Publications related to Networks of Coupled VO2 Oscillators for Neuromorphic Computing

Experimental observation of topological transition in linear and nonlinear parametric oscillators

Romain Christophe Rémy Fleury, Benjamin Apffel

Parametric oscillators are examples of externally driven systems that can exhibit two stable states with opposite phase depending on the initial conditions. In this work, we propose to study what happens when the external forcing is perturbed by a continuo ...

2024

An exact mapping from ReLU networks to spiking neural networks

Wulfram Gerstner, Stanislaw Andrzej Wozniak, Ana Stanojevic, Giovanni Cherubini, Angeliki Pantazi

Deep spiking neural networks (SNNs) offer the promise of low-power artificial intelligence. However, training deep SNNs from scratch or converting deep artificial neural networks to SNNs without loss of performance has been a challenge. Here we propose an ...

2023

Task-driven neural network models predict neural dynamics of proprioception

Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi

Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

2023

A multichannel versatile brain activity classification and closed loop neuromodulation system, device and method using a highly multiplexed mixed-signal front-end

Mahsa Shoaran, Uisub Shin, Bingzhao Zhu

A closed-loop neuromodulation system, including an electrode array that is implantable to a brain of a subject, analog front-end device (AFD) for selectively selecting and reading a plurality of channels from electrode array, a finite impulse response (FIR ...

2023

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

Tilo Schwalger, Valentin Marc Schmutz

Bottom-up models of functionally relevant patterns of neural activity provide an explicit link between neuronal dynamics and computation. A prime example of functional activity patterns are propagating bursts of place-cell activities called hippocampal rep ...

PUBLIC LIBRARY SCIENCE2022

Coupled VO2 oscillators circuit as analog first layer filter in convolutional neural networks

Mihai Adrian Ionescu, Kirsten Emilie Moselund, Siegfried Karg, Elisabetta Corti

In this work we present an in-memory computing platform based on coupled VO2 oscillators fabricated in a crossbar configuration on silicon. Compared to existing platforms, the crossbar configuration promises significant improvements in terms of area densit ...

2021

Coupling-dependent convergence behavior of phase oscillators with tegotae-control

Auke Ijspeert, Jonathan Patrick Arreguit O'Neill, Simon Lukas Hauser, Matthieu Guillaume Marie Dujany

A bio-inspired way to model locomotion is using a network of coupled phase oscillators to create a Central Pattern Generator (CPG). The recently developed feedback control method tegotae includes exteroceptive force feedback into the governing phase update ...

IEEE2021

Slow-fast Dynamics of Strongly Coupled Adaptive Frequency Oscillators*

Auke Ijspeert, Jonas Buchli, Ludovic Righetti

Oscillators have two main limitations: their synchronization properties are limited (i.e., they have a finite synchronization region) and they have no memory of past interactions (i.e., they return to their intrinsic frequency whenever the entraining signa ...

SIAM PUBLICATIONS2021

A 60 GHz QDCO with 11 GHz Seamless Tuning for Low-Power FMCW Radars in 22-nm FDSOI

Christian Enz, Francesco Chicco, Sammy Cerida Rengifo

This paper presents the design of a 60GHz Quadrature Digitally-Controlled Oscillator for a low-power Frequency-Modulated Continuous Wave radar System-on-Chip. The accurate detection of vital signs requires 1 and Q demodulation of the received signal. The q ...

IEEE2021

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Networks of Coupled VO2 Oscillators for Neuromorphic Computing

Experimental observation of topological transition in linear and nonlinear parametric oscillators

An exact mapping from ReLU networks to spiking neural networks

Task-driven neural network models predict neural dynamics of proprioception

A multichannel versatile brain activity classification and closed loop neuromodulation system, device and method using a highly multiplexed mixed-signal front-end

Learning of physical systems: from inference to control

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

Coupled VO2 oscillators circuit as analog first layer filter in convolutional neural networks

Coupling-dependent convergence behavior of phase oscillators with tegotae-control

Slow-fast Dynamics of Strongly Coupled Adaptive Frequency Oscillators*

A 60 GHz QDCO with 11 GHz Seamless Tuning for Low-Power FMCW Radars in 22-nm FDSOI

Graph Chatbot

Chat with Graph Search

An exact mapping from ReLU networks to spiking neural networks

Experimental observation of topological transition in linear and nonlinear parametric oscillators

Task-driven neural network models predict neural dynamics of proprioception

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

A multichannel versatile brain activity classification and closed loop neuromodulation system, device and method using a highly multiplexed mixed-signal front-end

Coupled VO2 oscillators circuit as analog first layer filter in convolutional neural networks

Coupling-dependent convergence behavior of phase oscillators with tegotae-control

Learning of physical systems: from inference to control

A 60 GHz QDCO with 11 GHz Seamless Tuning for Low-Power FMCW Radars in 22-nm FDSOI

Slow-fast Dynamics of Strongly Coupled Adaptive Frequency Oscillators*