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BrainWideBench announced to evaluate neural-activity models across animals and tasks

A project co-lead calls rigorous, standardized evaluation a major bottleneck in modeling neural data, arguing that techniques need testing under multiple regimes and downstream tasks.

2 Sources, 20d ago, first seen 20d ago

TLDR

A project co-lead announced BrainWideBench, a new benchmark for evaluating how models of neural activity generalize across animals and tasks. The announcement presents standardized evaluation as a major challenge for the field and links to the team's paper on arXiv.

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2 Sources

Shivashriganesh Mahato@shivashriganeshWe’re excited to share BrainWideBench, a new benchmark for evaluating how models of neural activity generalize across animals and tasks! A major bottleneck in modeling neural data today is rigorous and standardized evaluation. Modelling techniques need to be tested under multiple regimes and downstream tasks. 📄 Check out the paper here! https://arxiv.org/abs/2609.22064 Special shoutout to @alx_adr, who co-led this work with me and contributed equally as co-first authors!20d
Blake Richards@tyrell_turingRT @shivashriganesh: We’re excited to share BrainWideBench, a new benchmark for evaluating how models of neural activity generalize across…20d
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    2 Sources

    Shivashriganesh Mahato@shivashriganeshWe’re excited to share BrainWideBench, a new benchmark for evaluating how models of neural activity generalize across animals and tasks! A major bottleneck in modeling neural data today is rigorous and standardized evaluation. Modelling techniques need to be tested under multiple regimes and downstream tasks. 📄 Check out the paper here! https://arxiv.org/abs/2609.22064 Special shoutout to @alx_adr, who co-led this work with me and contributed equally as co-first authors!20d
    Blake Richards@tyrell_turingRT @shivashriganesh: We’re excited to share BrainWideBench, a new benchmark for evaluating how models of neural activity generalize across…20d
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