Concept

Synaptic plasticity

Related publications (485)

Effect of the Synaptic Plasma Membrane on the Stability of the Amyloid Precursor Protein Homodimer

Matteo Dal Peraro, Alessandro Barducci, Thomas Lemmin, Martina Audagnotto

The proteolytic cleavage of the transmembrane (TM) domain of the amyloid precursor protein (APP) releases amyloid-beta (A beta) peptides, which accumulation in the brain tissue is an early indicator of Alzheimer's disease. We used multiscale molecular dyna ...

Amer Chemical Soc2016

When Neurons Fail - Technical Report

Rachid Guerraoui, El Mahdi El Mhamdi

Neural networks have been traditionally considered robust in the sense that their precision degrades gracefully with the failure of neurons and can be compensated by additional learning phases. Nevertheless, critical applications for which neural networks ...

EPFL2016

Neuromorphic Computing Using Non-Volatile Memory

Seyoung Kim, Yusuf Leblebici, Irem Boybat Kara, Alessandro Fumarola, Abu Sebastian, Severin Sidler

Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems. We first review recent advances in the application of NVM devices to thre ...

Taylor & Francis Ltd2016

Learning with Surprise

Mohammadjavad Faraji

Everybody knows what it feels to be surprised. Surprise raises our attention and is crucial for learning. It is a ubiquitous concept whose traces have been found in both neuroscience and machine learning. However, a comprehensive theory has not yet been de ...

EPFL2016

Involvement of CRFR1 in the basolateral amygdala in the immediate fear extinction deficit

Maria del Carmen Sandi Perez, Jocelin Grosse, Olivia Zanoletti, Fiona Hollis

Several animal and clinical studies have highlighted the ineffectiveness of fear extinction sessions delivered shortly after trauma exposure. This phenomenon, termed the immediate extinction deficit, refers to situations in which extinction programs applie ...

2016

A Model of Synaptic Reconsolidation

Wulfram Gerstner, Tilo Schwalger, Lorric Ziegler, David Barak Kastner

Reconsolidation of memories has mostly been studied at the behavioral and molecular level. Here, we put forward a simple extension of existing computational models of synaptic consolidation to capture hippocampal slice experiments that have been interprete ...

Frontiers Research Foundation2016

Towards Scalable Segmentation of 3D Image Stacks

Carlos Joaquin Becker

Imaging modalities such as Electron Microscopy (EM) and Light Microscopy (LM) can now deliver high-quality, high-resolution image stacks of neural structures. Though these imaging modalities can be used to analyze a variety of components that are critical ...

EPFL2016

Darwinian Dynamics of Embodied Chaotic Exploration

Joshua Evan Auerbach

We present Embodied Chaotic Exploration (ECE), a novel direction of research into a possible candidate for Darwinian neural dynamics, where such dynamics are occurring not at the level of synaptic connections, but rather at the slightly higher and more abs ...

ACM Press2016

Scalable Neuron Circuit Using Conductive-Bridge RAM for Pattern Reconstructions

Behnoush Attarimashalkoubeh

— A novel neuron circuit using a Cu/Ti/Al2O3-based conductive-bridge random access memory (CBRAM) device for hardware neural networks that utilize nonvolatile memories as synaptic weights is introduced. The neuronal operations are designed and proved using ...

Institute of Electrical and Electronics Engineers2016

Accelerating Machine Learning with Non-Volatile Memory: exploring device and circuit tradeoffs

Alessandro Fumarola, Severin Sidler

Large arrays of the same nonvolatile memories (NVM) being developed for Storage-Class Memory (SCM) such as Phase Change Memory (PCM) and Resistance RAM (ReRAM) - can also be used in non-Von Neumann neuromorphic computational schemes, with device conductanc ...

Ieee2016

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