Shinomoto S
Department of Physics, Kyoto University, Japan.
Biol Cybern. 1987;57(3):197-206. doi: 10.1007/BF00364151.
By introducing a physiological constraint in the auto-correlation matrix memory, the system is found to acquire an ability in cognition i.e. the ability to identify an input pattern by its proximity to any one of the stored memories. The physiological constraint here is that the attribute of a given synapse (i.e. excitatory or inhibitory) is uniquely determined by the neuron it belongs. Thus the synaptic coupling is generally not symmetric. Analytical and numerical analyses revealed that the present model retrieves a memory if an input pattern is close to the pattern of the stored memories; if not, it gives a clear response by going into a special mode where almost all neurons are in the same state in each time step. This uniform mode may be stationary or periodic, depending on whether or not the number of the excitatory neurons exceeds the number of inhibitory neurons.
通过在自相关矩阵记忆中引入生理约束，发现该系统获得了认知能力，即通过与任何一个存储记忆的接近程度来识别输入模式的能力。这里的生理约束是，给定突触的属性（即兴奋性或抑制性）由其所属的神经元唯一确定。因此，突触耦合通常是不对称的。分析和数值分析表明，如果输入模式接近存储记忆的模式，当前模型会检索到一个记忆；如果不是，则通过进入一种特殊模式给出明确响应，在该模式下每个时间步几乎所有神经元都处于相同状态。这种均匀模式可能是静止的或周期性的，这取决于兴奋性神经元的数量是否超过抑制性神经元的数量。
