منابع مشابه
Neural systems integration
A need is identified to build models of the central nervous system that are semi-complete, applied within multiple contexts to multiple tasks, using methodologies that span multiple levels of abstraction. The issues and constraints in building such models are discussed with respect to completeness, validation, cost, scalability and robustness. An approach currently being explored is described t...
متن کاملDecentralized Multisensory Information Integration in Neural Systems.
UNLABELLED How multiple sensory cues are integrated in neural circuitry remains a challenge. The common hypothesis is that information integration might be accomplished in a dedicated multisensory integration area receiving feedforward inputs from the modalities. However, recent experimental evidence suggests that it is not a single multisensory brain area, but rather many multisensory brain ar...
متن کاملDynamic functional integration of distinct neural empathy systems.
Recent evidence points to two separate systems for empathy: a vicarious sharing emotional system that supports our ability to share emotions and mental states and a cognitive system that involves cognitive understanding of the perspective of others. Several recent models offer new evidence regarding the brain regions involved in these systems, but no study till date has examined how regions wit...
متن کاملUniversal conditions for exact path integration in neural systems.
Animals are capable of navigation even in the absence of prominent landmark cues. This behavioral demonstration of path integration is supported by the discovery of place cells and other neurons that show path-invariant response properties even in the dark. That is, under suitable conditions, the activity of these neurons depends primarily on the spatial location of the animal regardless of whi...
متن کاملIntegration of Neural Networks with Knowledge-Based Systems
Existing prejudices of some Artificial Intelligence researchers against neural networks are hard to break. One of their most important argument is that neural networks are not able to explain their decisions. Further they claim that neural networks are not able so solve the variable binding problem for unification. We show in this paper that neural networks and knowledge-based systems must not ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neurocomputing
سال: 2004
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2004.01.176