Ji-An Li
@ji-an-li.bsky.social
NGP student at UCSD | Computational neuroscience | Neural networks | Marcelo Mattar Lab | Marcus Benna Lab
Pinned
Ji-An Li
@ji-an-li.bsky.social
· Jul 2
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...
Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
doi.org
Thank you for the consistent support from
@marcelomattar.bsky.social, Marcus, and all my friends and colleagues!
@marcelomattar.bsky.social, Marcus, and all my friends and colleagues!
Thank you for the consistent support from
@marcelomattar.bsky.social, Marcus, and all my friends and colleagues!
@marcelomattar.bsky.social, Marcus, and all my friends and colleagues!
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...
Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
doi.org
July 2, 2025 at 9:32 PM
Thank you for the consistent support from
@marcelomattar.bsky.social, Marcus, and all my friends and colleagues!
@marcelomattar.bsky.social, Marcus, and all my friends and colleagues!