Sara Matias

Neuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Distributional Reinforcement Learning in the Brain”.

Distributional Reinforcement Learning in the Brain

Trends in Neurosciences(2020)10.1016/j.tins.2020.09.004

N/A

0DataRank · unranked

81 citations

Zheng Qiao, Sara Matias, Jan Drugowitsch, Naoshige Uchida, Adam S. Lowet

An opponent striatal circuit for distributional reinforcement learning

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.02.573966

N/A

0DataRank · unranked

7 citations

Zheng Qiao, Melissa Meng, Sara Matias, Jan Drugowitsch, Naoshige Uchida +1 more

Interpretable deep learning for deconvolutional analysis of neural signals

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.05.574379

N/A

0DataRank · unranked

1 citations

Sara Matias, Hao Wu, Simona Temereanca, Naoshige Uchida, Venkatesh N. Murthy +3 more

Interpretable deep learning for deconvolutional analysis of neural signals

Neuron(2025)10.1016/j.neuron.2025.02.006

N/A

0DataRank · unranked

6 citations

Sara Matias, Hao Wu, Simona Temereanca, Naoshige Uchida, Venkatesh N. Murthy +3 more