Computational neuroscience and neuronal communication have been amongst the most sought after fields in the recent times. The integration of computational neuroscience and neuronal communication with evolution of information and communication technology leveraged the potential applications in many domains such as health care, nanomachine, pattern recognition, biological behaviour replication, designing hardwares for neurons, data mining , disease modeling. Therefore, a detailed understanding and modeling of neuron interconnection is highly essential. In this work, we have performed an extensive review of the recent developments in the fields of computational neuroscience, neuronal communication and neural learning. Further, review of computational neuroscience has been done for four broad categories, namely Leaky Integrate and Fire model, Hodgkin Huxley Model, Compartment Model and 2D reduction model. Most of these developments have come forth because of the recent developments in nanotechnology and bioinformatics. The presented work act as a reliable support for researchers from other domains of science and engineering wishing to jump start into computational neuroscience and neuronal communication .

计算神经科学和神经元通信已成为近来最抢手的领域。计算神经科学和神经元通信与信息通信技术的发展相结合，充分利用了许多领域的潜在应用，例如医疗保健，纳米机器，模式识别，生物行为复制，神经元设计硬件，数据挖掘，疾病建模。因此，对神经元互连的详细理解和建模非常重要。在这项工作中，我们对计算神经科学，神经元交流和神经学习领域的最新发展进行了广泛的回顾。此外，对计算神经科学的审查涵盖了四大类，即Leaky Integrate和Fire模型，Hodgkin Huxley模型，隔室模型和2D约简模型。由于纳米技术和生物信息学的最新发展，因此出现了大多数这些发展。提出的工作为希望进入计算神经科学和神经元交流的其他科学和工程领域的研究者提供了可靠的支持。