Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sub 100nW volatile nano-metal-oxide memristor as synaptic-like encoder
  of neuronal spikes   Advanced neural interfaces mediate a bio-electronic link between the nervous
system and microelectronic devices, bearing great potential as innovative
therapy for various diseases. Spikes from a large number of neurons are
recorded leading to creation of big data that require on-line processing under
most stringent conditions, such as minimal power dissipation and on-chip space
occupancy. Here, we present a new concept where the inherent volatile
properties of a nano-scale memristive device are used to detect and compress
information on neural spikes as recorded by a multi-electrode array.
Simultaneously, and similarly to a biological synapse, information on spike
amplitude and frequency is transduced in metastable resistive state transitions
of the device, which is inherently capable of self-resetting and of continuous
encoding of spiking activity. Furthermore, operating the memristor in a very
high resistive state range reduces its average in-operando power dissipation to
less than 100 nW, demonstrating the potential to build highly scalable, yet
energy-efficient on-node processors for advanced neural interfaces.

5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int