Do artificial neural networks function like the human brain. Much of the current research is grounded in this, but even though neural nets are modeled after the brain, they do not mimic the human mind and there's a yawning gap between the architecture of
We conclude that neural activity associated with film cuts and eye movements is widespread across the brain and is modulated by semantic novelty.Similar content being viewed by others Cortical network responses map onto data-driven features that capture visual semantics of movie fragments Article Open...
Recent hierarchical convolutional neural networks (CNNs) have achieved human-like object categorization performance1,2,3,4. It has additionally been shown that representations formed in lower and higher layers of the network track those of the human lower and higher visual processing regions, respectiv...
A neural network is amachine learningprogram, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions. Every neural network consists of layers of n...
The meaning of NEURAL NETWORK is a computer architecture in which a number of processors are interconnected in a manner suggestive of the connections between neurons in a human brain and which is able to learn by a process of trial and error —called als
neural network alsoneural net n. A device or software program in which many interconnected elements process information simultaneously, adapting and learning from past patterns. Neural networks are often used to model the human brain. American Heritage® Dictionary of the English Language, Fifth Editi...
and forecast future events. A neural network breaks down the input into layers of abstraction. It can be trained using many examples to recognize patterns in speech or images just as the human brain does. The neural network behavior is defined by the way its individual elements are connected ...
The termneural networkis used to describe a number of different models intended to imitate some of the functions of the human brain, using certain of its basic structures. The development and use of neural networks is part of an area of multidisciplinary study that is commonly called neural com...
While CNNs can accurately assign one image to potentially thousands of categories, network performance could be the result of layers that are tuned to represent the visual shape of objects, rather than object category, since both are often confounded in natural images. Using two stimulus sets ...
Sensory representations, and thus human percepts, of the physical world are susceptible to fluctuations in brain state or “neural irregularity”. Furthermore, aging brains display altered levels of neural irregularity. We here show that a single, within-trial, information-theoretic measure (weighted...