Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast and Efficient Asynchronous Neural Computation with Adapting Spiking
  Neural Networks   Biological neurons communicate with a sparing exchange of pulses - spikes. It
is an open question how real spiking neurons produce the kind of powerful
neural computation that is possible with deep artificial neural networks, using
only so very few spikes to communicate. Building on recent insights in
neuroscience, we present an Adapting Spiking Neural Network (ASNN) based on
adaptive spiking neurons. These spiking neurons efficiently encode information
in spike-trains using a form of Asynchronous Pulsed Sigma-Delta coding while
homeostatically optimizing their firing rate. In the proposed paradigm of
spiking neuron computation, neural adaptation is tightly coupled to synaptic
plasticity, to ensure that downstream neurons can correctly decode upstream
spiking neurons. We show that this type of network is inherently able to carry
out asynchronous and event-driven neural computation, while performing
identical to corresponding artificial neural networks (ANNs). In particular, we
show that these adaptive spiking neurons can be drop in replacements for ReLU
neurons in standard feedforward ANNs comprised of such units. We demonstrate
that this can also be successfully applied to a ReLU based deep convolutional
neural network for classifying the MNIST dataset. The ASNN thus outperforms
current Spiking Neural Networks (SNNs) implementations, while responding (up
to) an order of magnitude faster and using an order of magnitude fewer spikes.
Additionally, in a streaming setting where frames are continuously classified,
we show that the ASNN requires substantially fewer network updates as compared
to the corresponding ANN.

5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin