论文标题
大规模神经编码的相对论量子解密
Relativistic quantum decryption of large-scale neural coding
论文作者
论文摘要
从对人类宇宙的研究到自组织大脑的研究，旋转地面地面投影在此处被利用以解决最新神经科学研究中提出的某些问题，即（i）神经代码在多维上是多维的程度； （ii）神经暗物质的功能作用； （iii）对经典模型框架的挑战，这是由于需要准确解释与大脑和行为联系起来的大规模神经记录所带来的挑战。引入了基于（超 - ）镜像超对称性的（超级）自以为是的，相对论量子原理被引入，其巩固，作为图形游戏理论结构的支柱，有助于（i）（i）（i）（i）高级复制和对核心实验的核心实验，并在核心编写方面进行了核心编写的核心实验，并且在自我构造的脑海中进行了逐步编写，并且在自我构造的脑海中，一定的核心代表，一定的核心实验，一定是一定的，并且是在自我构造的脑海中的一定范围，并且是一定的一定的一定的核心复发性，并且自发行为状态被证明最多是16个，在单向上。 （ii）（共同）行为的普通神经编码和深色神经编码的共存； （iii）旋转器（共同）表示的可能作用，是自组织皮层电路的潜在构建块（共同）行为状态； （iv）相关多维突触（共同）结构的早期结晶，洛伦兹（共同）分区原则上可验证； （v）试验性动态所维持的，作为内部状态或情感的候选动力学；最终，（vi）可能会对物质抗逆不是不对称性的逆见解。正在讨论针对健康和疾病中大规模神经编码解密的新途径。
Spin-geometrical projections, from the study of the human universe onto the study of the self-organizing brain, are herein leveraged to address certain concerns raised in latest neuroscience research, namely (i) the extent to which neural codes are multidimensional; (ii) the functional role of neural dark matter; (iii) the challenge to classical model frameworks posed by the needs for accurate interpretation of large-scale neural recordings linking brain and behavior. On the grounds of (hyper-)self-duality under (hyper-)mirror supersymmetry, relativistic quantum principles are introduced, whose consolidation, as pillars of a graphical game-theoretical construction, is conducive to (i) the high-precision reproduction and reinterpretation of core experimental observations on neural coding in the self-organizing brain, with the instantaneous geometric dimensionality of neural representations of a spontaneous behavioral state being proven to be at most 16, unidirectionally; (ii) the coexistability of ordinary and dark neural coding for (co-)behavior; (iii) a possible role for spinor (co-)representations, as the latent building blocks of self-organizing cortical circuits subserving (co-)behavioral states; (iv) an early crystallization of pertinent multidimensional synaptic (co-)architectures, whereby Lorentz (co-)partitions are in principle verifiable; (v) the allusion to octonionic dynamics sustained by triality, as candidate dynamics underlying internal states or emotions; and, ultimately, (vi) potentially inverse insights into matter-antimatter asymmetry. New avenues for the decryption of large-scale neural coding in health and disease are being discussed.
