日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Individual variability of neural computations underlying flexible decisions

灵活决策背后的神经计算存在个体差异

Pagan, Marino; Tang, Vincent D; Aoi, Mikio C; Pillow, Jonathan W; Mante, Valerio; Sussillo, David; Brody, Carlos D

Improved interpretability in LFADS models using a learned, context-dependent per-trial bias

利用学习到的、与上下文相关的逐次试验偏差,提高了LFADS模型的可解释性。

Shah, Nishal P; Krasa, Benyamin Abramovich; Kunz, Erin; Hahn, Nick; Kamdar, Foram; Avansino, Donald; Hochberg, Leigh R; Henderson, Jaimie M; Sussillo, David

Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activity

基于动力学的计算基准测试:神经活动动力学模型的模拟数据集和质量指标

Versteeg, Christopher; McCart, Jonathan D; Ostrow, Mitchell; Zoltowski, David M; Washington, Clayton B; Driscoll, Laura; Codol, Olivier; Michaels, Jonathan A; Linderman, Scott W; Sussillo, David; Pandarinath, Chethan

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs

循环网络中的灵活多任务计算利用共享的动态基序

Driscoll, Laura N; Shenoy, Krishna; Sussillo, David

Catalyzing next-generation Artificial Intelligence through NeuroAI

通过神经人工智能催化下一代人工智能

Zador, Anthony; Escola, Sean; Richards, Blake; Ölveczky, Bence; Bengio, Yoshua; Boahen, Kwabena; Botvinick, Matthew; Chklovskii, Dmitri; Churchland, Anne; Clopath, Claudia; DiCarlo, James; Ganguli, Surya; Hawkins, Jeff; Körding, Konrad; Koulakov, Alexei; LeCun, Yann; Lillicrap, Timothy; Marblestone, Adam; Olshausen, Bruno; Pouget, Alexandre; Savin, Cristina; Sejnowski, Terrence; Simoncelli, Eero; Solla, Sara; Sussillo, David; Tolias, Andreas S; Tsao, Doris

The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks.

通过一种训练脉冲神经网络的通用方法,证明了群体层面因素对网络计算的核心作用

DePasquale Brian, Sussillo David, Abbott L F, Churchland Mark M

One dimensional approximations of neuronal dynamics reveal computational strategy

神经元动力学的一维近似揭示了计算策略

Brennan, Connor; Aggarwal, Adeeti; Pei, Rui; Sussillo, David; Proekt, Alex

Cell-type-specific population dynamics of diverse reward computations

不同奖励计算的细胞类型特定群体动态

Emily L Sylwestrak, YoungJu Jo, Sam Vesuna, Xiao Wang, Blake Holcomb, Rebecca H Tien, Doo Kyung Kim, Lief Fenno, Charu Ramakrishnan, William E Allen, Ritchie Chen, Krishna V Shenoy, David Sussillo, Karl Deisseroth

Harnessing behavioral diversity to understand neural computations for cognition

利用行为多样性来理解认知过程中的神经计算

Musall, Simon; Urai, Anne E; Sussillo, David; Churchland, Anne K

Making brain-machine interfaces robust to future neural variability

使脑机接口能够应对未来的神经变异性

Sussillo, David; Stavisky, Sergey D; Kao, Jonathan C; Ryu, Stephen I; Shenoy, Krishna V