Neural networks and
population coding
🧠
Daniel Fürth
Assistant professor
SciLifeLab/Uppsala University
🔗 furthlab.xyz
@furthlab
Networks
🥁 Rate coding
Edgar Adrian and Yngve Zotterman.
🥁 Rate coding
A Logical Calculus of Ideas Immanent in Nervous Activity
Warren McCulloch (MIT)
Walter Pitts (MIT)
McCulloch-Pitts model
🧠 Perceptron
What the Frog’s Eye Tells the Frog’s Brain
What the Frog’s Eye Tells the Frog’s Brain
Retinal ganglion cells in the frog’s eye are specialized to detect specific types of visual information:
- movement
- contrast
- light intensity
Features, rather than forming a complete image by representing parts of the image.
Neural coding
Rate coding
Temporal coding
Population coding
Tuning curves
Temporal code
Population coding
Population coding
Recording multiple neurons at the same time
For updated list: https://stevenson.lab.uconn.edu/scaling/
Neuropixels
Detecting individual neurons through their spike shape
Spike sorting
Spike sorting is the process of isolating and classifying electrical signals from individual neurons recorded by electrodes, enabling the analysis of neural activity at the single-cell level.
Calcium imaging: Genetically encoded calcium indicators
- genetically encoded calcium indicator (GECI)
- 🟢 green fluorescent protein (GFP)
- 🔵 calmodulin (CaM), a calcium-binding messenger protein
- 🟠 M13, a peptide sequence from myosin light-chain kinase.
Direction sensitivity in vision cortex
Direction sensitivity in vision cortex
