Plasticity and Learning Algorithms in Models of the Single Neuron - August 25, 2022
Channel: Numenta
Date: 2022-09-06

The neurons we use in today’s deep learning systems are extremely simple compared to their biological counterparts. In this meeting, guest speaker Toviah Moldwin explored the abilities of a single biological neuron with extended dendrites and synapses and introduced a potential biological model of plasticity that might enable better learning in neural networks.

Work done by: Toldvin Moldwin, Menachem Kalmenson, Li Shay Azran, and Idan Segev from the Edmond and Lily Safra Center for Brain Sciences (ELSC) at the Hebrew University of Jerusalem

Topics covered & related papers: 
1/ Biophysical Perceptron
          ➤ “Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell”: https://www.frontiersin.org/articles/10.3389/fncom.2020.00033/full

2/ The Gradient Clusteron (G-Clusteron)
         ➤  “The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent”: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009015

3/ Fixed Point - Learning Rate (FPLR) Framework for Calcium

4/ The Calcitron

5/ Hierarchical Heterosynaptic Plasticity
         ➤  "Asymmetric voltage attenuation in dendrites enables hierarchical heterosynaptic plasticity”: https://www.biorxiv.org/content/10.1101/2022.07.07.499166v1 
- - - - - 
Numenta has developed breakthrough advances in AI technology that enable customers to achieve 10-100X improvement in performance across broad use cases, such as natural language processing and computer vision. Backed by two decades of neuroscience research, we developed a framework for intelligence called The Thousand Brains Theory. By leveraging these discoveries and applying them to AI systems, we’re able to deliver extreme performance improvements and unlock new capabilities.

Subscribe to our News Digest for the latest news about neuroscience and artificial intelligence:
https://numenta.com/news-digest/

Subscribe to our Newsletter for the latest Numenta updates:
https://tinyurl.com/NumentaNewsletter

Our Social Media: 
https://twitter.com/Numenta
https://www.facebook.com/OfficialNumenta
https://www.linkedin.com/company/numenta

Our Open Source Resources:
https://github.com/numenta
https://discourse.numenta.org/

Our Website: 
https://numenta.com/