atlas

Research map / Probabilistic and scientific modeling / Dynamical systems

Efficient coding, channel capacity, and the emergence of retinal mosaics

NeurIPS 2022 · Probabilistic and scientific modeling › Dynamical systems · approach: Synaptic plasticity learning rules · 15 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
train on slower-video subsets (high low-frequency spectral attenuation) instead of all videos (ablation)efficient coding RGC model · Chicago Motion Databasediversity of learned temporal filter typesHurt
increase the number of available RGCs (channel capacity)efficient coding RGC model · Chicago Motion Databasenumber of emergent cell typesHelped
increase output noise (or decrease input noise)ON/OFF mosaic pairs · Slow, FastA, FastB filtersmosaic arrangementMixed

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy