as a Unifying Force for Understanding Subcellular Computation
• Compartmentalized dendritic plasticity in the mouse retrosplenial cortex links contextual memories formed close in time
• NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs
• What can a neuron compute
• How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites
• DENDRITIC COMPUTATION
• Dendritic action potentials and computation in human layer 2/3 cortical neurons
• The decade of the dendritic NMDA spike
• Geometry of Spatial Memory Replay
• Keeping Your Brain in Balance: Homeostatic Regulation of Network Function
• La fente et la représentation successorale
• Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators
• Dendrites and conformal symmetry
• Excitable mechanics embodied in a walking cilium
• Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
• Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
• Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics

Discussions

• 🌿 Dendrites generate local regenerative events and mimic the spiking profile of a soma, acting like multi-layer ANNs! 🤯 doi.org/10.1016/s089... Dends enable complex computations, like logical opera [bsky, 3 points, 1 comments]
• But keep in mind that all those layers are needed just because the _ANN model_ ignores the true dendritic complexity & dynamics. Also, this idea is old; see work by Bartlett Mel et al https://doi.org/ [bsky, 0 points, 1 comments]