Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
从群体尺度上的下一步尖峰预测隐式行为解码
机构 * Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA, USA(加州大学圣克ruz分校电气与计算机工程系) ; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA(加州大学圣克ruz分校基因组研究所) ; Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA(加州大学圣克ruz分校生物分子工程系) ; Department of Applied Mathematics, University of California, Santa Cruz, CA, USA(加州大学圣克ruz分校应用数学系) ; Department of Computer Science and Engineering, University of California, Santa Cruz, CA, USA(加州大学圣克ruz分校计算机科学与工程系)
专题命中 神经信号处理 :brain-computer interface(abstract);分类 q-bio.NC、cs.LG
AI总结 本文提出利用单个Mamba预测器在一次前向传递中实现神经群体活动预测和动物行为状态解码,通过轻量级线性头在匹配时间上下文中优于原始尖峰计数解码,验证了在Steinmetz视觉辨别基准上的有效性。
Comments 21 pages, 6 figures, 5 tables; submitted to NeurIPS 2026 Neuroscience & Cognitive Science Track