models of neural

USAGE SUMMARY

The phrase "models of neural" is not complete and lacks context, making it difficult to determine its correctness in written English.
It could be used in contexts discussing various types of neural models, such as in neuroscience or artificial intelligence, but it needs additional words to form a complete thought. Example: "Researchers are developing new models of neural networks to improve machine learning algorithms."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

"Other people have built hardware models of neural networks.

The New York Times - Tech

Stephan, K. E. et al. Dynamic causal models of neural system dynamics: current state and future extensions.

Nature

We build predictive models of neural activity to understand tuning properties of areas of the extrastriate visual cortex.

University of California, Berkeley

von der Malsburg, C. in Models of Neural Networks II Ch. 2 (eds Domany, E., van Hemmen, J. L. & Schulten, K.) 95 119 (Springer Verlag, Berlin, 1981).

Nature

Just as tricky, there are few well-founded models of neural circuitry or brain biochemistry, and it is difficult to link this science with real-world behavior.

MIT Technology Review

Most models of neural associative memory have used networks with broad connectivity.

Neurocomputing

"Yesterday I almost fell out of my chair," said Olaf Sporns, who designs computer models of neural circuits at Indiana University.

The New York Times - Science

Köhler referred to these models of neural analogues of perceptual phenomena as physical Gestalten; unfortunately, there is little direct physiological evidence for them.

Encyclopedia Britannica

Neuromorphic computing was originally referred to as the hardware that mimics neuro-biological architectures to implement models of neural systems.

Integration

Quantitative maps of fibre orientation probability are derived and shown for one- and two-fibre models of neural architecture.

Magnetic Resonance Imaging

In neuroscience, creating such data requires plausible models of neural activity, access to high performance computers, expertise and time to prepare and run the simulations, and to process the output.

Yale University

Expert writing Tips

Best practice

When discussing "models of neural" systems, be specific about the type of model (e.g., computational, mathematical, circuit) to provide clarity and context.

Common error

Avoid using "models of neural" without specifying what aspects of the neural system are being modeled. Vague references can lead to misunderstandings. Provide details about the model's scope and limitations.

Linguistic Context

The phrase "models of neural" functions primarily as a noun phrase. It refers to representations or simulations of neural systems, circuits, or activity. Ludwig shows that the expression is frequently used across various scientific contexts.

Expression frequency: Very common

Frequent in

Science

57%

Academia

32%

News & Media

11%

Less common in

Encyclopedias

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "models of neural" is a noun phrase commonly used in scientific and academic contexts to refer to representations or simulations of neural systems. As shown by Ludwig, the expression is primarily used in the fields of science, academia, and to a lesser extent, news and media. When using this phrase, be specific about the type of model and the neural system being represented to ensure clarity. According to Ludwig AI, the phrase is correct and widely accepted, making it a reliable choice for technical writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

neural network models

Reverses the order, emphasizing the type of models being used.

computational neural models

Highlights the computational aspect of the neural models.

simulations of neural activity

Focuses on the simulation aspect rather than the model itself.

representations of neural systems

Emphasizes the representation of neural systems rather than the models.

neural circuit models

Specifies the type of neural model as focusing on circuits.

mathematical models of neural processes

Highlights the mathematical nature of the models.

brain simulation models

Uses "brain simulation" instead of "neural models".

cognitive models of neural function

Links neural function to cognitive processes.

theoretical neural models

Emphasizes the theoretical nature of the neural models.

neural system modeling

Changes the structure to focus on the act of modeling itself.

FAQs

How are "models of neural" networks used in research?

"Models of neural" networks are utilized in research to simulate and understand complex brain functions, predict neural activity, and develop new artificial intelligence algorithms.

What are some examples of "models of neural" circuits?

Examples include spiking neural networks, recurrent neural networks, and convolutional neural networks, each designed to model different aspects of neural processing.

What's the difference between "models of neural" networks and artificial neural networks?

"Models of neural" networks are biologically inspired simulations of the brain, while artificial neural networks are computational models that may or may not directly mimic biological structures but still follow a neural approach to achieve some goal. Both are important in different fields.

How do I choose the right "types of neural" models for my research?

Choosing the right model depends on your research question. Consider the complexity of the neural system you are trying to model, the available data, and the computational resources at your disposal.