神經計算歡迎旨在進一步了解神經網絡和學習系統的理論貢獻，包括但不限于架構、學習方法、網絡動力學分析、學習理論、自組織、生物神經網絡建模、感覺運動轉換和跨學科。人工智能、人工生命、認知科學、計算學習理論、模糊邏輯、遺傳算法、信息論、機器學習、神經生物學和模式識別等前沿課題。神經計算包括實際方面，并對神經計算的硬件和軟件開發環境（包括但不限于仿真軟件環境、仿真硬件體系結構、并行計算模型、神經計算機和神經芯片（數字、模擬、光學和生物制品）的進展作出貢獻。神經計算報告在不同領域的應用，包括但不限于信號處理、語音處理、圖像處理、計算機視覺、控制、機器人、優化、調度、資源分配和財務預測。出版物類型：神經計算出版有關神經計算和仿射領域的文獻綜述。神經計算會議報告，包括但不限于會議、講習班和研討會。神經計算信件允許快速出版特殊的短通信。

Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.Neurocomputing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).Neurocomputing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.Types of publications:Neurocomputing publishes reviews of literature about neurocomputing and affine fields.Neurocomputing reports on meetings, including, but not restricted to, conferences, workshops and seminars.Neurocomputing Letters allow for the rapid publication of special short communications.