Publications related to Encoding (memory)

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Qian Wang, Jan Sickmann Hesthaven, Nicolò Ripamonti

Closure modeling based on the Mori-Zwanzig formalism has proven effective to improve the stability and accuracy of projection-based model order reduction. However, closure models are often expensive and infeasible for complex nonlinear systems. Towards eff ...

2020

Obesity Impairs Short-Term and Working Memory through Gut Microbial Metabolism of Aromatic Amino Acids

Xavier Fernandez-Real Girona

The gut microbiome has been linked to fear extinction learning in animal models. Here, we aimed to explore the gut microbiome and memory domains according to obesity status. A specific microbiome profile associated with short-term memory, working memory, a ...

CELL PRESS2020

Subjective feeling of re‐experiencing past events using immersive virtual reality prevents a loss of episodic memory

Olaf Blanke, Bruno Herbelin, Andrea Serino, Robin Mange, Lucie Bréchet

Introduction: Personally meaningful past episodes, defined as episodic memories (EM), are subjectively re-experienced from the natural perspective and location of one's own body, as described by bodily self-consciousness (BSC). Neurobiological mechanisms o ...

2020

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Spiking neural networks (SNN) are computational models inspired by the brain's ability to naturally encode and process information in the time domain. The added temporal dimension is believed to render them more computationally efficient than the conventio ...

2020

Accurate deep neural network inference using computational phase-change memory

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

In-memory computing using resistive memory devices is a promising non-von Neumann approach for making energy-efficient deep learning inference hardware. However, due to device variability and noise, the network needs to be trained in a specific way so that ...

2020

Multi-Output Compliant Shape Memory Alloy Bias-Spring Actuators

Yves Perriard, Thomas Guillaume Martinez, Adrien Jean-Michel Thabuis, Sean Thomas

Smart Materials such as Shape Memory Alloys (SMA) play a major role in creating Smart Actuators that are compact and high performing. Traditional SMA bias-spring actuators are only capable of a single linear output. Using topology optimization, compliant S ...

IEEE2020

Converging intracortical signatures of two separated processing timescales in human early auditory cortex

Fabiano Baroni, Arwen Blanche Giraud

Neural oscillations in auditory cortex are argued to support parsing and representing speech constituents at their corresponding temporal scales. Yet, how incoming sensory information interacts with ongoing spontaneous brain activity, what features of the ...

2020

Shape Memory Effect of Benchmark Compliant Mechanisms Designed With Topology Optimization

Yves Perriard, Thomas Guillaume Martinez, Adrien Jean-Michel Thabuis, Sean Thomas

Shape Memory Alloys (SMA) are a class of Smart Materials that are ideal for creating compact actuators. The complex nature of their behavior results in the use of these materials in simple geometries (wires, sheets) limiting their performances. A design me ...

IEEE2020

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Encoding (memory)

Train the brain with music (TBM): brain plasticity and cognitive benefits induced by musical training in elderly people in Germany and Switzerland, a study protocol for an RCT comparing musical instrumental practice to sensitization to music

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Obesity Impairs Short-Term and Working Memory through Gut Microbial Metabolism of Aromatic Amino Acids

Subjective feeling of re‐experiencing past events using immersive virtual reality prevents a loss of episodic memory

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Accurate deep neural network inference using computational phase-change memory

Multi-Output Compliant Shape Memory Alloy Bias-Spring Actuators

Converging intracortical signatures of two separated processing timescales in human early auditory cortex

Shape Memory Effect of Benchmark Compliant Mechanisms Designed With Topology Optimization

Engram Excitement

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Chat with Graph Search

Subjective feeling of re‐experiencing past events using immersive virtual reality prevents a loss of episodic memory

Obesity Impairs Short-Term and Working Memory through Gut Microbial Metabolism of Aromatic Amino Acids

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Train the brain with music (TBM): brain plasticity and cognitive benefits induced by musical training in elderly people in Germany and Switzerland, a study protocol for an RCT comparing musical instrumental practice to sensitization to music

Multi-Output Compliant Shape Memory Alloy Bias-Spring Actuators

Shape Memory Effect of Benchmark Compliant Mechanisms Designed With Topology Optimization

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Engram Excitement

Converging intracortical signatures of two separated processing timescales in human early auditory cortex

Accurate deep neural network inference using computational phase-change memory