activity
20132023
most citedMemory and information processing in neuromorphic systems

1.1k citations · 4.6k across the 68 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

eess.SP2020★ 1 cited

A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG

Karla Burelo, Mohammadali Sharifshazileh, Niklaus Krayenbühl +3

To achieve seizure freedom, epilepsy surgery requires the complete resection of the epileptogenic brain tissue. In intraoperative ECoG recordings, high frequency oscillations (HFOs…

eess.SP2020★ 144 cited

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

Mohammadali Sharifshazileh, Karla Burelo, Johannes Sarnthein +1

In this work, we present a neuromorphic system that combines for the first time a neural recording headstage with a signal-to-spike conversion circuit and a multi-core spiking neur…

cs.ET2020

Implementing efficient balanced networks with mixed-signal spike-based learning circuits

Julian Büchel, Jonathan Kakon, Michel Perez +1

Efficient Balanced Networks (EBNs) are networks of spiking neurons in which excitatory and inhibitory synaptic currents are balanced on a short timescale, leading to desirable codi…

cs.ET2020★ 39 cited

Closed-loop spiking control on a neuromorphic processor implemented on the iCub

Jingyue Zhao, Nicoletta Risi, Marco Monforte +3

Despite neuromorphic engineering promises the deployment of low latency, adaptive and low power systems that can lead to the design of truly autonomous artificial agents, the devel…

cs.NE2020★ 11 cited

Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach

Sandro Baumgartner, Alpha Renner, Raphaela Kreiser +3

We present a spiking neural network (SNN) for visual pattern recognition with on-chip learning on neuromorphichardware. We show how this network can learn simple visual patterns co…

cs.ET2020★ 98 cited

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

Arianna Rubino, Can Livanelioglu, Ning Qiao +2

Recent years have seen an increasing interest in the development of artificial intelligence circuits and systems for edge computing applications. In-memory computing mixed-signal n…