BI 167 Panayiota Poirazi: AI Brains Need Dendrites

Computational Neuroscience, Artificial Intelligence and podcast with Panayiota Poirazi

Brain Inspired, Hosted by Paul Middlebrooks

Published May 27, 2023 1 h 28 min

About

Panayiota Poirazi discusses dendritic computation and why artificial networks may benefit from richer neuron models. The conversation examines how dendrites contribute to learning and memory, the relationship between biological detail and useful abstraction, and the potential of dendritic mechanisms to improve artificial intelligence.

Topics

dendritic computation dendrites artificial networks neuron models learning memorybiological detailuseful abstractiondendritic mechanismsArtificial Intelligence

BI 167 Panayiota Poirazi: AI Brains Need Dendrites

About

Topics

On growing synthetic dendrites – with Hermann Cuntz - #25

BI 231 Jaan Aru: Conscious AI? Not Even Close!

BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys

BI 198 Tony Zador: Neuroscience Principles to Improve AI

BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI

Bernstein Conference 2027

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning

DendroTweaks: An interactive approach for unraveling dendritic dynamics

Investigating the synaptic correlates of Alzheimer’s disease in the retrosplenial cortex of 5xFAD mice

BI 167 Panayiota Poirazi: AI Brains Need Dendrites

About

Topics

Related episodes

More from Brain Inspired

More with Panayiota Poirazi