Agnati L F, Franzen O, Ferré S, Leo G, Franco R, Fuxe K
Department of BioMedical Sciences, Modena, Italy.
J Neural Transm Suppl. 2003(65):1-28. doi: 10.1007/978-3-7091-0643-3_1.
Learning in neuronal networks occurs by instructions to the neurons to change their synaptic weights (i.e., efficacies). According to the present model a molecular mechanism that can contribute to change synaptic weights may be represented by multiple interactions between membrane receptors forming aggregates (receptor mosaics) via oligomerization at both pre- and post-synaptic level. These assemblies of receptors together with inter alia single receptors, adapter proteins, G-proteins and ion channels form the membrane bound part of a complex three-dimensional (3D) molecular circuit, the cytoplasmic part of which consists especially of protein kinases, protein phosphatases and phosphoproteins. It is suggested that this molecular circuit has the capability to learn and store information. Thus, engram formation will depend on the resetting of 3D molecular circuits via the formation of new receptor mosaics capable of addressing the transduction of the chemical messages impinging on the cell membrane to certain sets of G-proteins. Short-term memory occurs by a transient stabilization of the receptor mosaics producing the appropriate change in the synaptic weight. Engram consolidation (long-term memory) may involve intracellular signals that translocate to the nucleus to cause the activation of immediate early genes and subsequent formation of postulated adapter proteins which stabilize the receptor mosaics with the formation of long-lived heteromeric receptor complexes. The receptor mosaic hypothesis of the engram formation has been formulated in agreement with the Hebbian rule and gives a novel molecular basis for it by postulating that the pre-synaptic activity change in transmitter and modulator release reorganizes the receptor mosaics at post-synaptic level and subsequently at pre-synaptic level with the formation of novel 3D molecular circuits leading to a different integration of chemical signals impinging on pre- and post-synaptic membranes hence leading to a new value of the synaptic weight. Engram retrieval is brought about by the scanning of the target networks by the highly divergent arousal systems. Hence, a continuous reverberating process occurs both at the level of the neural networks as well as at the level of the 3D molecular circuits within each neuron of the network until the appropriate tuning of the synaptic weights is obtained and, subsequently, the reappearance of the engram occurs. Learning and memory in the basal ganglia is discussed in the frame of the present hypothesis. It is proposed that formation of long-term memories (consolidated receptor mosaics) in the plasma membranes of the striosomal GABA neurons may play a major role in the motivational learning of motor skills of relevance for survival. In conclusion, long-lived heteromeric receptor complexes of high order may be crucial for learning, memory and retrieval processes, where extensive reciprocal feedback loops give rise to coherent synchronized neural activity (binding) essential for a sophisticated information handling by the central nervous system.
神经网络中的学习是通过指令神经元改变其突触权重(即效能)来实现的。根据当前模型,一种有助于改变突触权重的分子机制可能由膜受体之间的多种相互作用来表示,这些受体通过在突触前和突触后水平的寡聚化形成聚集体(受体镶嵌体)。这些受体组装体与单受体、衔接蛋白、G蛋白和离子通道等一起构成了一个复杂的三维(3D)分子回路的膜结合部分,其细胞质部分尤其由蛋白激酶、蛋白磷酸酶和磷蛋白组成。有人提出,这种分子回路具有学习和存储信息的能力。因此,记忆痕迹的形成将取决于通过形成新的受体镶嵌体来重置3D分子回路,这些新的受体镶嵌体能够将撞击细胞膜的化学信息转导至特定的G蛋白组。短期记忆通过受体镶嵌体的短暂稳定而发生,从而在突触权重上产生适当的变化。记忆痕迹巩固(长期记忆)可能涉及细胞内信号,这些信号转移到细胞核以激活立即早期基因,并随后形成假定的衔接蛋白,这些衔接蛋白通过形成长寿命的异源受体复合物来稳定受体镶嵌体。记忆痕迹形成的受体镶嵌体假说是根据赫布法则提出的,并通过假设递质和调质释放中的突触前活动变化在突触后水平重组受体镶嵌体,随后在突触前水平重组,形成新的3D分子回路,导致撞击突触前和突触后膜的化学信号的不同整合,从而导致突触权重的新值,为其提供了一个新的分子基础。记忆痕迹的检索是由高度发散的唤醒系统对目标网络进行扫描来实现的。因此,在神经网络层面以及网络中每个神经元内的3D分子回路层面都会发生持续的回响过程,直到获得突触权重的适当调整,随后记忆痕迹重新出现。本文在当前假说的框架内讨论了基底神经节中的学习和记忆。有人提出,纹状体GABA神经元质膜中长时记忆(巩固的受体镶嵌体)的形成可能在与生存相关的运动技能的动机学习中起主要作用。总之,高阶长寿命异源受体复合物可能对学习、记忆和检索过程至关重要,其中广泛的相互反馈回路产生连贯同步的神经活动(结合),这对于中枢神经系统进行复杂的信息处理至关重要。