Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NengoDL: Combining deep learning and neuromorphic modelling methods   NengoDL is a software framework designed to combine the strengths of
neuromorphic modelling and deep learning. NengoDL allows users to construct
biologically detailed neural models, intermix those models with deep learning
elements (such as convolutional networks), and then efficiently simulate those
models in an easy-to-use, unified framework. In addition, NengoDL allows users
to apply deep learning training methods to optimize the parameters of
biological neural models. In this paper we present basic usage examples,
benchmarking, and details on the key implementation elements of NengoDL. More
details can be found at https://www.nengo.ai/nengo-dl .

23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex