{"url":"/dataset/nlb","name":"NLB","full_name":"Neural Latents Benchmark","description_markdown":"**Neural Latents** is a benchmark for latent variable modeling of neural population activity. It consists of four datasets of neural spiking activity from cognitive, sensory, and motor areas to promote models that apply to the wide variety of activity seen across these areas.","description_withheld":null,"homepage":"http://neurallatents.github.io","introduced_date":"2021-09-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/neural-latents-benchmark-21-evaluating-latent","title":"Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity","first_author":"Felix Pei","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["NLB"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}