Stephen A. Baccus Lab
Stephen A. BaccusHow retinal circuits transform visual information, adapt and compute; models that connect predictions to mechanisms.
6 lessons · ~45 minutes
Explore the labResearch topic
Neural coding
How spike patterns and population activity represent information.
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Recommended through the concepts linked to this topic. Each lesson belongs to an existing learning series.
Core background
Neural Circuits, Vision, and Computation
How do we measure a neural computation?Interpret spike trains, raster plots, and firing rates from electrophysiology and imaging.
Supports: Neural coding
Neural Circuits, Vision, and Computation
What does it mean for a neural circuit to compute?Describe a neural computation as a transformation from input to output.
Supports: Neural coding
Decode Life: AI & Computational Biology
Spike trains and firing ratesA spike train is a list of event times.
Supports: Neural coding
Important papers
Neuron 111:2742–2755 · 2023
Interpreting the retinal neural code for natural scenes: from computations to neurons
Maheswaranathan N, McIntosh LT, Tanaka H, Grant S, Kastner DB, Melander JB, Nayebi A, Brezovec LE, Wang JH, Ganguli S, Baccus SA
Why this matters: Connects predictive retinal models to interpretable computations.
DOI: 10.1016/j.neuron.2023.06.007